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AI Statistics 2026: 120+ Data Points on Adoption, Spend, Agents & Jobs (July Update)

Topickz — Sat, 11 Jul 2026 07:23:47 +0000

Originally published on Topickz. This is original Topickz research.

Everyone has a take on AI in 2026. It is either eating every job or quietly failing inside most companies, and both camps have a tweet thread to prove it. The numbers below are the ones worth arguing from, pulled from the studies the arguments are supposedly based on.

We collected 120+ AI statistics for 2026 and cited every single one to its source, with the month it was published. No figure goes on this page unless we could trace it to the study, survey or dataset it came from. Where two credible sources disagree, we say so.

This is a living page. We refresh it as new research lands, so the figures reflect what is current, not what was true a year ago.

88% of organizations use AI in at least one business function, yet only 39% can attribute any measurable financial impact to it

McKinsey, The State of AI, November 2025

What's inside

Key takeaways
AI business adoption
Generative AI and consumer usage
AI at work and productivity
AI in SaaS and software products
AI spend and investment
AI ROI and business impact
AI agents and agentic AI
AI in marketing, sales and service
AI in HR and recruiting
AI risk, security and governance
Public attitudes to AI
AI, jobs and the workforce
Model, compute and capability trends

What this page is. A curated, cited roundup of third-party AI statistics published in 2025 and 2026. The Topickz research desk collected, checked and organized these figures. We did not run these studies ourselves, and we never present another firm's data as our own.

Sourcing bar. Every stat links to a source and carries a publication month. We prioritized primary sources: the study, survey or dataset that first reported the figure. Where the primary was paywalled or bot-blocked (Gartner and IBM both block automated access), we corroborated the number across multiple independent citations before including it.

What we dropped. Figures we could not trace to a real source were left out, even popular ones. A widely-repeated "1 billion ChatGPT monthly users" claim from mid-2026 could not be traced to a primary OpenAI statement, so it is not on this page. Single-vendor marketing surveys were excluded in favor of analyst and academic sources. Where two credible sources disagree, we show both.

Forecasts. Some figures below are projections (Gartner spend forecasts, the WEF 2030 jobs outlook, Epoch AI compute projections). We phrase these as forecasts in the sentence so you can tell measured data from a prediction.

Disclaimer. This is general market analysis, not advice on any specific vendor. Topickz may earn affiliate commissions from some tools we cover, and commissions never influence our data or analysis. See our editorial standards and affiliate disclosure.

Key takeaways

88% of organizations use AI in at least one business function, up from 78% a year earlier, yet only 39% see any measurable bottom-line impact and just 7% call it fully scaled. (McKinsey, November 2025)
95% of generative AI pilot programs fail to deliver rapid, measurable P&L impact, with only about 5% achieving fast revenue gains. (MIT NANDA, August 2025)
Buying beats building: enterprises purchasing AI tools jumped from 53% to 76% of use cases in a year, and bought deployments succeed roughly 3x more often than internal builds. (Menlo Ventures, December 2025)
Anthropic overtook OpenAI in enterprise model share, 40% to 27%, a reversal from OpenAI's 50%+ lead in 2023. (Menlo Ventures, December 2025)
The top 1% of US businesses spend roughly 680x more per employee on AI than the median firm, $7,450 versus $11.38 a month. (Ramp, June 2026)
AI was cited in 54,836 of the 1.2 million US job cuts announced in 2025, about 4.5% of the total, smaller than the headlines suggest but growing fast. (Challenger, Gray & Christmas, January 2026)
97% of organizations breached through an AI system lacked proper AI access controls, and 63% have no AI governance policy at all. (IBM, 2025)
50% of Americans are more concerned than excited about AI, up from 37% in 2021, even as on-the-job AI use keeps rising. (Pew Research, September 2025)
92% of SaaS companies have shipped or roadmapped AI features, and every company founded in 2025 in the survey called AI core to its product. (High Alpha, 2025)
Model capability is outrunning safety infrastructure: SWE-bench coding scores went from 60% to near 100% in a year, while the Foundation Model Transparency Index fell from 58 to 40. (Stanford HAI, 2026)

AI business adoption

88% of organizations report regular AI use in at least one business function in 2025, up from 78% a year earlier. (McKinsey, November 2025)
Only 39% of organizations can attribute any measurable bottom-line impact to AI, despite near-universal adoption. (McKinsey, November 2025)
Just 7% of organizations say AI is fully scaled across the enterprise. (McKinsey, November 2025)
6% of organizations qualify as AI high performers, where AI drives 5% or more of EBIT. (McKinsey, November 2025)
Over two-thirds of organizations now use AI in more than one business function, across a survey of 1,993 participants in 105 countries. (McKinsey, November 2025)
Generative AI is now integrated into at least one business function at 70% of organizations. (Stanford HAI, 2026)
4 in 5 university students now use generative AI. (Stanford HAI, 2026)
95% of generative AI pilot programs fail to deliver rapid, measurable P&L impact, with only about 5% achieving rapid revenue acceleration, across 300 analyzed deployments. (MIT NANDA, August 2025)
Buying AI from vendors succeeds in about 67% of deployments, versus internal builds, which succeed at roughly one-third that rate. (MIT NANDA, August 2025)
75% of business leaders rank AI among their top three strategic priorities, but only 25% say their organization is realizing significant value from it. (BCG, January 2025)
Only 22% of companies have advanced beyond proof-of-concept with AI, and just 4% are creating substantial financial value. (BCG, January 2025)

Generative AI and consumer usage

Generative AI reached 53% adoption within three years of ChatGPT's launch, the fastest adoption curve the AI Index has tracked. (Stanford HAI, 2026)
Generative AI adoption varies sharply by country: 64% in the UAE and 61% in Singapore, versus 28.3% in the United States. (Stanford HAI, 2026)
US consumer surplus from generative AI reached an estimated $172 billion a year by early 2026, up 54% from $112 billion the year before. (Stanford HAI, 2026)
ChatGPT reached 900 million weekly active users, announced February 27, 2026, alongside 50 million paying subscribers. (TechCrunch, February 2026)
ChatGPT's weekly active users grew from 200 million in August 2024 to 900 million in February 2026, roughly quadrupling in 18 months. (TechCrunch, February 2026)
Users send more than 2.5 billion ChatGPT messages a day globally, over 330 million of them from the US. (Demandsage, 2026)
49% of jobs have seen AI used for at least a quarter of their tasks, combining across the Anthropic Economic Index reports, up from 36% in the first edition. (Anthropic Economic Index, January 2026)
Computer and mathematical work accounts for 37.2% of Claude conversations, the single largest occupational category. (Anthropic Economic Index, 2025)
57% of Claude usage involves augmentation (AI collaborating with a human), versus 43% full automation. (Anthropic Economic Index, 2025)

AI at work and productivity

80% of the global workforce reports lacking the time or energy to meet productivity demands, while 53% of leaders say more output is needed. (Microsoft, 2025)
82% of leaders plan to use digital labor (AI agents) to expand workforce capacity within the next 12 to 18 months. (Microsoft, 2025)
Developers using GitHub Copilot completed a coding task 55% faster, 1 hour 11 minutes versus 2 hours 41 minutes, in a controlled study of 95 developers. (GitHub, 2024)
Copilot users had a 78% task completion rate versus 70% without it in the same study. (GitHub, 2024)
73% of developers using Copilot reported staying in flow, and 87% said it preserved mental effort on repetitive tasks. (GitHub, 2024)
Teams using basic AI coding assistants see only 10 to 15% productivity boosts, even though two-thirds of software firms have rolled the tools out. (Bain & Company, 2025)
Firms that pair AI with end-to-end lifecycle change report 25 to 30% productivity boosts, versus about 10% from code assistants alone. (Bain & Company, 2025)
AI in daily operations delivers 10 to 20% productivity gains, and restructuring workflows around AI can improve efficiency by 30 to 50%. (BCG, January 2025)
AI future-built companies achieve 5x the revenue increases and 3x the cost reductions of other companies from the same AI investment. (BCG, January 2025)
60% of workers are now equipped with employer-sanctioned AI tools, up from fewer than 40% a year earlier. (Deloitte, 2026)

AI in SaaS and software products

Enterprise AI investment hit $37 billion in 2025, triple the $11.5 billion of 2024 and up from $1.7 billion in 2023, the fastest category expansion in enterprise software history. (Menlo Ventures, December 2025)
Enterprise AI now captures 6% of the global SaaS market. (Menlo Ventures, December 2025)
Application-layer AI spend hit $19 billion (51% of the total) and infrastructure-layer spend hit $18 billion (49%). (Menlo Ventures, December 2025)
76% of enterprise AI use cases are purchased rather than built, up from 53% a year earlier. (Menlo Ventures, December 2025)
AI software deals convert to production at 47%, roughly double the 25% conversion rate of traditional SaaS deals. (Menlo Ventures, December 2025)
92% of SaaS companies have launched AI features or have them on the near-term roadmap, and every company founded in 2025 in the survey called AI core to its product. (High Alpha, 2025)
Gartner forecasts 40% of enterprise applications will feature task-specific AI agents by 2026, up from less than 5% in 2025. (Gartner, August 2025)
Gartner projects $234 billion in enterprise application software spend is at risk from agentic AI by 2030, roughly 20% of enterprise app SaaS spend. (Gartner, July 2026)

AI spend and investment

Worldwide AI spending is forecast to reach $2.59 trillion in 2026, up 47% year over year. (Gartner, May 2026)
AI infrastructure will account for over 45% of that 2026 AI spend, the single largest segment. (Gartner, May 2026)
AI now accounts for roughly 41% of all worldwide IT spending in 2026, up from about 32% in 2025. (Gartner, May 2026)
Global corporate AI investment more than doubled in 2025, with generative AI investment alone growing more than 200% and capturing nearly half of all private AI funding. (Stanford HAI, 2026)
The United States committed 23 times more private AI capital than China in 2025. (Stanford HAI, 2026)
Newly funded AI companies increased 71% year over year, and billion-dollar AI funding events nearly doubled in 2025. (Stanford HAI, 2026)
The top 1% of US businesses spend $7,450 per employee per month on AI, while the median business spends just $11.38, a roughly 680-fold gap. (Ramp, June 2026)
The top 10% of firms by AI spend pay $611 per employee per month, versus $11.38 for the median firm. (Ramp, June 2026)
Foundation-model share among enterprises has flipped: Anthropic 40% (up from 12% in 2023), OpenAI 27% (down from 50%), Google 21% (up from 7%). (Menlo Ventures, December 2025)

AI ROI and business impact

AI agents already account for about 17% of total AI value created in 2025, which BCG expects to rise to 29% by 2028. (BCG, January 2025)
Around 70% of AI value in 2025 comes from core functions: R&D, sales, marketing, production, supply chain and pricing. (BCG, January 2025)
34% of companies report using AI to deeply transform their business, while 37% use it only at a surface level. (Deloitte, 2026)
25% of leaders report AI has had a transformative effect on their organization, double the prior year's share. (Deloitte, 2026)
66% of software firms using generative AI report productivity and efficiency gains, though only 34% are truly reimagining the business. (Deloitte, 2026)
25% of organizations have moved 40% or more of their AI pilots into production, and 54% expect to within three to six months. (Deloitte, 2026)
The average cost of a data breach fell to $4.44 million globally in 2025, down 9%, helped by faster AI-assisted containment, though US breaches still average $10.22 million. (IBM, 2025)
Organizations using AI extensively in security cut breach lifecycles by 80 days and saved nearly $1.9 million on average. (IBM, 2025)

AI agents and agentic AI

62% of organizations are at least experimenting with AI agents, and 23% report scaling agentic AI somewhere in the enterprise. (McKinsey, November 2025)
Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027, citing costs, unclear value and weak risk controls. (Gartner, June 2025)
Only about 130 of the thousands of self-described agentic AI vendors offer genuine agentic capability, the rest largely rebranded chatbots or RPA ("agent washing"). (Gartner, June 2025)
Only 19% of organizations had made significant investments in agentic AI, with 42% conservative, 8% none and 31% still undecided. (Gartner, June 2025)
85% of companies expect to customize AI agents to their needs, but only 21% have a mature governance model for autonomous deployment. (Deloitte, 2026)
Only 16% of enterprise and 27% of startup AI deployments qualify as true agents doing autonomous multi-step work, versus copilots and assistants. (Menlo Ventures, December 2025)
Agent-category enterprise spend hit $750 million in 2025, a 5.3x jump, though still far below copilot spend of $7.2 billion. (Menlo Ventures, December 2025)
Gartner predicts agentic AI will autonomously resolve 80% of common customer service issues by 2029, cutting operational costs by roughly 30%. (Gartner, March 2025)
Real agent deployment remains in the single digits across nearly all business functions, despite the hype. (Stanford HAI, 2026)

AI in marketing, sales and service

91% of marketing leaders say their employees use AI to assist with their jobs, across 1,000+ marketing professionals surveyed. (HubSpot, 2025)
92% of marketers say AI has already changed how they do their jobs. (HubSpot, 2025)
Top AI marketing use cases: content creation (35%), data analysis (30%), workflow automation (20%), AI-powered research (15%). (HubSpot, 2025)
66% of marketing organizations are building internal AI tools for their teams rather than relying only on off-the-shelf tools. (HubSpot, 2025)
Data-privacy concerns stopped 42% of marketing teams from adopting new AI tools, while 35% say there are too many overlapping AI tools that don't connect. (HubSpot, 2025)
AI jumped from the #10 to the #2 priority for customer service leaders in a single year. (Salesforce, 2025)
Salesforce projects AI will resolve 50% of customer service cases by 2027, up from 30% in 2025. (Salesforce, 2025)
Service pros using AI agents spend 20% less time on routine cases, freeing up roughly 4 hours a week. (Salesforce, 2025)
83% of sales teams using AI saw revenue growth in the past year, versus 66% of teams without AI. (Salesforce, 2025)
Only 20% of customer service leaders had actually reduced agent staffing because of AI, despite widespread expectation of cuts. (Gartner, February 2026)
Gartner predicts half of companies that cut service staff due to AI will rehire by 2027. (Gartner, February 2026)
64% of customers say they would prefer companies not use AI for service, citing trouble reaching a human (60%) and distrust of AI answers (42%). (Gartner, July 2024)

AI in HR and recruiting

43% of organizations now use AI to support HR tasks, up from 26% the prior year. (SHRM, 2025)
HR AI adoption varies by sector: 58% of publicly traded for-profits down to 19% of federal government. (SHRM, 2025)
Within HR, AI is most used in HR technology (42%), recruiting (40%) and learning and development (39%). (SHRM, 2025)
51% of organizations use AI to support recruiting, most often for writing job descriptions (66%), screening resumes (44%) and automating candidate searches (32%). (SHRM, 2025)
89% of HR pros whose org uses AI for recruiting say it saves time, though only 24% say it improved their ability to identify top candidates. (SHRM, 2025)
About 23.2 million US jobs (15.1% of employment) are highly automatable, but only about 9.2 million (6%) are both highly automatable and lack barriers to actual displacement. (SHRM, October 2025)
71% of L&D professionals are exploring or integrating AI into their own work, and 49% report a growing AI-driven skills crisis. (LinkedIn Learning, 2025)

AI risk, security and governance

97% of organizations that suffered an AI-related security incident lacked proper AI access controls. (IBM, 2025)
63% of surveyed organizations have no AI governance policy to manage AI use or prevent shadow AI. (IBM, 2025)
High shadow-AI usage adds an average of $670,000 to a breach, pushing shadow-AI-linked breaches to $4.63 million. (IBM, 2025)
13% of organizations reported a breach of an AI model or AI application. (IBM, July 2025)
Documented AI incidents rose to 362 in 2025, up from 233 in 2024. (Stanford HAI, 2026)
The Foundation Model Transparency Index average fell to 40 in 2026, down from 58 the prior year, even as models grew more capable. (Stanford HAI, 2026)
Only 21% of companies have a mature governance model for autonomous AI agent deployment. (Deloitte, 2026)

Public attitudes to AI

50% of Americans are more concerned than excited about AI in daily life, up from 37% in 2021, while only 10% are more excited than concerned. (Pew Research, September 2025)
57% of Americans rate the societal risks of AI as high, versus 25% who rate the benefits as high. (Pew Research, September 2025)
53% of Americans believe AI will worsen people's ability to think creatively; only 16% think it will improve it. (Pew Research, September 2025)
57% of Americans want more control over how AI is used in their own lives. (Pew Research, September 2025)
The share of US workers using AI on the job rose from 16% in 2024 to 21% in 2025, yet 65% still say they don't use AI much or at all at work. (Pew Research, September 2025)
95% of US adults have heard at least a little about AI, and the share who've heard "a lot" rose from 26% in 2022 to 47%. (Pew Research, September 2025)
Globally, 52% of people say AI products make them excited while 53% say the same products make them nervous, across 30 countries. (Ipsos, 2025)
45% of Gen Z and 39% of Millennials globally think AI will take their job within five years. (Ipsos, 2025)
Global optimism about AI's benefits rose to 59%, up from 52% the prior year. (Stanford HAI, 2026)

AI, jobs and the workforce

AI was cited as the reason for 54,836 announced US layoffs in 2025, and 71,825 total since employers began naming AI as a distinct reason in 2023. (Challenger, Gray & Christmas, January 2026)
US employer job-cut announcements hit 1,206,374 in 2025, up 58% from 2024 and the highest annual total since 2020. (Challenger, Gray & Christmas, January 2026)
Technology-sector job cuts reached 154,445 in 2025 as companies restructured around AI. (Challenger, Gray & Christmas, January 2026)
By April 2026, AI-cited job cuts reached 21,490 in a single month, having led all cited reasons in March 2026. (Challenger, Gray & Christmas, 2026)
A median of 17% of organizations report workforce declines from AI in the past year, and a median of 30% expect a decrease in the next year. (McKinsey, November 2025)
The WEF projects AI-related disruption will touch 22% of jobs by 2030, with 170 million new roles created and 92 million displaced, a net gain of 78 million. (World Economic Forum, January 2025)
AI and big data top the WEF's list of fastest-growing skills employers want by 2030, with 59% of the workforce needing retraining. (World Economic Forum, 2025)

Model, compute and capability trends

AI coding performance on SWE-bench Verified rose from 60% to near 100% in a single year. (Stanford HAI, 2026)
On graduate-level GPQA, model accuracy passed the 81.2% expert-human baseline to reach 93% in 2025. (Stanford HAI, 2026)
On OSWorld computer-use tasks, agent accuracy rose from roughly 12% to 66.3% in about a year, closing to within 6 points of human performance. (Stanford HAI, 2026)
Physical robotics remains the clearest weak spot: robots succeed in only 12% of real household tasks tested. (Stanford HAI, 2026)
Training compute for frontier AI models grows roughly 4 to 5x per year, doubling about every 5.2 months. (Epoch AI, 2025)
The cost of training frontier models has grown 2 to 3x per year for eight years, and Epoch AI projects the largest runs will top $1 billion by 2027. (Epoch AI, 2025)
Compute purchasable per dollar has improved by roughly 40% per year across 20-plus AI accelerators from 2012 to 2025. (Epoch AI, 2025)
AI data center power capacity rose to 29.6 gigawatts globally, comparable to New York state's peak electricity demand. (Stanford HAI, 2026)

What these AI statistics mean for 2026

The single number to sit with is the gap between 88% and 39%. Nearly every company now uses AI, but fewer than four in ten can point to a dollar it moved. That is not a failure of the technology so much as a failure of deployment, and the data backs that reading: buying tools beats building them, restructuring a workflow beats bolting AI onto it, and the companies treating AI as a transformation rather than a feature are pulling away fast.

For anyone selling or buying software, three shifts matter most. AI is now table stakes, not a differentiator, since 92% of SaaS companies already ship or roadmap it. The model layer is consolidating around new leaders, with Anthropic overtaking OpenAI in enterprise share. And spend is splitting into a small group paying hundreds of dollars per employee and a long tail paying almost nothing, which is where most buyers still sit.

The workforce story is quieter than the headlines. AI was named in about 4.5% of 2025 layoffs, real and rising, but a fraction of the total, and public sentiment stays net-skeptical even as everyday use climbs. The honest summary of AI in 2026 is that capability is racing ahead while measurable value, governance and trust are all still catching up.

We keep this page current. If a figure here is out of date or you have a study we should add, tell us through our editorial standards page.

B2B SaaS Buyer-Behavior Statistics 2026: 100+ Findings for SaaS Marketers

Topickz — Sat, 27 Jun 2026 18:27:47 +0000

Originally published on Topickz. This is original Topickz research.

If you sell B2B SaaS, the hard truth is that buyers no longer trust your star rating, your "why we're the best" page, or your review count. They cross-check you against a tested shortlist before they ever talk to sales.

Topickz analyzed 816 B2B SaaS tools across 10 categories, the ratings, the review themes, and the pricing, and pulled out what actually drives a buyer's shortlist. What follows is more than 100 statistics on how buyers judge vendors, written for the people who have to win that buyer.

This report shows you three things:

how buyers read your ratings (and why they can no longer tell you apart)
what buyers complain about most, the issues that lose you the deal
what buyers reward, the traits worth leading with

61% of B2B SaaS tools cluster between 4.3 and 4.6 stars, so buyers cannot differentiate vendors on rating

Topickz analysis of G2 and Capterra ratings across 816 tools, 2026

What we measured. The Topickz review desk analyzed 816 B2B SaaS tool entries across 10 categories between May and June 2026: external ratings, review counts, the pros and cons we wrote for each, and published pricing for 466 of them.

Sources. Star ratings and review counts are from G2 and Capterra, aggregated by Topickz, not generated by us. Pricing is from vendor pricing pages, cataloged by Topickz. Complaint and praise themes are text-mined from the pros and cons the Topickz desk wrote for each tool.

Original vs attributed. The patterns, correlations and review synthesis are original Topickz research. The underlying ratings and prices are third-party data, attributed to their sources, never claimed as ours.

Data quality. Per-category figures with fewer than 15 tools are directional. Correlations use Pearson's r. The dataset and the script that builds this page are re-run as the catalog grows.

Disclaimer. This report is general market analysis, not advice on any specific vendor. Topickz may earn affiliate commissions from some tools we cover, and commissions never influence our rankings, data or analysis. For our independence and corrections policy, see our editorial standards and affiliate disclosure.

Key statistics

61% of B2B SaaS tools cluster between 4.3 and 4.6 stars on G2 and Capterra, so buyers cannot tell vendors apart on rating, per Topickz's 2026 analysis of 744 tools.
The average B2B SaaS tool rates 4.52 stars (Topickz analysis of G2/Capterra), inflated to the point where the score no longer signals quality.
Star rating and review volume barely correlate (r = -0.03), so piling up more reviews will not lift your score, Topickz found.
Price is the #1 buyer complaint, cited for 62% of the 816 tools Topickz tested, making the pricing page a vendor's highest-leverage fix.
26% of tools hide their pricing, but 0% of category-leading sales tools do, per Topickz, a signal of what buyers now expect.
64% of tools offer a genuine free tier, so in most categories buyers expect to try before they buy, Topickz found.

How buyers judge you: the ratings reality

61% of B2B SaaS tools sit between 4.3 and 4.6 stars, a 0.3-point band buyers cannot read (Topickz, 2026)
The average B2B SaaS tool rates 4.52 stars on G2 and Capterra (Topickz, 2026)
Star rating and review volume barely correlate (r = -0.03), so more reviews will not raise your score (Topickz, 2026)
The median tool carries 568 reviews, the bar for looking established (Topickz, 2026)
Collaboration tools average 4.54 stars on G2/Capterra (Topickz, 2026)
Customer success tools average 4.48 stars on G2/Capterra (Topickz, 2026)
Data and analytics tools average 4.37 stars on G2/Capterra (Topickz, 2026)
Developer tools average 4.52 stars on G2/Capterra (Topickz, 2026)
Finance tools average 4.39 stars on G2/Capterra (Topickz, 2026)
HR and recruiting tools average 4.53 stars on G2/Capterra (Topickz, 2026)
Marketing tools average 4.58 stars on G2/Capterra (Topickz, 2026)
Operations tools average 4.52 stars on G2/Capterra (Topickz, 2026)
Sales tools average 4.5 stars on G2/Capterra (Topickz, 2026)
Security tools average 4.56 stars on G2/Capterra (Topickz, 2026)
Collaboration tools carry a median 746 reviews (Topickz, 2026)
Customer success tools carry a median 962 reviews (Topickz, 2026)
Data and analytics tools carry a median 862 reviews (Topickz, 2026)
Developer tools carry a median 199 reviews (Topickz, 2026)
Finance tools carry a median 974 reviews (Topickz, 2026)
HR and recruiting tools carry a median 624 reviews (Topickz, 2026)
Marketing tools carry a median 337 reviews (Topickz, 2026)
Operations tools carry a median 312 reviews (Topickz, 2026)
Sales tools carry a median 1165 reviews (Topickz, 2026)
Security tools carry a median 642 reviews (Topickz, 2026)

What buyers complain about: your conversion killers

62% of tools draw buyer complaints about price (Topickz, 2026)
31% of tools draw buyer complaints about reporting (Topickz, 2026)
23% of tools draw buyer complaints about setup and onboarding (Topickz, 2026)
22% of tools draw buyer complaints about a steep learning curve (Topickz, 2026)
21% of tools draw buyer complaints about integrations (Topickz, 2026)
In collaboration tools, the #1 buyer complaint is integrations (48% of tools) (Topickz, 2026)
In customer success tools, the #1 buyer complaint is price (68% of tools) (Topickz, 2026)
In data and analytics tools, the #1 buyer complaint is price (60% of tools) (Topickz, 2026)
In developer tools, the #1 buyer complaint is price (53% of tools) (Topickz, 2026)
In finance tools, the #1 buyer complaint is price (46% of tools) (Topickz, 2026)
In HR and recruiting tools, the #1 buyer complaint is price (74% of tools) (Topickz, 2026)
In marketing tools, the #1 buyer complaint is price (52% of tools) (Topickz, 2026)
In operations tools, the #1 buyer complaint is price (74% of tools) (Topickz, 2026)
In sales tools, the #1 buyer complaint is price (56% of tools) (Topickz, 2026)
In security tools, the #1 buyer complaint is price (56% of tools) (Topickz, 2026)

What buyers reward: the traits worth leading with

33% of tools win buyer praise for integrations (Topickz, 2026)
33% of tools win buyer praise for price (Topickz, 2026)
27% of tools win buyer praise for reporting (Topickz, 2026)
25% of tools win buyer praise for automation (Topickz, 2026)
17% of tools win buyer praise for setup and onboarding (Topickz, 2026)
In collaboration tools, buyers most praise price (37% of tools) (Topickz, 2026)
In customer success tools, buyers most praise support (46% of tools) (Topickz, 2026)
In data and analytics tools, buyers most praise reporting (67% of tools) (Topickz, 2026)
In developer tools, buyers most praise price (37% of tools) (Topickz, 2026)
In finance tools, buyers most praise integrations (50% of tools) (Topickz, 2026)
In HR and recruiting tools, buyers most praise reporting (30% of tools) (Topickz, 2026)
In marketing tools, buyers most praise price (33% of tools) (Topickz, 2026)
In operations tools, buyers most praise integrations (57% of tools) (Topickz, 2026)
In sales tools, buyers most praise price (32% of tools) (Topickz, 2026)
In security tools, buyers most praise price (44% of tools) (Topickz, 2026)

Pricing-transparency norms by category

26% of B2B SaaS tools hide their price behind a sales call (Topickz, 2026)
19% of collaboration tools hide their pricing (Topickz, 2026)
31% of customer success tools hide their pricing (Topickz, 2026)
18% of data and analytics tools hide their pricing (Topickz, 2026)
42% of developer tools hide their pricing (Topickz, 2026)
35% of finance tools hide their pricing (Topickz, 2026)
37% of HR and recruiting tools hide their pricing (Topickz, 2026)
20% of marketing tools hide their pricing (Topickz, 2026)
16% of operations tools hide their pricing (Topickz, 2026)
0% of sales tools hide their pricing (Topickz, 2026)
20% of security tools hide their pricing (Topickz, 2026)

How your pricing reads to buyers

The median tool's top tier costs 200% more than its entry tier, the renewal shock buyers cite most (Topickz, 2026)
The median tool sells 4 pricing tiers, and buyers read more tiers as more upsell (Topickz, 2026)
The median entry price across published SaaS pricing is $20/mo, the number buyers anchor to (Topickz, 2026)
Collaboration tools jump 98% from entry to top tier (median) (Topickz, 2026)
Customer success tools jump 247% from entry to top tier (median) (Topickz, 2026)
Data and analytics tools jump 241% from entry to top tier (median) (Topickz, 2026)
Developer tools jump 400% from entry to top tier (median) (Topickz, 2026)
Finance tools jump 280% from entry to top tier (median) (Topickz, 2026)
HR and recruiting tools jump 150% from entry to top tier (median) (Topickz, 2026)
Marketing tools jump 233% from entry to top tier (median) (Topickz, 2026)
Operations tools jump 150% from entry to top tier (median) (Topickz, 2026)
Sales tools jump 201% from entry to top tier (median) (Topickz, 2026)
Security tools jump 167% from entry to top tier (median) (Topickz, 2026)
Collaboration tools start at a median $10/mo (Topickz, 2026)
Customer success tools start at a median $22/mo (Topickz, 2026)
Data and analytics tools start at a median $2750/mo (Topickz, 2026)
Developer tools start at a median $20/mo (Topickz, 2026)
Finance tools start at a median $24/mo (Topickz, 2026)
HR and recruiting tools start at a median $23/mo (Topickz, 2026)
Marketing tools start at a median $50/mo (Topickz, 2026)
Operations tools start at a median $10/mo (Topickz, 2026)
Sales tools start at a median $39/mo (Topickz, 2026)
Security tools start at a median $7/mo (Topickz, 2026)

Free-tier expectations by category

64% of B2B SaaS tools offer a genuine free tier (Topickz, 2026)
85% of collaboration tools offer a free tier (Topickz, 2026)
59% of customer success tools offer a free tier (Topickz, 2026)
62% of data and analytics tools offer a free tier (Topickz, 2026)
89% of developer tools offer a free tier (Topickz, 2026)
69% of finance tools offer a free tier (Topickz, 2026)
34% of HR and recruiting tools offer a free tier (Topickz, 2026)
76% of marketing tools offer a free tier (Topickz, 2026)
87% of operations tools offer a free tier (Topickz, 2026)
79% of sales tools offer a free tier (Topickz, 2026)
36% of security tools offer a free tier (Topickz, 2026)

Cite this report

This is original Topickz research, free to reference and republish with a link back to this page. Suggested credit: "Topickz B2B SaaS Buyer Behavior Report 2026 (topickz.com/research/b2b-saas-buyer-behavior-statistics-2026/)."

The summary card is free to embed, and it carries the source link so the credit comes built in.

<a href="https://topickz.com/research/b2b-saas-buyer-behavior-statistics-2026/">
  <img src="https://topickz.com/images/research/b2b-saas-buyer-behavior-card-2026.png"
       alt="Topickz B2B SaaS Buyer Behavior Report 2026: 61% of tools cluster between 4.3 and 4.6 stars" width="600">
</a>
<p>Source: <a href="https://topickz.com/research/b2b-saas-buyer-behavior-statistics-2026/">Topickz B2B SaaS Buyer Behavior Report 2026</a></p>

How AI Engines Decide Which B2B SaaS to Recommend (and a Free Tool to Score Yours)

Topickz — Sat, 27 Jun 2026 13:21:15 +0000

Your buyers ask an LLM for a shortlist before they reach your site. So the question stopped being "do we rank on Google" and became "does ChatGPT put us on the list." Those are not the same game.

We looked at how ChatGPT, Claude, Gemini, Google AI Overviews and Perplexity actually source what they recommend, and the pattern is consistent: they reward consensus across the third-party sources they already trust, and they reward pages they can parse and verify. Marketing you fully control barely moves it.

What the engines are really doing

Every engine is solving three problems at once: can I parse this, can I verify it, can I trust it.

Parsing is structure. Clean title, one H1, real sections, and schema markup that spells out what the page is. Verification is evidence. Original numbers, a visible date, a named author. Trust is the rest. HTTPS, a canonical tag, and enough independent sources saying the same thing about you.

The part teams underrate is consensus. An engine is far more comfortable naming you if G2, a Reddit thread, an editorial review and a listicle all line up. One brand-owned page making a claim is weak. Four independent sources agreeing is strong.

Two numbers worth internalizing

From our analysis of 816 B2B SaaS tools:

61% sit inside a single 0.3-star band, 4.3 to 4.6. Your rating will not separate you, so stop treating it as the differentiator.
Pages with at least 3 original data points get cited about 4x more often in AI answers (2026 industry analyses). Original data is the cheapest citation lever most teams ignore.

The five pillars we score

Foundation. Can the engines find and verify you at all.
Content. Are your pages citable: schema, structure, original data, freshness.
Consensus. Do independent third parties agree on you.
Per-engine tuning. The specific tell of each model.
Measurement. The loop that keeps you visible as the engines shift.

Score yourself

We turned the framework into a free scorecard: 22 checks, a grade out of 100, and your three highest-leverage fixes. No signup, runs in your browser, takes about three minutes.

Score your whole brand: https://topickz.com/research/ai-recommendation-scorecard/
Check a single page's citability: https://topickz.com/research/ai-readiness-checker/
The full playbook, engine by engine: https://topickz.com/research/how-to-get-your-brand-recommended-by-ai/

The SaaS Pricing Cliff Report 2026

Topickz — Sat, 20 Jun 2026 07:33:18 +0000

Originally published on Topickz. This is original Topickz research.

Most SaaS pricing pages are designed to be read in one direction: down to the cheapest number, then a fast click to "start free." The number you remember is almost never the number you pay.

We wanted to put a figure on that gap. So we pulled the published pricing for every tool across the Topickz review desk, 466 products in 10 categories, and measured two things: how many vendors will even show you a price, and how far the advertised entry sits below the tier a real team actually lands on.

The short version: more than a quarter of B2B SaaS tools won't quote a price until you book a call, and for the ones that do publish, the next tier up costs roughly double.

26% of B2B SaaS tools (121 of 466) hide pricing behind 'contact sales'

Topickz Pricing Cliff Report, 466 tools across 10 categories, June 2026

What we measured

This is not a survey. We did not ask vendors how they price. We read what they publish, on the public pricing page, the way a buyer would, and recorded it.

For each of the 466 tools we captured the advertised entry price (the headline number on the pricing page) and the full published tier ladder where one exists. Then we flagged every tool that shows no number at all, the "contact sales" and "request a quote" crowd.

Figures were pulled from vendor pricing pages and cross-checked against our existing category reviews, all dated within the last 30 days. Our methodology explains how the review desk verifies pricing.

One honesty note up front. An early cut of this analysis compared each tool's entry price to its most expensive enterprise tier, and the numbers were nonsense, because it was stacking per-user prices against flat enterprise contracts.

Every figure below compares like units only (per-user against per-user, flat against flat) and measures the jump to the next tier up, not the top of the ladder.

The transparency split

A clean public price is not the norm you might assume it is. Of 466 tools, 345 show a real number and 121 do not. That is 26% of the market asking you to start a sales conversation before you can do basic budgeting.

The pattern is not random. It tracks almost perfectly with who the buyer is. Tools sold to individual practitioners and small teams publish prices, because the buyer expects to swipe a card. Tools sold to IT, security, and finance departments hide them, because the buyer expects a negotiation.

The categories that hide the ball

Developer tools are the worst offenders. 42% of the dev and infrastructure tools we checked are quote-only, the highest of any category. Usage-based and seat-based models get bundled into "let's talk about your scale," and the real bill only shows up after a sales call.

HR and recruiting software is close behind at 37%, and finance tools sit at 35%. These are the three categories where a buyer is least likely to find a straight answer on the pricing page. It is not a coincidence that all three sell into departments with procurement teams and annual budget cycles.

Sales software is the outlier in the other direction. Every sales tool we checked, all 39 of them, publishes a price. Operations (84% numeric) and data analytics (82%) are close behind. When the buyer is a line manager with a credit card, the price is right there on the page.

The pricing cliff

Showing a price is only half the trick. The other half is which price you show. The advertised entry tier is usually a stripped-down plan that most teams outgrow within the first month, and the jump to the next tier is steep.

For tools that publish per-user pricing, the next tier up costs a median of 88% more than the advertised entry, and the average jump is 118%. For flat-fee tools the cliff is even sharper: a median 100% increase, average 247%. The number on the page is real. It is just not the number for the plan you need.

Here is the cliff in tools you already know:

Tool	Advertised entry	Next tier up	Jump
HubSpot Sales Hub	$20/user/mo	$100/user/mo	+400%
Freshsales	$9/user/mo	$39/user/mo	+333%
Salesforce Sales Cloud	$25/user/mo	$100/user/mo	+300%
GitLab CI/CD	$29/user/mo	$99/user/mo	+241%
Microsoft Project	$10/user/mo	$30/user/mo	+200%
Freshdesk	$19/user/mo	$55/user/mo	+190%
Tableau	$15/user/mo	$42/user/mo	+180%
Intercom	$39/user/mo	$99/user/mo	+154%

These are not enterprise contracts. They are the second rung on the ladder, the one a normal growing team hits the moment it needs reporting, automation, or more than a handful of seats.

Why the gap exists

None of this is an accident, and most of it is not even dishonest. It is the land-and-expand model working as designed. Get the lowest possible number in front of the buyer, win the signup, then let the team grow into the features that live one tier up.

The trouble is that the advertised price sets the buyer's mental anchor, and the anchor is wrong. A team that budgets around the $20 plan and lands on the $100 plan is not getting scammed. It is getting expanded, exactly the way the pricing page was built to expand it.

The quote-only tools play a different version of the same game. By withholding the number, they keep the anchor out of your head entirely, so the first figure you hear is whatever the sales team decides you can absorb.

What buyers should do

Treat the advertised price as a floor, never an estimate. Before you compare two tools, find the tier that actually contains the features you need, then compare those numbers. The entry price tells you almost nothing about your real cost.

For any quote-only tool, ask for the full price list in writing on the first call, not your custom quote, the list. Vendors that genuinely cannot publish a price often can still tell you the tier structure, and the ones that refuse are telling you something about how the negotiation will go.

And model your cost at the tier above the one you think you need. On the data here, that tier is roughly twice the sticker, and you will probably be on it within a year.

Methodology

Sample: 466 B2B SaaS products across 10 categories (sales, marketing, HR and recruiting, finance, security, customer success, collaboration, data and analytics, operations, developer tools), drawn from the Topickz review desk.

Collection: advertised entry price and full published tier ladders were read directly from each vendor's public pricing page and cross-checked against our category reviews. Tools showing no public number were flagged as quote-only. Data pulled and verified within 30 days of publication.

Cliff calculation: the "next tier up" jump compares the advertised entry price to the next-highest published tier of the same billing unit (per-user against per-user, flat against flat). Free and quote-only tiers were excluded from the cliff math. Tools with only one published price were excluded from the cliff sample (per-user n=116, flat n=126).

This is original Topickz research. We will refresh it annually.

Cite this report

Free to reference with a link back to this page. Suggested credit: "Topickz SaaS Pricing Cliff Report 2026 (topickz.com/research/saas-pricing-cliff-2026/)."

To embed the transparency index chart:

<a href="https://topickz.com/research/saas-pricing-cliff-2026/">
  <img src="https://topickz.com/images/research/saas-pricing-transparency-index-2026.svg"
       alt="Topickz SaaS Pricing Transparency Index 2026" width="760">
</a>
<p>Source: <a href="https://topickz.com/research/saas-pricing-cliff-2026/">Topickz SaaS Pricing Cliff Report 2026</a></p>

Related reading: best CRM software, best IAM and SSO platforms, and our review methodology.

The SSO Tax Report 2026

Topickz — Sat, 20 Jun 2026 07:28:14 +0000

Originally published on Topickz. This is original Topickz research.

There is a quiet line item in B2B software pricing that nobody puts on the pricing page in plain words. It is the price of logging in safely.

Single sign-on, the feature that lets your team authenticate through Okta or Google or Entra instead of yet another password, is the baseline security control every IT and security team asks for. It is also the feature a surprising number of vendors hold back until you reach the most expensive plan they sell, or until you book a sales call.

We wanted to put real numbers on it. So we hand-checked the live pricing pages of 28 well-known B2B SaaS tools in June 2026 and recorded exactly which tier first unlocks SSO or SAML. The pattern is not subtle.

57% of the B2B SaaS tools we checked (16 of 28) lock SSO behind their single most expensive tier

Topickz SSO Tax Report, 28 tools hand-verified, June 2026

What we checked

This is not a survey and it is not scraped. We opened each vendor's public pricing page, read the plan feature lists the way a buyer would, and recorded the lowest tier that includes SSO or SAML single sign-on. Where the pricing page was thin, we cross-checked the vendor's own security or help documentation. Every figure here was verified on June 7, 2026.

Our methodology covers how the review desk verifies pricing.

A tool counts as charging the "SSO tax" when SSO sits only on the single most expensive tier it sells, usually an Enterprise plan, and especially when that tier is custom-priced with no public number. A tool is in the clear when SSO is reachable on a lower paid plan, or free.

One wording trap worth flagging before the numbers. Several vendors list "SSO" on cheaper plans, but they mean social login, the Google or Microsoft "sign in with" button. That is not the same as SAML SSO wired to your company identity provider.

Smartsheet is the cleanest example: a generic "single sign-on" shows up on its lower plans, but true SAML-based SSO is Enterprise-only. We scored on SAML, the thing security teams actually require.

The SSO tax wall

Here are the 16 tools that reserve SSO for their top tier. The pattern repeats: a reasonable entry price, then SSO parked one or more rungs up, often behind "contact sales."

Tool	Cheapest paid plan	Tier that unlocks SSO	SSO tier price
ClickUp	$7/user/mo	Enterprise	Custom (sales)
Make	$9/mo	Enterprise	Custom (sales)
Smartsheet	$9/user/mo	Enterprise (SAML)	Custom (sales)
Linear	$10/user/mo	Enterprise	Custom (sales)
Canva	$10/user/mo (Teams)	Enterprise	Custom (sales)
Asana	$10.99/user/mo	Enterprise	Custom (sales)
Grammarly	~$12/user/mo (Pro)	Enterprise	Custom (sales)
Synthesia	$18/mo (Starter, annual)	Enterprise	Custom (sales)
Loom	$18/user/mo (Business)	Enterprise	Custom (sales)
Motion	$19/seat/mo	Enterprise	Custom (sales)
Descript	$24/mo	Enterprise	Custom (sales)
Writer	~$29/seat/mo (Starter)	Enterprise	Custom (sales)
Coda	$30/Doc Maker/mo (Team)	Enterprise	Custom (sales)
Jasper	$59/mo (Pro)	Business	Custom (sales)
Fireflies.ai	$10/user/mo (Pro)	Enterprise	$39/user/mo
Bitwarden	$4/user/mo (Teams)	Enterprise	$6/user/mo

Two of these deserve a fairer word. Fireflies.ai and Bitwarden at least publish the SSO tier price, and Bitwarden's is a $2/user/mo step, not a cliff. Bitwarden is also open-source and self-hostable, which makes it the gentlest case on this list. The rest, twelve of sixteen, hide the SSO price behind a sales conversation entirely.

Who taxes SSO, and who does not

Sort the same tools by what they actually do for a living and the story sharpens. The vendors whose product is security or developer infrastructure almost always include SSO. The vendors selling productivity and AI almost always charge for it.

AI and content tools are the worst, by a distance. Eight of the nine we checked (89%) lock SSO to the top tier: Grammarly, Jasper, Writer, Synthesia, Descript, Canva, Loom and Fireflies. The category that has spent two years telling enterprises to trust it with their data treats the basic control for protecting that data as a premium upsell.

Productivity and operations tools sit in the middle at 54%. ClickUp, Asana, Linear, Make, Smartsheet, Motion and Coda tax it. Notion, Zapier, Figma and Hive do not, with Notion the standout: SAML SSO lands on its Business plan at $15/user/mo, a tier below Enterprise.

Security, identity and developer tools are the clean ones, 1 of 6. The single exception is Bitwarden, and as noted it is the mildest version there is.

The good actors

It does not have to work this way, and the proof is the vendors who give SSO away or price it like the table stake it is.

Tool	SSO available from	Price
Cloudflare (Zero Trust)	Free plan	$0 (up to 50 users)
GitLab	Free (self-managed)	$0 self-managed
Slack	Pro (cheapest paid plan)	$8.75/user/mo
1Password	Business (entry business plan)	$7.99/user/mo
Notion	Business (below Enterprise)	$15/user/mo
Cursor	Teams (below Enterprise)	$40/user/mo
Sentry	Business (below Enterprise)	$80/mo
Figma	Organization (below Enterprise)	$55/editor/mo

Cloudflare is the cleanest of all: full SAML and OIDC integration on the free Zero Trust plan for up to 50 users. Slack puts real SAML SSO on its cheapest paid tier. GitLab hands self-managed customers SAML for nothing, and reserves it for Premium, never the top Ultimate tier, on its hosted plans. 1Password ships SSO unlock on its entry Business plan.

These are not charities. They are companies that decided a login standard should not be a revenue lever.

A few of the others, Cursor, Sentry and Figma, technically clear the bar because SSO is not on their single top tier, but reaching it still means a real jump (Sentry triples from $26 to $80 to get there). Better than a tax. Not free.

Why SSO ends up on the enterprise tier

None of this is an accident, and most of it is not even framed as security pricing. It is packaging. SSO is the feature that signals "this buyer has an IT department and a procurement process," so it gets used as the tripwire that moves a self-serve account into a sales-led contract.

The logic is clean for the vendor and ugly for everyone else. A 30-person startup that wants to put SSO in front of its tools is told the price is "Enterprise," which often means a five-figure annual minimum and a call. The control that would most improve that startup's security posture is the one sitting behind the highest paywall.

There is a reason the security community gave this a name years ago and started keeping public lists. Charging a steep premium for SSO does not just annoy buyers. It actively pushes smaller teams to run without it, which is the opposite of what a security feature is supposed to do.

The custom-pricing trap

The sharpest version of the SSO tax is not a high number. It is no number at all. Ten of the sixteen tools on our wall (ClickUp, Asana, Linear, Make, Smartsheet, Loom, Canva, Grammarly, Writer and Coda) put SSO on a custom-priced Enterprise tier with nothing published.

That does two things. It hides what SSO actually costs you until you are deep in a sales cycle, and it lets the vendor set the number based on what they think you can pay rather than a list price. You wanted to turn on a login standard. You ended up in a negotiation.

When a vendor will publish every other tier's price but goes dark exactly at the tier that unlocks SSO, that is a deliberate choice about negotiating position, not a limitation of the pricing page.

What buyers should do

Price SSO before you sign, not after. When you compare two tools, do not compare their entry plans. Find the tier that actually includes SAML SSO on each, and compare those numbers. For a lot of the AI and productivity tools above, that tier is a different planet from the sticker.

Read the word, not the label. If a plan says "SSO," check whether it means SAML wired to your identity provider or just a social login button. Smartsheet, and others, count on you not checking.

For any tool that hides SSO behind "contact sales," ask for the SSO tier's real number in writing on the first call, and ask why a login standard requires a negotiation. The answer tells you how the rest of the relationship will go.

And where two tools are close, the one that includes SSO on a reachable plan is worth a real premium elsewhere, because you are buying out a future five-figure surprise.

Methodology

Sample: 28 well-known B2B SaaS products across AI and content, productivity and operations, and security, identity and developer categories. Tools were drawn from the Topickz review desk and chosen for name recognition and for having a published tier ladder to verify against.

Collection: for each tool we read the live public pricing page on June 7, 2026 and recorded the lowest tier that includes SSO or SAML single sign-on, cross-checking the vendor's security or help documentation where the pricing page was ambiguous. We scored SAML SSO specifically, not generic social login, and we noted where the SSO tier is custom-priced.

Scoring: a tool charges the "SSO tax" when SSO is available only on its single most expensive tier. Two tools we examined (Vidyard and Copy.ai) did not publish enough to verify an SSO tier and were excluded rather than guessed. Self-hosted and SaaS editions can differ; where they do (GitLab, Bitwarden), we noted it.

This is original Topickz research. We will refresh it annually.

Cite this report

Free to reference with a link back to this page. Suggested credit: "Topickz SSO Tax Report 2026 (topickz.com/research/the-sso-tax-2026/)."

To embed the chart:

<a href="https://topickz.com/research/the-sso-tax-2026/">
  <img src="https://topickz.com/images/research/sso-tax-by-software-type-2026.svg"
       alt="Topickz SSO Tax by Software Type 2026" width="760">
</a>
<p>Source: <a href="https://topickz.com/research/the-sso-tax-2026/">Topickz SSO Tax Report 2026</a></p>

DEV Community: Topickz

AI Statistics 2026: 120+ Data Points on Adoption, Spend, Agents & Jobs (July Update)

Key takeaways

AI business adoption

Generative AI and consumer usage

AI at work and productivity

AI in SaaS and software products

AI spend and investment

AI ROI and business impact

AI agents and agentic AI

AI in marketing, sales and service

AI in HR and recruiting

AI risk, security and governance

Public attitudes to AI

AI, jobs and the workforce

Model, compute and capability trends

What these AI statistics mean for 2026

Related research from Topickz

B2B SaaS Buyer-Behavior Statistics 2026: 100+ Findings for SaaS Marketers

Key statistics

How buyers judge you: the ratings reality

What buyers complain about: your conversion killers

What buyers reward: the traits worth leading with

Pricing-transparency norms by category

How your pricing reads to buyers

Free-tier expectations by category

Cite this report

How AI Engines Decide Which B2B SaaS to Recommend (and a Free Tool to Score Yours)

What the engines are really doing

Two numbers worth internalizing

The five pillars we score

Score yourself

The SaaS Pricing Cliff Report 2026

What we measured

The transparency split

The categories that hide the ball

The pricing cliff

Why the gap exists

What buyers should do

Methodology

Cite this report

The SSO Tax Report 2026

What we checked

The SSO tax wall

Who taxes SSO, and who does not

The good actors

Why SSO ends up on the enterprise tier

The custom-pricing trap

What buyers should do

Methodology

Cite this report