FINDING 01·B2B SaaS product teams·1 source
No single B2B product analytics tool satisfies support quality, session recordings, and flexible insights together
Teams evaluating B2B product analytics tools find that no single platform combines good customer support, session recordings, and flexible event/insight creation. Multiple tools were tried and rejected. This was raised in 2023.
Source
“Tried out Posthog, June, Amplitude, Logsnag and none of them satisfy the conditions.”
FINDING 02·Data-savvy SaaS teams and engineers·1 source
Inability to query data warehouse directly — forced data extraction
Users are frustrated that leading product analytics tools require pulling data out of their cloud data warehouse rather than querying it in place. This creates redundant pipelines and data silos. Raised in 2022, this reflects a persistent architectural gap.
Source
“Why is there no self serve product analytics tool on top cloud datawarehouse, where I don't have to pull the data out.”
FINDING 03·Indie developers and solo founders·1 source
Free tiers of analytics tools lack meaningful user journey and drop-off visualization
Indie developers and small project owners find that free plans of tools like PostHog do not surface actionable insights about where users spend time or where they drop off — limiting their ability to make product improvements without paying. Raised in 2026.
Source
“I have posthog for perfectsystemdesign.com but the free plan doesn't offer clear insights into where users are spending time or drifting off. For instance, if they visit my pricing page and browse away, I'd like to track that.”
FINDING 04·Small business owners and e-commerce operators·1 source
Analytics dashboards show data but don't prescribe actionable next steps
E-commerce and SaaS owners feel that analytics tools produce reports and dashboards but fail to translate data into concrete actions. Users are left asking 'what do I do now?' after reviewing their metrics. Raised in 2025.
Source
“Most e-commerce owners I talk to have the same problem: They look at dashboards, graphs, 'analytics'… and at the end they think: 'Okay, but what do I do now?'”
FINDING 05·Product managers and analysts without strong SQL skills·2 sources
Mainstream tools can't handle advanced SQL-level analytics queries
Users of Amplitude and Mixpanel hit walls when trying to perform complex queries such as conversion funnels grouped by later-identified user properties, highly specific cohort retention, or automated cross-period reporting. They feel forced to learn SQL or find external tooling. This pain was expressed in 2022 and remains relevant given the continued dominance of these tools.
Source
“I've always used Amplitude / Mixpanel, but lately there's some queries that I just can't get out of it. - Conversion funnels, grouped by user properties identified later in the funnel. - Highly specific cohort retention - Automating reporting into Google Sheets across weekly/monthly/quarterly.”
Source
“Feels like I finally need to bite the bullet and learn SQL after pushing it off for a decade.”
FINDING 06·Early-stage founders and product teams with existing databases·1 source
Event-logging tools are poorly suited for database-driven retention analysis
Users who want to run cohort/retention analysis on raw transactional data from their own database find that event-logging tools like Mixpanel are not designed for this use case. They need tools that accept CSV or database syncs rather than instrumented events. Raised in 2018 — this is an older pain, but the architectural mismatch between event-based and database-based analytics remains a real distinction.
Source
“I am not looking for an event-logging based tool (say, MixPanel) which I feel are more suitable for UX conversion funnel analysis, but want to use raw data (core action in product, like a final completed transaction) from my database to do this analysis.”
FINDING 07·Product managers and analysts with limited SQL experience·2 sources
No accessible SQL generation tool for common product analytics queries
Users who need to go beyond GUI-based analytics tools struggle to find a tool that, given a schema, generates SQL for standard product analytics patterns (funnels, cohorts, retention). Existing options are either enterprise BI tools or EOL products. Raised in 2022.
Source
“Is there any tool that, given a schema, pops out queries? Like June.so for product analytics SQL queries. Rakam looks similar to what I want, but it got bought, and seems to be EOL.”
Source
“I'm finding various blog posts, and a lot of enterprise-targeted BI tools.”