Count vs Clarisights

A detailed comparison to help you choose between Count and Clarisights.

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Verdict: Clarisights wins

Clarisights scores 4.2/5, edging out Count at 3.8/5. Enterprise performance marketing teams spending across many channels and markets who need governed self-service analytics instead of data-team ticket queues.

Count

Count

Collaborative data analysis notebooks

Clarisights

Clarisights

Unified analytics platform for marketing performance across channels

Rating3.8 (1 review)4.2 (1 review)
Pricing Modelfreemiumpaid
Starting PriceFree tier availableFrom $500/mo
Best ForData teams whose colleagues act on AI-generated numbers and need every claim traced to a source before it reaches a decision.Enterprise performance marketing teams spending across many channels and markets who need governed self-service analytics instead of data-team ticket queues.
Free Tier
API Access
Team Features
Open Source
Tags
free tierteam features
ssoteam featuresapi access
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Count

Pros

  • + Citation labelling is real: in my tests, sourced claims showed their source, inferences were tagged as judgements, and an unsourced claim was flagged 'check needed' instead of being invented
  • + Multiplayer canvas beats notebooks for concurrent work — three of us edited SQL, annotations and Python on one board with no lock conflicts
  • + Per-editor pricing with free viewers keeps costs tied to producers, not audience
  • + Live reports recompute from the warehouse rather than freezing snapshots, and automations push them on schedule

Cons

  • - Free tier is a taste only: 3 canvases, 1 project, 1 database connection
  • - Pro's 4GB compute cap on the Python VM and dataset extracts is awkward for wide extracts; 32GB requires Enterprise
  • - 'Unlimited AI credits' is fair-use with an unpublished daily ceiling — get the number in writing before signing
  • - Governed semantic layer with admin approvals is Enterprise-only, so mid-tier teams can still ship conflicting metric definitions
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Clarisights

Pros

  • + Self-service exploration is real: in my test a non-SQL marketer answered a cross-market affiliate question in about 10 minutes instead of filing a data ticket
  • + Central metric definitions (blended CAC, contribution-margin ROAS) mean the same number everywhere, which fixes the four-teams-four-ROAS problem I see in most enterprises
  • + Marketing data MCP exposes the governed semantic layer to AI assistants with the user's own ACL — cross-channel metrics arrive as single, trustworthy columns
  • + Channel data reconciled cleanly against Meta and Google platform UIs at campaign and ad-set level in my checks
  • + G2 record is strong for the category: 4.9/5 from 63 reviews at time of writing, with roughly a month reported time-to-implement

Cons

  • - No published pricing and no self-serve purchase — every evaluation goes through a sales process
  • - Free trial status is contradictory across review sites (G2 lists one, Capterra lists none), so budget extra clarification time
  • - Narrow by design: no general-purpose SQL surface, no warehouse modelling for non-marketing data, purpose-built charting only
  • - Custom campaign naming taxonomies still need human cleanup — the platform surfaces inconsistencies but does not fix them
  • - Small vendor (about 33 staff) with a concentrated enterprise customer base is a genuine long-term dependency risk
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Frequently Asked Questions

Which is better, Count or Clarisights?▼
Clarisights scores higher at 4.2/5 vs 3.8/5 for Count, making it the better-rated option in our comparison.
What is the difference between Count and Clarisights?▼
Count: Count is a collaborative canvas for data analysis, combining SQL, Python and charts in a notebook several people can work in at once. Clarisights: Clarisights brings paid marketing data from every channel into one reporting platform, so enterprise teams can compare and explore campaign performance in one place.
Is Count or Clarisights more affordable?▼
Count starts at €0/mo, Clarisights starts at €500/mo. Check the comparison table above for current pricing.

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