Funnel and Clarisights overlap, but their centres of gravity differ. Funnel today positions itself as a marketing intelligence platform, but its foundation and biggest strength remain the Data Hub: collecting, normalizing and delivering marketing data. Clarisights is a full-stack marketing analytics platform: it does the data work and is the place where marketers analyze performance at a granular level every day. Here's how they compare.
The core difference
Funnel is genuinely strong at what it was built for: 600+ prebuilt connectors (per Funnel), no-code normalization of fields and currencies, its own storage, and delivery of clean data either to Funnel Dashboards or out to 36+ destinations (Looker, Tableau, Power BI, BigQuery, Snowflake, and AI tools). More recently, Funnel has added a measurement suite (MMM, multi-touch attribution and incrementality testing) and Funnel AI for natural-language questions on top of the Data Hub.
Clarisights is full-stack and marketing-native: it imports, stores, harmonizes and models channel, analytics, attribution and backend data (joined out of the box, down to the ad, keyword, creative and element level) and provides deep marketer-facing analysis in the same platform. Both collect and deliver data; the difference is where the daily analysis happens and how granular it gets. Clarisights is built for marketers to explore data at creative level and report on performance themselves, without adding a separate BI layer, and teams go live in about 1 week.
Funnel | Clarisights | |
Category | Marketing data hub, plus measurement and AI add-ons | Full-stack marketing analytics platform (ingest → analyze) |
Connectors | 600+ prebuilt connectors | Fully-managed connectors, high depth on channels & attribution |
Data modeling | No-code normalization; delivers clean data | Channel + analytics + attribution + backend joined & harmonized out of the box, to asset level |
Reporting & analysis | Funnel Dashboards, Funnel AI, or export to your BI tool | Purpose-built marketer exploration: custom dimensions, pivots, creative-level drill-down |
Depth / granularity | Standard reporting; asset/creative-level less central | Ad, keyword, creative and element level by default |
Separate BI tool needed? | Often paired with Looker/Tableau/Power BI for deeper viz | No — Clarisights is the analysis layer itself |
AI access | Funnel AI; MCP connections to AI tools on delivered data | Clarisights MCP: Claude, ChatGPT, Gemini, Cursor etc. query your joined, governed data in your team's own KPI definitions |
Pricing | Plan + Flexpoint capacity model (connectors, accounts and destinations consume points) | Value-based, based mainly on the number of data sources; unlimited users |
Time to value | Fast data-collection setup | Go live in 1 week, including joined granular data |
Data hub vs full-stack analytics
Both tools ingest and deliver marketing data, and both have their own dashboards. The difference is where each is deepest. Funnel's centre of gravity is the data foundation: broad collection, normalization and reliable delivery, now with measurement models layered on top. Clarisights' centre of gravity is granular marketer analysis: it joins and models the data and gives marketers a purpose-built place to explore it at creative and keyword level and report on performance, without moving to a separate BI tool or into spreadsheets for the real analysis.
Self-service and granularity
Both are no-code, but at different depths. Funnel gives marketers no-code dashboards for reporting, and Funnel AI for asking questions of the data. Clarisights is built for marketers to explore: group data with custom dimensions, pivot, add and edit metrics and dimensions, and drill to the creative level, so they can answer new questions in minutes. For daily, granular performance analysis (not just scheduled dashboards or one-off AI answers), that exploration depth is where Clarisights is leading. AI access follows the same logic. Both platforms connect to AI tools over MCP, but the AI is only as good as the layer it queries: Clarisights MCP exposes the joined, creative-level semantic layer to Claude, ChatGPT, Gemini, Cursor etc., in your team's own KPI definitions (blended CAC, contribution-margin ROAS) and under each user's existing access controls, read-only. AI answers match what marketers see in the platform, and teams can build applications on top of the same interface.
Pricing
Funnel prices on a plan plus a Flexpoint capacity model: connectors, connected accounts, visualization destinations and warehouse destinations each consume Flexpoints, so costs grow as you add sources, accounts and destinations. Funnel has also publicly shifted its pricing toward larger customers over the past two years. Clarisights uses value-based pricing, based mainly on the number of data sources, with unlimited users, which keeps costs predictable as more marketers and markets come onto the platform. (As always, evaluate both models against your own setup.)
When Funnel is the right choice
If your primary need is broad, reliable data collection and normalization (feeding your own warehouse or BI tools, with reporting handled there, and optionally Funnel's measurement models on top), Funnel is an excellent, marketer-friendly data hub, and its connector breadth and no-code normalization are real strengths. Clarisights is the better fit when marketers need to explore granular, creative-level data and report on performance in one platform, without assembling a separate analysis layer.
Why marketing teams choose Clarisights
Rated 4.9/5 on G2 (60+ reviews, majority enterprise reviewers), Clarisights is used by enterprises including HelloFresh, Delivery Hero, On and Bitpanda to give marketers self-service, creative-level, cross-channel reporting with governance: without SQL, spreadsheets, a separate BI tool, or waiting on the data team.
See how leading enterprise marketing teams go from questions to insights in minutes. Book a demo →
4.9 out of 5
