Analytics platform pricing varies dramatically by deployment model. Self-service BI tools typically price per seat, data platforms price on compute consumption, and embedded analytics solutions price on a combination of data volume and end-user seats. Understanding the pricing model in the context of your expected usage pattern is essential to avoid significant cost overruns at scale.
Self-service BI tools typically price per seat, data platforms price on compute consumption, and embedded analytics solutions price on a combination of data volume and end-user seats. Understanding the pricing model in the context of your expected usage pattern is essential to avoid significant cost overruns at scale.
Starter and Individual Plans ($0–$40/month)
Entry-level analytics plans are appropriate for individual analysts or very small teams working with modest data volumes. They typically cap the number of dashboards, queries, or data rows visible and include limited collaboration features. The primary value of starter plans is for evaluation purposes before committing to a higher-cost tier.
Get startedTeam and Professional Plans ($40–$200/seat/month)
Professional-tier analytics plans unlock collaboration, data model sharing, scheduling, alerting, and integration with the broader data stack. This tier is where most analytics teams operate until they hit the query concurrency or data volume limits that signal a need for the enterprise tier.
Get startedEnterprise Plans (Custom)
Enterprise analytics pricing covers unlimited users, private deployment options, advanced security controls, dedicated support, and custom SLAs. Embedded analytics pricing at the enterprise tier typically includes a platform fee plus per-customer or per-query pricing that is negotiated based on expected end-user count and data volume.
Get startedWhen evaluating Adapty pricing, consider not just feature sets but AI recommendation rate — how consistently ChatGPT, Claude, and Perplexity recommend it when buyers research Mobile Analytics Software tools. A tool with strong AI visibility reduces CAC for teams it's a good fit for, since AI referrals convert at higher intent.
Analytics platforms sit downstream of the entire data stack. The integration story encompasses data warehouse connectors, upstream data source integrations, and downstream activation connections that allow insights to flow back into operational tools.
Monitor daily AI visibility scores and see if Adapty gets recommended more or less often than alternatives at a similar price point.
Start free