Analytics platform selector

1. Main analytics goal

Marketing web vs product analytics are often two different tools.

Campaigns, traffic, ad conversions Digital product - retention, funnels, feature adoption Privacy and data control (GDPR) Simple site traffic - no complex tracking

2. Dominant ecosystem

Native integrations lower implementation cost.

Google - Ads, GSC, BigQuery, GTM Adobe Experience Cloud Modern stack - Segment, warehouse, product tools Neutral / mixed

3. License budget

Open source = lower license, higher maintenance cost.

€0 - free start Low - up to a few hundred EUR/mo Medium - SaaS with implementation Enterprise - custom quote

4. Privacy requirements

GDPR, EU hosting and consent are often decisive.

Strict - EU hosting, CMP, auditability Privacy-light - no cookies, minimal tracking Standard - external Consent Mode / CMP OK Not sure - show options

5. Traffic / product scale

Volume affects cost and architecture.

Small - up to 100k sessions/mo Medium - 100k-1M sessions Large - 1M+ sessions or events

6. Deployment model

Self-host requires a technical team.

SaaS / vendor cloud only Self-host / open source OK Hybrid - cloud + own warehouse

7. Priority feature

Match the tool to the most important capability.

Campaign attribution and paid media Product funnels and cohorts Session replay and UX debugging Built-in consent and tag management Export to BigQuery / warehouse

Analytics platform selector

Analytics platform selector

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Analytics

Marketing