Amplitude, Inc.
For the period ended Mar 31, 2026. Filed May 7, 2026.
View on SEC.govAbout this filing
A company's report for each of its first three quarters. The financial statements are not audited. It shows how the business has moved since the last annual report, and what management says changed.
Mar 31, 2026 · Filed May 7, 2026
What changed in Risk Factors?
Read the current filingPrevious report: 10-Q
Period ended 2025-09-30; filed 2025-11-06.
0001193125-25-267492
Item 1A. Risk FactorsUnregistered Sales of Equity Securities and Use of ProceedsDefaults Upon Senior SecuritiesMine Safety DisclosuresOther InformationCurrent report: 10-Q
Period ended 2026-03-31; filed 2026-05-07.
0001193125-26-209631
Item 1A. Risk FactorsUnregistered Sales of Equity Securities and Use of ProceedsDefaults Upon Senior SecuritiesMine Safety DisclosuresOther InformationThe baseline is this issuer’s latest earlier reporting period of the same form that was filed before the current report. A previous 10-Q is a different quarter, not a year-over-year comparison. Amendments are excluded.
Compared 293 previous paragraphs and 290 current paragraphs.
214 unchanged; 73 reworded; 3 added; 4 removed; 2 previous and 0 current paragraphs rearranged.
Tables are not compared: 1 previous and 1 current tables excluded. Dates, whitespace, punctuation and numbering changes are ignored; changes to financial figures remain significant.
A changed paragraph is not evidence that risk increased or decreased. An unchanged paragraph does not establish that risk stayed the same.
Added paragraphs (3)
Current report
With respect to our products or services that incorporate AI Technologies, the market for such products and services is rapidly evolving and important assumptions about the characteristics of targeted markets, pricing, sales cycles, cost, performance, and perceived value associated with our products or services may be inaccurate. We cannot be sure that the market will continue to grow or that it will grow in ways we anticipate. In addition, market acceptance of products and services that incorporate AI Technologies is uncertain. Our failure to successfully develop and commercialize our products or services involving AI Technologies could depress the market price of our stock and impair our ability to: raise capital; expand our business; provide, improve and diversify our product offerings; continue our operations and efficiently manage our operating expenses; and respond effectively to competitive developments.
Current report
Additionally, a number of aspects of intellectual property protection in the field of AI and machine learning are currently under development, and there is uncertainty and ongoing litigation in different jurisdictions as to the degree and extent of protection warranted for AI and machine learning systems and relevant system input and outputs. The law is also uncertain across jurisdictions regarding the copyright ownership of content that is produced in whole or in part by generative AI tools. Our generative AI Technologies that are embedded in our AI Analytics Platform could generate output that is infringing, and we could be subject to claims or lawsuits, including for infringement of third-party intellectual property rights as a result of the output of such generative AI Technologies. If we fail to obtain protection for the intellectual property rights concerning our AI Technologies, or later have our intellectual property rights invalidated or otherwise diminished, our competitors may be able to take advantage of our research and development efforts to develop competing products which could adversely affect our business, reputation and financial condition.
Current report
Additionally in 2024, the National Security Division of the U.S. Department of Justice (“DOJ”) issued a rule—referred to as the “Data Security Program” (“DSP”)—to implement Executive Order 14117 aimed at preventing access to “bulk U.S. sensitive personal data” and “government-related data” by “countries of concern” (including China, Russia, Iran, North Korea, Cuba, and Venezuela) and “covered persons” (as all such terms are defined in the DSP). Effective as of April 8, 2025, and fully enforceable as of July 9, 2025, the DSP imposes stringent obligations on companies within its scope and prohibits or restricts “covered data transactions” that grant countries of concern or covered persons access to bulk U.S. sensitive personal data or any amount of government-related data. The DSP is new, complex and has yet to be enforced, and as such, there is a risk that our interpretation of its applicability, scope, and requirements is incorrect, incomplete, or misapplied. Compliance with the DSP may require us to invest heavily in data security and compliance measures, implement new processes, stop or restrict certain data transfers, alter the geographic scope of our operations, cease doing business with certain third parties or using certain tools or vendors, or change how data flows throughout our business, any of which could materially impact our business operations.
Removed paragraphs (4)
Previous report
It is possible that new laws and regulations will be adopted in the United States and in other non-U.S. jurisdictions, or it is possible that new laws and regulations will be adopted in the United States and in other non-U.S. jurisdictions, or that existing laws and regulations, including competition and antitrust laws, may be interpreted in ways that would limit our ability to use AI Technologies for our business, or require us to change the way we use AI Technologies in a manner that negatively affects the performance of our products, services, and business and the way in which we use AI Technologies. We may need to expend resources to adjust our products or services in certain jurisdictions if the laws, regulations, or decisions are not consistent across jurisdictions. Further, the cost to comply with such laws, regulations, or decisions and/or guidance interpreting existing laws, could be significant and would increase our operating expenses (such as by imposing additional reporting obligations regarding our use of AI Technologies). Such an increase in operating expenses, as well as any actual or perceived failure to comply with such laws and regulations, could adversely affect our business, financial condition, and results of operations.
Previous report
Since the beginning of 2021, companies have also had to comply with both the GDPR and the UK GDPR, which, together with the amended UK Data Protection Act 2018, retains the GDPR in U.K. national law. The UK GDPR mirrors the fines under the GDPR, imposing fines up to the greater of €20 million (£17.5 million) or 4% of a non-compliant undertaking’s annual global revenue for the preceding financial year. On October 12, 2023, the UK Extension to the DPF came into effect (as approved by the U.K. Government), as a data transfer mechanism from the United Kingdom to U.S. entities self-certified under the DPF. As we continue to expand into other foreign countries and jurisdictions, we may be subject to additional laws and regulations that may affect how we conduct business.
Previous report
Unregistered Sales of Equity Securities
Previous report
On July 3, 2025, we completed the acquisition of Kraftful, Inc. (“Kraftful”). In connection with the acquisition, we issued 322,173 shares of our common stock to an equity holder of Kraftful. The shares were issued in reliance on an exemption from registration provided for under Section 4(a)(2) of the Securities Act and/or Rule 506 of Regulation D promulgated thereunder. We relied on this exemption from registration based in part on the representations made by the equity holders.
Reworded paragraphs (73)
Previous wording
Our revenue was $299.3 million for the fiscal year ended December 31, 2024 and $251.8 million and $221.1 million for the nine months ended September 30, 2025 and 2024, respectively. However, you should not rely on our historical revenue growth as an indication of our future performance.
Current wording
Our revenue was $343.2 million for the fiscal year ended December 31, 2025 and $93.5 million and $80.0 million for the three months ended March 31, 2026 and 2025, respectively. However, you should not rely on our historical revenue growth as an indication of our future performance.
Previous wording
Our revenue growth rate may decline over time. In future periods, our revenue growth could slow or our revenue could decline for a number of reasons, including slowing demand for our Digital Analytics Platform, increased competition, changes to technology, a decrease in the growth of our overall market, or our failure, for any reason, to manage our growth effectively or to continue to take advantage of growth opportunities. We have also encountered, and will continue to encounter, risks and uncertainties frequently experienced by growing companies in rapidly changing industries, such as the risks and uncertainties described in this Quarterly Report on Form 10-Q. If our assumptions regarding these risks and uncertainties and our future revenue growth are incorrect or change, or if we do not address these risks successfully, our financial condition and results of operations could differ materially from our expectations, and our business could be materially adversely affected.
Current wording
Our revenue growth rate may decline over time. In future periods, our revenue growth could slow or our revenue could decline for a number of reasons, including slowing demand for our AI Analytics Platform, increased competition, changes to technology, a decrease in the growth of our overall market, or our failure, for any reason, to manage our growth effectively or to continue to take advantage of growth opportunities. We have also encountered, and will continue to encounter, risks and uncertainties frequently experienced by growing companies in rapidly changing industries, such as the risks and uncertainties described in this Quarterly Report on Form 10-Q. If our assumptions regarding these risks and uncertainties and our future revenue growth are incorrect or change, or if we do not address these risks successfully, our financial condition and results of operations could differ materially from our expectations, and our business could be materially adversely affected.
Previous wording
We have experienced net losses in each period since inception. We generated net losses of $94.3 million for the fiscal year ended December 31, 2024 and $70.9 million and $61.7 million for the nine months ended September 30, 2025 and 2024, respectively. As of September 30, 2025, we had an accumulated deficit of $528.7 million. We expect our costs and expenses to increase in future periods. In particular, we intend to continue to invest significant resources in:
Current wording
We have experienced net losses in each period since inception. We generated net losses of $88.5 million for the fiscal year ended December 31, 2025 and $23.3 million and $22.2 million for the three months ended March 31, 2026 and 2025, respectively. As of March 31, 2026, we had an accumulated deficit of $569.7 million. We expect our costs and expenses to increase in future periods. In particular, we intend to continue to invest significant resources in:
Previous wording
the development of our Digital Analytics Platform, including investments in our research and development team, the development or acquisition of new products, features, and functionality, and improvements to the scalability, availability, and security of our platform;
Current wording
the development of our AI Analytics Platform, including investments in our research and development team, the development or acquisition of new products, features, and functionality, and improvements to the scalability, availability, and security of our platform;
Previous wording
In order for us to maintain or improve our revenue growth and our results of operations, it is important that our customers renew their subscriptions when existing contract terms expire and that we expand our commercial relationships with our existing customers and attract new customers. We also seek to convert customers on our free-tier, self-service option to paid subscription contracts. Our customers have no obligation to renew their subscriptions, and our customers may not renew their subscriptions with similar contract periods or at all. Some of our customers have elected not to renew their agreements with us, and it is difficult to accurately predict long-term customer retention. In addition, our ability to attract new customers will depend on market acceptance of our Digital Analytics Platform and the successful implementation of our marketing strategy.
Current wording
In order for us to maintain or improve our revenue growth and our results of operations, it is important that our customers renew their subscriptions when existing contract terms expire and that we expand our commercial relationships with our existing customers and attract new customers. We also seek to convert customers on our free-tier, self-service option to paid subscription contracts. Our customers have no obligation to renew their subscriptions, and our customers may not renew their subscriptions with similar contract periods or at all. Some of our customers have elected not to renew their agreements with us, and it is difficult to accurately predict long-term customer retention. In addition, our ability to attract new customers will depend on market acceptance of our AI Analytics Platform and the successful implementation of our marketing strategy.
Previous wording
Our customer retention and expansion and the rate at which we attract new customers may decline or fluctuate as a result of a number of factors, including our customers’ satisfaction with our Digital Analytics Platform, our support capabilities, our prices and pricing plans, the prices and value of competing products, reductions in our customers’ spending levels, new product releases, mergers and acquisitions affecting our customer base, or the effects of global economic conditions. We may be unable to timely address any retention issues with specific customers, which could materially adversely affect our results of operations. If our customers do not purchase additional subscriptions or renew their subscriptions, or if they renew on less favorable terms, or if we are unable to attract new customers, our revenue may decline or grow less quickly, which would materially adversely affect our business, financial condition, and results of operations.
Current wording
Our customer retention and expansion and the rate at which we attract new customers may decline or fluctuate as a result of a number of factors, including our customers’ satisfaction with our AI Analytics Platform, our support capabilities, our prices and pricing plans, the prices and value of competing products, reductions in our customers’ spending levels, new product releases, mergers and acquisitions affecting our customer base, or the effects of global economic conditions. We may be unable to timely address any retention issues with specific customers, which could materially adversely affect our results of operations. If our customers do not purchase additional subscriptions or renew their subscriptions, or if they renew on less favorable terms, or if we are unable to attract new customers, our revenue may decline or grow less quickly, which would materially adversely affect our business, financial condition, and results of operations.
Previous wording
fluctuations in demand for, or pricing of, our Digital Analytics Platform, including as a result of our introduction of new products, features, and functionality;
Current wording
fluctuations in demand for, or pricing of, our AI Analytics Platform, including as a result of our introduction of new products, features, and functionality;
Previous wording
fluctuations in usage of our Digital Analytics Platform;
Current wording
fluctuations in usage of our AI Analytics Platform;
Previous wording
the potential adverse impact of climate change, natural disasters, health epidemics (such as the COVID-19 pandemic or similar outbreaks of disease), political and social instability, including acts of war or other armed conflicts (including the war in Ukraine and the conflicts in the Middle East), and terrorist activities, on our business, operations, and the markets and communities in which we and our customers and partners operate and the disruption these events may cause to the global economy;
Current wording
the potential adverse impact of climate change, natural disasters, health epidemics, political and social instability, including acts of war or other armed conflicts (including the war in Ukraine and the conflicts in the Middle East), and terrorist activities, on our business, operations, and the markets and communities in which we and our customers and partners operate and the disruption these events may cause to the global economy;
Previous wording
Any of these and other factors, or the cumulative effect of some of these factors, may cause our results of operations to vary significantly. To the extent our results of operations fall below the expectations of investors and securities analysts who follow our stock, the trading price of our Class A common stock could decline substantially, and we could face costly lawsuits, including securities class action litigation. For example, we previously defended against a securities class action lawsuit ("Securities Class Action") and a shareholder derivative lawsuit ("Derivative Action"), which were filed in the United States District Court for the Northern District of California. We are also currently defending against two privacy class actions and previously defended against a third privacy action. See “Legal Matters” in Note 9 to our condensed consolidated financial statements included in Part I, Item 1 of this Quarterly Report on Form 10-Q for additional information regarding the Securities Class Action, the Derivative Action and privacy actions. We have incurred and will continue to incur significant legal costs in connection with the defense of these lawsuits and management will be required to devote significant time in managing the defense of the actions.
Current wording
Any of these and other factors, or the cumulative effect of some of these factors, may cause our results of operations to vary significantly. To the extent our results of operations fall below the expectations of investors and securities analysts who follow our stock, the trading price of our Class A common stock could decline substantially, and we could face costly lawsuits, including securities class action litigation. For example, we previously defended against a securities class action lawsuit and a shareholder derivative lawsuit, which were filed in the United States District Court for the Northern District of California. We are also currently defending against two privacy class actions and previously defended against a third privacy action. See “Legal Matters” in Note 9 to our condensed consolidated financial statements included in Part I, Item 1 of this Quarterly Report on Form 10-Q for additional information regarding the privacy actions. We have incurred and will continue to incur significant legal costs in connection with the defense of these lawsuits and management will be required to devote significant time in managing the defense of the actions.
Previous wording
We expect to continue to focus on sales to larger organizations and may become more dependent on those relationships, which may increase the variability of our sales cycle and our results of operations.
Current wording
We expect to continue to focus on sales to larger enterprise organizations and may become more dependent on those relationships, which may increase the variability of our sales cycle and our results of operations.
Previous wording
As we continue to focus on, and may become more dependent on, sales to larger organizations, we expect our sales cycle to lengthen and become less predictable. We plan our expenses based on certain assumptions about the length and variability of our sales cycle. These assumptions are based upon historical trends for sales cycles and conversion rates associated with our existing customers.
Current wording
As we continue to focus on, and may become more dependent on, sales to larger organizations, we expect our sales cycle to lengthen and become less predictable. We plan our expenses based on certain assumptions about the length and variability of our sales cycle. These assumptions are based upon historical trends for sales cycles and conversion rates associated with our existing customers. Any shift in our sales cycle may adversely affect our financial results. Factors that may influence the length and variability of our sales cycle include:
Previous wording
the need to educate prospective customers about the uses and benefits of our Digital Analytics Platform;
Current wording
the need to educate prospective customers about the uses and benefits of our AI Analytics Platform;
Previous wording
We generally recognize subscription revenue from customers ratably over the contracted period. As a result, a portion of the revenue we report in each quarter is derived from the recognition of deferred revenue relating to subscriptions entered into during previous quarters. Consequently, a decline in new or renewed subscriptions in a given quarter may have a small impact on our revenue results for that quarter. However, such a decline will negatively affect our revenue in future quarters. Accordingly, the effect of significant downturns in sales and market acceptance of our Digital Analytics Platform, including as a result of a general economic downturn, and potential changes in our pricing policies or rate of customer expansion or retention, may not be fully reflected in our results of operations until future periods. We may also be unable to reduce our cost structure in line with a significant deterioration in sales. In addition, a significant majority of our costs are expensed as incurred, while revenue is recognized over the contracted period of the agreement with our customer. As a result, increased growth in the number of our customers could continue to result in our recognition of more costs than revenue in the earlier periods of the terms of our customer agreements. Our subscription model also makes it difficult for us to rapidly increase our revenue through additional sales in any period, as revenue from new customers must be recognized over the applicable subscription term.
Current wording
We generally recognize subscription revenue from customers ratably over the contracted period. As a result, a portion of the revenue we report in each quarter is derived from the recognition of deferred revenue relating to subscriptions entered into during previous quarters. Consequently, a decline in new or renewed subscriptions in a given quarter may have a small impact on our revenue results for that quarter. However, such a decline will negatively affect our revenue in future quarters. Accordingly, the effect of significant downturns in sales and market acceptance of our AI Analytics Platform, including as a result of a general economic downturn, and potential changes in our pricing policies or rate of customer expansion or retention, may not be fully reflected in our results of operations until future periods. We may also be unable to reduce our cost structure in line with a significant deterioration in sales. In addition, a significant majority of our costs are expensed as incurred, while revenue is recognized over the contracted period of the agreement with our customer. As a result, increased growth in the number of our customers could continue to result in our recognition of more costs than revenue in the earlier periods of the terms of our customer agreements. Our subscription model also makes it difficult for us to rapidly increase our revenue through additional sales in any period, as revenue from new customers must be recognized over the applicable subscription term.
Previous wording
Our results of operations may vary based on the impact of changes in our industry or the global economy on us or our customers or potential customers. Our ability to grow our revenue and the profitability of our business depends, in part, on demand for software applications generally. Historically, during economic downturns there have been reductions in spending on software applications and services generally, as well as pressure for extended billing terms and other financial concessions. To the extent that economic conditions deteriorate in the United States or abroad, including as a result of inflationary pressures and the responses by central banking authorities to control such inflation, rising interest rates, debt and equity market fluctuations, bank failures, diminished liquidity and credit availability, increased unemployment rates, decreased investor and consumer confidence, political turmoil, the imposition of tariffs and any retaliatory trade protection measures or trade wars that ensue, supply chain challenges, natural catastrophes and the effects of climate change, regional and global conflicts, and terrorist attacks on the United States, Europe, the Middle East, the Asia-Pacific region, or elsewhere, our customers and prospective customers may go out of business or elect to decrease their budgets, which would limit our ability to grow our business and materially adversely affect our financial condition and results of operations. For example, high levels of inflation and rising interest rates, as recently experienced in the United States, may impact businesses across many industries, including ours, by increasing the costs of labor, employee healthcare, components, and freight and shipping, which may further constrain our customers’ or prospective customers’ budgets. To the extent there is a sustained general economic downturn and our Digital Analytics Platform is perceived by customers or potential customers as costly, or too difficult to deploy or migrate to, our revenue may be disproportionately affected by delays or reductions in spending on software applications. In addition, our competitors, many of whom are larger and have greater financial resources than we do, may respond to challenging market conditions by lowering prices in an attempt to attract our customers or prospective customers, and they may be less dependent on key industry events to generate sales for their products. Further, macroeconomic uncertainty may result in an increased pace of consolidation in certain industries. If this were to occur, such consolidation may result in reduced overall spending on our services, particularly if our customers are acquired by organizations that do not use our services. We cannot predict the timing, strength, or duration of any economic slowdown, instability, or recovery, generally or within any particular industry. If the economic conditions of the general economy or markets in which we operate worsen from present levels, our bu…
Excerpt shortened here; the source contains the full paragraph.
Current wording
Our results of operations may vary based on the impact of changes in our industry or the global economy on us or our customers or potential customers. Our ability to grow our revenue and the profitability of our business depends, in part, on demand for software applications generally. Historically, during economic downturns there have been reductions in spending on software applications and services generally, as well as pressure for extended billing terms and other financial concessions. To the extent that economic conditions deteriorate in the United States or abroad, including as a result of inflationary pressures and the responses by central banking authorities to control such inflation, rising interest rates, debt and equity market fluctuations, bank failures, diminished liquidity and credit availability, increased unemployment rates, decreased investor and consumer confidence, political turmoil, the imposition of tariffs and any retaliatory trade protection measures or trade wars that ensue, supply chain challenges, natural catastrophes and the effects of climate change, regional and global conflicts, and terrorist attacks on the United States, Europe, the Middle East, the Asia-Pacific region, or elsewhere, our customers and prospective customers may go out of business or elect to decrease their budgets, which would limit our ability to grow our business and materially adversely affect our financial condition and results of operations. For example, high levels of inflation and rising interest rates, as recently experienced in the United States, may impact businesses across many industries, including ours, by increasing the costs of labor, employee healthcare, components, and freight and shipping, which may further constrain our customers’ or prospective customers’ budgets. To the extent there is a sustained general economic downturn and our AI Analytics Platform is perceived by customers or potential customers as costly, or too difficult to deploy or migrate to, our revenue may be disproportionately affected by delays or reductions in spending on software applications. In addition, our competitors, many of whom are larger and have greater financial resources than we do, may respond to challenging market conditions by lowering prices in an attempt to attract our customers or prospective customers, and they may be less dependent on key industry events to generate sales for their products. Further, macroeconomic uncertainty may result in an increased pace of consolidation in certain industries. If this were to occur, such consolidation may result in reduced overall spending on our services, particularly if our customers are acquired by organizations that do not use our services. We cannot predict the timing, strength, or duration of any economic slowdown, instability, or recovery, generally or within any particular industry. If the economic conditions of the general economy or markets in which we operate worsen from present levels, our busines…
Excerpt shortened here; the source contains the full paragraph.
Previous wording
Our success will depend to a substantial extent on the widespread adoption of SaaS applications in general, and of SaaS applications that look to solve aspects of digital analytics. Many organizations have invested substantial personnel and financial resources to integrate traditional on-premise business software applications into their businesses, and therefore may be reluctant or unwilling to migrate to SaaS applications. It is difficult to predict customer adoption rates and demand for our Digital Analytics Platform, the future growth rate and size of the SaaS applications market, or the entry of competitive applications. The expansion of the SaaS applications market depends on a number of factors, including the cost, performance, and perceived value associated with SaaS, as well as the ability of SaaS providers to address data security and privacy concerns. Additionally, government agencies have adopted, or may adopt, laws and regulations, and companies have adopted and may adopt policies regarding the collection and use of personal information obtained from consumers and other individuals, or may seek to access information on our platform, either of which may reduce the overall demand for our Digital Analytics Platform. If we or other SaaS providers experience data security incidents, loss of customer data, disruptions in delivery, or other problems, the market for SaaS applications, including our Digital Analytics Platform, may be negatively affected. If SaaS applications do not continue to achieve market acceptance, or there is a reduction in demand for SaaS applications caused by a lack of customer acceptance, technological challenges, weakening economic conditions, data security or privacy concerns, governmental regulation, competing technologies and products, or decreases in spending on SaaS applications, it would result in decreased revenue and our business, financial condition, and results of operations would be materially adversely affected.
Current wording
Our success will depend to a substantial extent on the widespread adoption of SaaS applications in general, and of SaaS applications that look to solve aspects of AI analytics. Many organizations have invested substantial personnel and financial resources to integrate traditional on-premise business software applications into their businesses, and therefore may be reluctant or unwilling to migrate to SaaS applications. It is difficult to predict customer adoption rates and demand for our AI Analytics Platform, the future growth rate and size of the SaaS applications market, or the entry of competitive applications. The expansion of the SaaS applications market depends on a number of factors, including the cost, performance, and perceived value associated with SaaS, as well as the ability of SaaS providers to address data security and privacy concerns. Additionally, government agencies have adopted, or may adopt, laws and regulations, and companies have adopted and may adopt policies regarding the collection and use of personal information obtained from consumers and other individuals, or may seek to access information on our platform, either of which may reduce the overall demand for our AI Analytics Platform. If we or other SaaS providers experience data security incidents, loss of customer data, disruptions in delivery, or other problems, the market for SaaS applications, including our AI Analytics Platform, may be negatively affected. If SaaS applications do not continue to achieve market acceptance, or there is a reduction in demand for SaaS applications caused by a lack of customer acceptance, technological challenges, weakening economic conditions, data security or privacy concerns, governmental regulation, competing technologies and products, or decreases in spending on SaaS applications, it would result in decreased revenue and our business, financial condition, and results of operations would be materially adversely affected.
Previous wording
The market for applications that look to address digital analytics is fragmented, rapidly evolving, and highly competitive, with relatively low barriers to entry. As this market continues to mature and new technologies and competitors enter the market, we expect competition to intensify. We face competition from:
Current wording
The market for applications that look to address AI analytics is fragmented, rapidly evolving, and highly competitive, with relatively low barriers to entry. As this market continues to mature and new technologies and competitors enter the market, we expect competition to intensify. We face competition from:
Previous wording
Our competitors may be able to respond more quickly and effectively than we can to new or changing opportunities, technologies, standards, or customer requirements. With the introduction of new technologies, the evolution of our Digital Analytics Platform, and new market entrants, we expect competition to intensify in the future. Pricing pressures and increased competition generally could result in reduced sales, reduced margins, financial losses, or the failure of our Digital Analytics Platform to achieve or maintain more widespread market acceptance, any of which could harm our business.
Current wording
Our competitors may be able to respond more quickly and effectively than we can to new or changing opportunities, technologies, standards, or customer requirements. With the introduction of new technologies, the evolution of our AI Analytics Platform, and new market entrants, we expect competition to intensify in the future. Pricing pressures and increased competition generally could result in reduced sales, reduced margins, financial losses, or the failure of our AI Analytics Platform to achieve or maintain more widespread market acceptance, any of which could harm our business.
Previous wording
Our competitors vary in size and in the breadth and scope of the products and services they offer. Further, other established SaaS providers not currently focused on digital analytics may expand their services to compete with us. Many of our current and potential competitors have established marketing relationships, access to larger customer bases, pre-existing customer relationships, and major distribution agreements with consultants, system integrators, and resellers. Certain of our competitors have partnered with, or have acquired, and may in the future partner with or acquire, other competitors to offer services, leveraging their collective competitive positions, which makes, or would make, it more difficult to compete with them. For all of these reasons, we may not be able to compete successfully against our current and future competitors, which would harm our business. For more information about the competitive landscape in which we operate, see “Part I, Item 1. Business—Competition” in our 2024 Form 10-K.
Current wording
Our competitors vary in size and in the breadth and scope of the products and services they offer. Further, other established SaaS providers not currently focused on AI analytics may expand their services to compete with us. Many of our current and potential competitors have established marketing relationships, access to larger customer bases, pre-existing customer relationships, and major distribution agreements with consultants, system integrators, and resellers. Certain of our competitors have partnered with, or have acquired, and may in the future partner with or acquire, other competitors to offer services, leveraging their collective competitive positions, which makes, or would make, it more difficult to compete with them. For all of these reasons, we may not be able to compete successfully against our current and future competitors, which would harm our business. For more information about the competitive landscape in which we operate, see “Part I, Item 1. Business—Competition” in our 2025 Form 10-K.
Previous wording
Our ability to attract new customers and retain and increase revenue from existing customers depends in large part on our ability to enhance and improve our Digital Analytics Platform and to introduce new products, features, and functionality. In order to grow our business, we must develop products, features, and functionality that reflect the changing needs of customers, and we believe that the pace of innovation will continue to accelerate. The success of any enhancement to our Digital Analytics Platform depends on several factors, including timely completion, adequate quality testing, and market acceptance. Any new product, feature, or functionality that we develop may not be introduced in a timely or cost-effective manner, may contain defects, or may not achieve the market acceptance necessary to generate sufficient revenue. If we are unable to successfully develop new products, features or functionality, enhance our Digital Analytics Platform to meet customer requirements, or otherwise gain market acceptance, our business, financial condition, and results of operations could be materially adversely affected.
Current wording
Our ability to attract new customers and retain and increase revenue from existing customers depends in large part on our ability to enhance and improve our AI Analytics Platform and to introduce new products, features, and functionality. In order to grow our business, we must develop products, features, and functionality that reflect the changing needs of customers, and we believe that the pace of innovation will continue to accelerate. The success of any enhancement to our AI Analytics Platform depends on several factors, including timely completion, adequate quality testing, and market acceptance. Any new product, feature, or functionality that we develop may not be introduced in a timely or cost-effective manner, may contain defects, or may not achieve the market acceptance necessary to generate sufficient revenue. If we are unable to successfully develop new products, features or functionality, enhance our AI Analytics Platform to meet customer requirements, or otherwise gain market acceptance, our business, financial condition, and results of operations could be materially adversely affected.
Previous wording
Because our Digital Analytics Platform is available over the internet, we need to continuously modify and enhance it to keep pace with changes in internet-related hardware, software, analytics, and database technologies and standards. In addition, we need to continue to invest in technologies, services, and partnerships that increase the types of data processed on our platform and the ease with which customers can send data into our platform. We must also continue to enhance our data sharing and data exchange capabilities so customers can share their data with internal business units, customers, and other third parties. In addition, our platform requires third-party public cloud infrastructure to operate. We must continue to innovate to optimize our offerings for these and other public clouds that our customers require, particularly as we expand internationally. Further, the markets in which we compete are subject to evolving industry standards and regulations, resulting in increasing data governance and compliance requirements for us and our customers. To the extent we expand into the public sector and other highly regulated industries, our Digital Analytics Platform may need to address additional requirements specific to those industries.
Current wording
Because our AI Analytics Platform is available over the internet, we need to continuously modify and enhance it to keep pace with changes in internet-related hardware, software, analytics, and database technologies and standards. In addition, we need to continue to invest in technologies, services, and partnerships that increase the types of data processed on our platform and the ease with which customers can send data into our platform. We must also continue to enhance our data sharing and data exchange capabilities so customers can share their data with internal business units, customers, and other third parties. In addition, our platform requires third-party public cloud infrastructure to operate. We must continue to innovate to optimize our offerings for these and other public clouds that our customers require, particularly as we expand internationally. Further, the markets in which we compete are subject to evolving industry standards and regulations, resulting in increasing data governance and compliance requirements for us and our customers. To the extent we expand into the public sector and other highly regulated industries, our AI Analytics Platform may need to address additional requirements specific to those industries.
Previous wording
If we are unable to enhance our Digital Analytics Platform to keep pace with these rapidly evolving customer requirements, or if new technologies emerge that are able to deliver competitive products at lower prices, more efficiently, more conveniently, or more securely than our platform, our business, financial condition, and results of operations would be materially adversely affected.
Current wording
If we are unable to enhance our AI Analytics Platform to keep pace with these rapidly evolving customer requirements, or if new technologies emerge that are able to deliver competitive products at lower prices, more efficiently, more conveniently, or more securely than our platform, our business, financial condition, and results of operations would be materially adversely affected.
Previous wording
If we fail to properly develop, invest in, and manage AI Technologies used in our products and services, our business, financial condition, and results of operations could be materially adversely affected.
Current wording
If we fail to properly develop, invest in, deploy, and manage AI Technologies used in our AI Analytics Platform, our business, financial condition, and results of operations could be materially adversely affected.
Previous wording
We have incorporated, and expect in the future we will continue to incorporate, machine learning and generative artificial intelligence technologies (collectively, “AI Technologies”) into our product offerings. We offer our customers a suite of AI Technologies that help them achieve data insights faster. For example, we leverage large language models (“LLMs”) in certain features to aid customers in analyzing their product data.
Current wording
We have incorporated, and expect in the future we will continue to incorporate AI Technologies into our AI Analytics Platform, and are making significant investments in this area. Across our AI Analytics Platform, we offer our customers a suite of AI Technologies that are designed to help them surface, interpret, and achieve data insights faster, including capabilities that leverage large language models ("LLM") (i.e., AI models that can produce and output new data and information). For example, certain features use LLMs to enable natural language querying of product data, generate summaries of trends, and aid customers in analyzing their product data.
Previous wording
We incorporate LLMs (i.e., AI models that can produce and output new data and information) into certain of our products and services. There is a risk that AI Technologies could produce inaccurate or misleading data or other discriminatory or unexpected results or behaviors, all of which could harm our reputation, business, or customer relationships. While we take measures designed to ensure the accuracy of AI-generated insights, those measures may not always be successful, and in some cases, we may need to rely on users to report such inaccuracies.
Current wording
We incorporate LLMs into certain of our products and services as part of our AI Analytics Platform. There is a risk that AI Technologies could produce inaccurate or misleading data or other discriminatory or unexpected results or behaviors, all of which could harm our reputation, business, or customer relationships. While we take measures designed to ensure the accuracy of AI-generated insights, those measures may not always be successful, and in some cases, we may need to rely on users to report such inaccuracies.
Previous wording
Additionally, any output data created using AI Technologies, including LLMs, may not be subject to copyright protection which may adversely affect our intellectual property rights in, or ability to commercialize or use, the output data. In the United States, a number of civil lawsuits have been initiated related to the foregoing and other concerns, the outcome of any one of which may, among other things, require us to limit the ways in which we use AI Technologies in our business. While AI-related lawsuits to date have generally focused on the AI service providers themselves, our use of any output produced by AI Technologies may expose us to claims, increasing our risks of liability. For example, the output data produced by certain AI Technologies may include information subject to certain privacy laws or constitute an unauthorized derivative work of the copyrighted material used in training the underlying AI Technology, any of which could also create a risk of liability for us, or adversely affect our customers and our business or operations.
Current wording
Additionally, any output data created using AI Technologies, including LLMs, may not be subject to copyright protection which may adversely affect our intellectual property rights in, or ability to commercialize or use, the output data. In the United States, a number of civil lawsuits have been initiated related to the foregoing and other concerns, the outcome of any one of which may, among other things, require us to limit the ways in which we use AI Technologies in our business. While AI-related lawsuits to date have generally focused on the AI service providers themselves, our use of any output produced by AI Technologies may expose us to claims, increasing our risks of liability. For example, the output data produced by certain AI Technologies may include information subject to certain privacy laws or constitute an unauthorized derivative work of the copyrighted material used in training the underlying AI Technologies, any of which could also create a risk of liability for us, or adversely affect our customers and our business or operations.
Previous wording
We use AI Technologies licensed from third parties in our products and services and our ability to continue to use such technologies at the scale we need may be dependent on access to specific third-party technology. We cannot control the availability or pricing of such third-party AI Technologies, especially in a highly competitive environment, and we may be unable to negotiate favorable economic terms with the applicable providers. If any such third-party AI Technologies become incompatible with our solutions or unavailable for use, or if the providers of such models unfavorably change the terms on which their AI Technologies are offered or terminate their relationship with us, our solutions may become less appealing to our customers and our business could be harmed.
Current wording
In addition to our proprietary AI Technologies, we use AI Technologies licensed from third parties in our products and services and our ability to continue to use such technologies at the scale we need may be dependent on access to specific third-party technology. We cannot control the availability or pricing of such third-party AI Technologies, especially in a highly competitive environment, and we may be unable to negotiate favorable economic terms with the applicable providers. If any such third-party AI Technologies become incompatible with our solutions or unavailable for use, or if the providers of such models unfavorably change the terms on which their AI Technologies are offered or terminate their relationship with us, our solutions may become less appealing to our customers and our business could be harmed. In addition, to the extent any third-party AI Technologies are used as a hosted service, any disruption, outage, or loss of information through such hosted services could disrupt our operations or solutions, damage our reputation, cause a loss of confidence in our solutions, or result in legal claims or proceedings, for which we may be unable to recover damages from the affected provider.
Previous wording
Issues relating to the responsible use of our technologies, including AI Technologies in our offerings, may result in reputational or financial harm and liability.
Current wording
Issues relating to the responsible use of our technologies, including AI Technologies in our AI Analytics Platform, may result in reputational or financial harm and liability.
Previous wording
Concerns relating to the responsible use of new and evolving technologies, such as AI Technologies, in our products and services may result in reputational or financial harm and liability and may cause us to incur costs to resolve such issues. AI Technologies pose emerging legal, security, social, and ethical issues and present risks and challenges that could affect adoption, and therefore our business. If we enable or offer solutions that draw controversy due to their perceived or actual impact on society, such as AI Technologies solutions that have unintended consequences, infringe copyright, or are controversial because of their impact on privacy, employment, or other social or economic issues, or if we are unable to develop effective internal policies and frameworks relating to the responsible development and use of AI Technologies within our product offerings, we may experience brand or reputational harm, competitive harm, financial harm, and/or legal liability. Our failure to adequately address concerns and regulations relating to the responsible use of AI Technologies by us or others could undermine public confidence and slow adoption of our products and services or cause reputational or financial harm.
Current wording
Concerns relating to the responsible use of new and evolving technologies, such as AI Technologies, in our AI Analytics Platform may result in reputational or financial harm and liability and may cause us to incur costs to resolve such issues. AI Technologies pose emerging legal, security, social, and ethical issues and present risks and challenges that could affect adoption, and therefore our business. If we enable or offer solutions that draw controversy due to their perceived or actual impact on society, such as AI Technologies solutions that have unintended consequences, infringe copyright, or are controversial because of their impact on privacy, employment, or other social or economic issues, or if we are unable to develop effective internal policies and frameworks relating to the responsible development and use of AI Technologies within our product offerings, we may experience brand or reputational harm, competitive harm, financial harm, and/or legal liability. Our failure to adequately address concerns and regulations relating to the responsible use of AI Technologies by us or others could undermine public confidence and slow adoption of our products and services or cause reputational or financial harm.
Previous wording
We have experienced, and may continue to experience, rapid growth in our business and operations, which has placed, and may continue to place, significant demands on our management and operational and financial resources. Recent unfavorable conditions in the macroeconomic environment have constrained growth in the economy generally, and in the software industry in particular, and many of our customers have consequently experienced a downturn in their business outlook. We intend to continue to invest to expand our business, personnel, and operations, which may cause our margins to decline, and any investments we make will occur in advance of experiencing the benefits from such investments, making it difficult to determine in a timely manner if we are efficiently allocating our resources. As usage of our Digital Analytics Platform grows, we will need to devote additional resources to improving our platform’s features and functionality, developing or acquiring new products, and maintaining infrastructure performance. Even if we are able to upgrade our systems and expand our personnel, any such expansion will be expensive and complex, requiring management’s time and attention. We could also face inefficiencies or operational failures as a result of our efforts to scale our infrastructure. Moreover, there are inherent risks associated with upgrading, improving, and expanding our information technology systems. We cannot be sure that the expansion and improvements to our infrastructure and systems will be fully or effectively implemented on a timely basis, if at all. In addition, we will need to appropriately scale our internal business systems and our services organization, including customer support, to serve our growing customer base, particularly as our customer demographics change over time. Managing these changes will require significant expenditures and allocation of valuable management resources. If we fail to successfully manage our anticipated growth and changes to our business, the quality of our products may suffer, which could negatively affect our brand and reputation and harm our ability to attract new customers and retain existing customers. As we continue to grow, we may need to implement more complex organizational management structures or adapt our corporate culture and work environments to changing circumstances, which could have an adverse impact on our corporate culture. Any failure to preserve our culture could harm our business, including our ability to retain and recruit personnel, innovate and operate effectively, and execute on our business strategy.
Current wording
As we continue to grow and expand our business and operations, significant demands may be placed on our management and operational and financial resources. We intend to continue to invest to expand our business, personnel, and operations, which may cause our margins to decline, and any investments we make will occur in advance of experiencing the benefits from such investments, making it difficult to determine in a timely manner if we are efficiently allocating our resources. As usage of our AI Analytics Platform grows, we will need to devote additional resources to improving our platform’s features and functionality, developing or acquiring new products, and maintaining infrastructure performance. Even if we are able to upgrade our systems and expand our personnel, any such expansion will be expensive and complex, requiring management’s time and attention. We could also face inefficiencies or operational failures as a result of our efforts to scale our infrastructure. Moreover, there are inherent risks associated with upgrading, improving, and expanding our information technology systems. We cannot be sure that the expansion and improvements to our infrastructure and systems will be fully or effectively implemented on a timely basis, if at all. In addition, as we grow, we will need to appropriately scale our internal business systems and our services organization, including customer support, to serve our customer base, particularly as our customer demographics change over time. Managing these changes will require significant expenditures and allocation of valuable management resources. If we fail to successfully manage our growth and changes to our business, the quality of our products may suffer, which could negatively affect our brand and reputation and harm our ability to attract new customers and retain existing customers. As we continue to grow, we may need to implement more complex organizational management structures or adapt our corporate culture and work environments to changing circumstances, which could have an adverse impact on our corporate culture. Any failure to preserve our culture could harm our business, including our ability to retain and recruit personnel, innovate and operate effectively, and execute on our business strategy.
Previous wording
Further, we have contractual and legal obligations to notify relevant stakeholders of security breaches. Most jurisdictions have enacted laws requiring companies to notify individuals, regulatory authorities, and others of security incidents or data breaches involving certain types of data. For example, we are subject to an increasing number of reporting obligations in respect of material cybersecurity incidents. These reporting requirements have been proposed or implemented by a number of regulators in different jurisdictions, may vary in their scope and application, and could contain conflicting requirements. Certain of these rules and regulations may require us to report a cybersecurity incident before we have been able to fully assess its impact or remediate the underlying issue. Efforts to comply with such reporting requirements could divert management’s attention from our incident response and could potentially reveal system vulnerabilities to threat actors. Failure to timely report incidents under these rules could also result in monetary fines, sanctions, or subject us to other forms of liability. In addition, our agreements with certain customers may require us to notify them in the event of a security incident or data breach. Such mandatory disclosures are costly, could lead to negative publicity, may cause our customers to lose confidence in the effectiveness of our security measures, and require us to expend significant capital and other resources to respond to, or alleviate problems caused by, the actual or perceived security incident or data breach and otherwise comply with the multitude of foreign, federal, state, and local laws and regulations relating to the unauthorized access to, or use or disclosure of, personal information. Additionally, as a result of a breach or other security incident, we could be subject to demands, claims, and litigation by private parties and investigations, related actions, and penalties by regulatory authorities. Further, if we fail to detect or remediate a security breach in a timely manner, or a breach otherwise affects a large amount of Confidential Information, or if we suffer a cyberattack that impacts our ability to operate our platform, we may suffer damage to our reputation and our brand, and our business, financial condition, and results of operations may be materially adversely affected. Further, although we maintain insurance coverage, our insurance coverage may not be adequate for data security breaches, indemnification obligations, or other liabilities. In addition, we cannot be sure that our existing insurance coverage and coverage for errors and omissions will continue to be available on acceptable terms or that our insurers will not deny coverage as to any future claim. Our risks are likely to increase as we continue to expand our platform, grow our customer base, and process, store, and transmit increasingly large amounts of Confidential Information.
Current wording
Further, we have contractual and legal obligations to notify relevant stakeholders of security breaches. Most jurisdictions have enacted laws requiring companies to notify individuals, regulatory authorities, and others of security incidents or data breaches involving certain types of data. For example, we are subject to an increasing number of reporting obligations in respect of material cybersecurity incidents. These reporting requirements have been proposed or implemented by a number of regulators in different jurisdictions, may vary in their scope and application, and could contain conflicting requirements. Certain of these rules and regulations may require us to report a cybersecurity incident before we have been able to fully assess its impact or remediate the underlying issue. Efforts to comply with such reporting requirements could divert management’s attention from our incident response and could potentially reveal system vulnerabilities to threat actors. Failure to timely report incidents under these rules could also result in monetary fines, sanctions, or subject us to other forms of liability. In addition, our agreements with certain customers may require us to notify them in the event of a security incident or data breach. Such mandatory disclosures are costly, could lead to negative publicity, may cause our customers to lose confidence in the effectiveness of our security measures, and require us to expend significant capital and other resources to respond to, or alleviate problems caused by, the actual or perceived security incident or data breach and otherwise comply with the multitude of foreign, federal, state, and local laws and regulations relating to the unauthorized access to, or use or disclosure of, personal information. Additionally, as a result of a breach or other security incident, we could be subject to demands, claims, and litigation by private parties (including class actions) and investigations, related actions, and penalties by regulatory authorities. Further, if we fail to detect or remediate a security breach in a timely manner, or a breach otherwise affects a large amount of Confidential Information, or if we suffer a cyberattack that impacts our ability to operate our platform, we may suffer damage to our reputation and our brand, and our business, financial condition, and results of operations may be materially adversely affected. Further, although we maintain insurance coverage, our insurance coverage may not be adequate for data security breaches, indemnification obligations, or other liabilities. In addition, we cannot be sure that our existing insurance coverage and coverage for errors and omissions will continue to be available on acceptable terms or that our insurers will not deny coverage as to any future claim. Our risks are likely to increase as we continue to expand our platform, grow our customer base, and process, store, and transmit increasingly large amounts of Confidential Information.
Previous wording
Our Digital Analytics Platform is proprietary, and we rely on the expertise of members of our engineering, operations, product, and software development teams for its continued performance. It may become increasingly difficult and costly to maintain and improve the performance of our Digital Analytics Platform, especially during peak usage times and as our platform becomes more complex and our user traffic increases. To the extent that we do not effectively address capacity constraints, upgrade our systems as needed, and continually develop our technology and network architecture to accommodate actual and anticipated changes in technology, our business, financial condition, and results of operations may be materially adversely affected.
Current wording
Our AI Analytics Platform is proprietary, and we rely on the expertise of members of our engineering, operations, product, and software development teams for its continued performance. It may become increasingly difficult and costly to maintain and improve the performance of our AI Analytics Platform, especially during peak usage times and as our platform becomes more complex and our user traffic increases. To the extent that we do not effectively address capacity constraints, upgrade our systems as needed, and continually develop our technology and network architecture to accommodate actual and anticipated changes in technology, our business, financial condition, and results of operations may be materially adversely affected.
Previous wording
We depend and rely on third-party hosted cloud services and internet infrastructure in order to operate critical functions of our business. For example, our platform and internal tools use computing, storage capabilities, bandwidth, and other services provided by AWS. If these services become unavailable due to extended outages, interruptions, or because they are no longer available on commercially reasonable terms, our expenses could increase, our ability to manage our business could be interrupted, and our processes for managing sales of and delivering our Digital Analytics Platform could be impaired until we are able to identify, obtain, and implement equivalent services, if we are able to do so at all. Any of these circumstances could materially adversely affect our business, financial condition, and results of operations.
Current wording
We depend and rely on third-party hosted cloud services and internet infrastructure in order to operate critical functions of our business. For example, our platform and internal tools use computing, storage capabilities, bandwidth, and other services provided by AWS. If these services become unavailable due to extended outages, interruptions, or because they are no longer available on commercially reasonable terms, our expenses could increase, our ability to manage our business could be interrupted, and our processes for managing sales of and delivering our AI Analytics Platform could be impaired until we are able to identify, obtain, and implement equivalent services, if we are able to do so at all. Any of these circumstances could materially adversely affect our business, financial condition, and results of operations.
Previous wording
In using our Digital Analytics Platform, our customers depend on our product support team to resolve complex technical and operational issues. We may be unable to respond quickly enough to accommodate short-, medium-, and long-term increases in customer demand for product support. We also may be unable to modify the nature, scope, and delivery of our product support to compete with changes in product support services provided by our competitors. Increased customer demand for product support, without corresponding revenue, could increase costs and materially adversely affect our results of operations. Our sales are highly dependent on our business reputation and on positive recommendations from our existing customers. Any failure to maintain high-quality product support, or a market perception that we do not maintain high-quality product support, could materially adversely affect our reputation, our ability to sell our Digital Analytics Platform to our customers and prospective customers, and our business, financial condition, and results of operations.
Current wording
In using our AI Analytics Platform, our customers depend on our product support team to resolve complex technical and operational issues. We may be unable to respond quickly enough to accommodate short-, medium-, and long-term increases in customer demand for product support. We also may be unable to modify the nature, scope, and delivery of our product support to compete with changes in product support services provided by our competitors. Increased customer demand for product support, without corresponding revenue, could increase costs and materially adversely affect our results of operations. Our sales are highly dependent on our business reputation and on positive recommendations from our existing customers. Any failure to maintain high-quality product support, or a market perception that we do not maintain high-quality product support, could materially adversely affect our reputation, our ability to sell our AI Analytics Platform to our customers and prospective customers, and our business, financial condition, and results of operations.
Previous wording
Incorrect or improper implementation or use of our Digital Analytics Platform could result in customer dissatisfaction and materially adversely affect our business, financial condition, and results of operations.
Current wording
Incorrect or improper implementation or use of our AI Analytics Platform could result in customer dissatisfaction and materially adversely affect our business, financial condition, and results of operations.
Previous wording
We often assist our customers in implementing our Digital Analytics Platform (whether through us directly or through a third-party implementation partner), and they may need training in the proper use of our Digital Analytics Platform to maximize its potential and avoid inadequate performance. If we or our implementation partners fail to train customers on how to efficiently and effectively use our Digital Analytics Platform or if we fail to provide adequate product support to our customers, we may lose opportunities for additional subscriptions, customers may choose not to renew or expand the use of our Digital Analytics Platform, we may experience negative publicity or legal claims against us, and our reputation and brand may suffer. Any of these circumstances could materially adversely affect our business, financial condition, and results of operations.
Current wording
We often assist our customers in implementing our AI Analytics Platform (whether through us directly or through a third-party implementation partner), and they may need training in the proper use of our AI Analytics Platform to maximize its potential and avoid inadequate performance. If we or our implementation partners fail to train customers on how to efficiently and effectively use our AI Analytics Platform or if we fail to provide adequate product support to our customers, we may lose opportunities for additional subscriptions, customers may choose not to renew or expand the use of our AI Analytics Platform, we may experience negative publicity or legal claims against us, and our reputation and brand may suffer. Any of these circumstances could materially adversely affect our business, financial condition, and results of operations.
Previous wording
Our customers and prospective customers expect our Digital Analytics Platform to integrate with a variety of software platforms, and we need to continuously modify and enhance our platform to adapt to changes in software, browser, and database technologies. We have developed our platform to be able to integrate with third-party SaaS applications through the interaction of application programming interfaces (“APIs”). In general, we rely on the fact that the providers of such software systems continue to allow us access to their APIs to enable these custom integrations. We are subject to the standard terms and conditions of such providers, or other agreements we may have with them, which govern the distribution, operation, and fees of such software systems, and which may be subject to change by such providers. As a result of limits or prohibitions by other parties, unacceptable terms, technical difficulties, our failure to recognize demand, or for other reasons, we may not successfully build, deploy, or offer the integrations needed. If we fail to offer a variety of integrations or the integrations that our customers and prospective customers expect and demand, then our Digital Analytics Platform may become less marketable, less competitive, or obsolete, and our business, financial condition, results of operations, and growth prospects could be materially adversely affected.
Current wording
Our customers and prospective customers expect our AI Analytics Platform to integrate with a variety of software platforms, and we need to continuously modify and enhance our platform to adapt to changes in software, browser, and database technologies. We have developed our platform to be able to integrate with third-party SaaS applications through the interaction of application programming interfaces (“APIs”). In general, we rely on the fact that the providers of such software systems continue to allow us access to their APIs to enable these custom integrations. We are subject to the standard terms and conditions of such providers, or other agreements we may have with them, which govern the distribution, operation, and fees of such software systems, and which may be subject to change by such providers. As a result of limits or prohibitions by other parties, unacceptable terms, technical difficulties, our failure to recognize demand, or for other reasons, we may not successfully build, deploy, or offer the integrations needed. If we fail to offer a variety of integrations or the integrations that our customers and prospective customers expect and demand, then our AI Analytics Platform may become less marketable, less competitive, or obsolete, and our business, financial condition, results of operations, and growth prospects could be materially adversely affected.
Previous wording
We have limited experience with respect to determining the optimal prices for our Digital Analytics Platform and, as a result, we have in the past needed, and expect in the future that we will need, to change our pricing model from time to time. As the market for our Digital Analytics Platform matures, or as new competitors introduce new products or services that compete with ours, we may be unable to attract new customers at the same price or based on the same pricing models as we have used historically. Pricing decisions may also impact the mix of adoption among our subscription plans and negatively impact our overall revenue. Although we occasionally upsell within contract terms based on customer needs, substantially all of our customer contracts have a subscription period of one year or longer, for which we primarily bill annually in advance with no obligation to renew. As a result, potential changes in our pricing policies, or our rate of customer expansion or retention, may not be fully reflected in our results of operations until future periods. Moreover, larger organizations may demand price concessions. As a result, in the future we may be required to reduce our prices, which could materially adversely affect our business, financial condition, and results of operations.
Current wording
We have limited experience with respect to determining the optimal prices for our AI Analytics Platform and, as a result, we have in the past needed, and expect in the future that we will need, to change our pricing model from time to time. As the market for our AI Analytics Platform matures, or as new competitors introduce new products or services that compete with ours, we may be unable to attract new customers at the same price or based on the same pricing models as we have used historically. Pricing decisions may also impact the mix of adoption among our subscription plans and negatively impact our overall revenue. Although we occasionally upsell within contract terms based on customer needs, substantially all of our customer contracts have a subscription period of one year or longer, for which we primarily bill annually in advance with no obligation to renew. As a result, potential changes in our pricing policies, or our rate of customer expansion or retention, may not be fully reflected in our results of operations until future periods. Moreover, larger organizations may demand price concessions. As a result, in the future we may be required to reduce our prices, which could materially adversely affect our business, financial condition, and results of operations.
Previous wording
In order to increase our sales to new and existing customers, we must expand our sales and marketing operations, including our sales force and third-party channel partners, and continue to dedicate significant resources to inbound sales and marketing programs, both domestically and internationally. Our ability to increase our customer base and achieve broader market acceptance of our products will depend, in part, on our ability to effectively organize, focus, and train our sales and marketing personnel. If we are unable to increase adoption of our Digital Analytics Platform by new and existing customers, especially enterprise customers, our business, financial condition, and results of operations may be materially adversely affected.
Current wording
In order to increase our sales to new and existing customers, we must expand our sales and marketing operations, including our sales force and third-party channel partners, and continue to dedicate significant resources to inbound sales and marketing programs, both domestically and internationally. Our ability to increase our customer base and achieve broader market acceptance of our products will depend, in part, on our ability to effectively organize, focus, and train our sales and marketing personnel. If we are unable to increase adoption of our AI Analytics Platform by new and existing customers, especially enterprise customers, our business, financial condition, and results of operations may be materially adversely affected.
Previous wording
We employ a go-to-market business model whereby a portion of our revenue is generated by sales through our channel partners, such as independent software vendors and resellers, that further expand the reach of our direct sales force into additional geographies, sectors, and industries. In particular, we have entered, and intend to continue to enter, into strategic sales distributor and reseller relationships in certain international markets where we do not have a local presence. We provide certain of our channel partners with specific training and programs to assist them in selling access to our Digital Analytics Platform, but there can be no assurance that these steps will be effective. In addition, if our channel partners are unsuccessful in marketing and selling access to our Digital Analytics Platform, it would limit our expansion into certain geographies, sectors, and industries. If we are unable to develop and maintain effective sales incentive programs for our channel partners, we may not be able to incentivize these partners to sell access to our Digital Analytics Platform to customers.
Current wording
We employ a go-to-market business model whereby a portion of our revenue is generated by sales through our channel partners, such as independent software vendors and resellers, that further expand the reach of our direct sales force into additional geographies, sectors, and industries. In particular, we have entered, and intend to continue to enter, into strategic sales distributor and reseller relationships in certain international markets where we do not have a local presence. We provide certain of our channel partners with specific training and programs to assist them in selling access to our AI Analytics Platform, but there can be no assurance that these steps will be effective. In addition, if our channel partners are unsuccessful in marketing and selling access to our AI Analytics Platform, it would limit our expansion into certain geographies, sectors, and industries. If we are unable to develop and maintain effective sales incentive programs for our channel partners, we may not be able to incentivize these partners to sell access to our AI Analytics Platform to customers.
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Previous report — wording carried elsewhere
Any shift in our sales cycle may adversely affect our financial results. Factors that may influence the length and variability of our sales cycle include:
Previous report — wording carried elsewhere
In addition, our international subsidiaries maintain net assets denominated in currencies other than the functional operating currencies of these entities. Accordingly, changes in the value of foreign currencies relative to the U.S. dollar can affect our revenue and results of operations due to transactional and translational remeasurements. As a result of these foreign currency exchange rate fluctuations, it could be more difficult to detect underlying trends in our business and results of operations. To the extent that fluctuations in currency exchange rates cause our results of operations to differ from our expectations or the expectations of our investors, the trading price of our Class A common stock could be adversely affected.