B2B SaaS companies (50-5,000 employees) wanting warehouse-native multi-touch attribution tied to closed-won pipeline, particularly Snowflake/BigQuery/Databricks-anchored revenue teams.
Mobile / B2C apps (AppsFlyer/Branch/Singular/Adjust better), Marketo-anchored teams wanting native fit (Bizible better), pure Salesforce reporting (Full Circle Insights better), or budget-conscious sub-$5M ARR with no warehouse.
Is Dreamdata a trustworthy vendor?
- 2022-06-15Series A $9.5M led by Aglaé Ventures
- 2024-09-22B2B SaaS attribution category leadership maintained; warehouse-native positioning entrenched
- 2025-11-12Expanded data-driven custom attribution models; AI-driven journey insights
What 380 reviews actually say
Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.
Praise patterns
- Warehouse-native B2B SaaS architecture87% →
- Strongest B2B SaaS attribution positioning78% →
- Multi-touch attribution tied to revenue71% →
- Modern UX and product velocity64% ↑
Complaint patterns
- Pricing escalated as category matured47% ↑
- Implementation requires marketing ops + data engineering41% →
- Customer support variable post-rapid-growth31% ↑
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“We finally have multi-touch attribution that ties LinkedIn ads to closed-won deals 9 months later. Dreamdata reads our Snowflake directly, no parallel data pipeline.”
VP Marketing, B2B SaaS· G2 · 2026-03-18
What buyers actually pay
187 anonymized deal disclosures · last updated 2026-05-01
| Company size | Median annual |
|---|---|
| 50-200 employees | $18,000 |
| 200-1,000 employees | $54,000 |
| 1,000+ employees | $156,000 |
Auto-verified certifications
Editorial: Strengths
- Warehouse-native B2B SaaS architecture (Snowflake/BigQuery/Databricks ingest)
- Strongest B2B SaaS attribution category positioning
- Multi-touch attribution tied to closed-won revenue
- Modern UX and founder-led product velocity
- Deep CRM (Salesforce/HubSpot) and marketing automation integrations
- Built for B2B SaaS revenue teams
- Free tier for early-stage B2B
Editorial: Weaknesses
- Not a fit for mobile / B2C attribution
- Pricing escalated as category matured
- Implementation requires marketing ops + data engineering for non-trivial setups
- Support inconsistency reported post-rapid-growth phase
- Smaller deployed base versus Bizible historical
Key features & integrations
- +Warehouse-native ingest (Snowflake, BigQuery, Databricks, Redshift)
- +Multi-touch attribution (first, last, U-shape, W-shape, custom data-driven)
- +B2B identity resolution at account level
- +CRM pipeline integration (Salesforce, HubSpot)
- +Ad network ingest (Google, Meta, LinkedIn, TikTok)
- +Marketing automation integration
- +Customer journey visualization
- +Revenue analytics + dashboarding
Read our full ranking of Marketing Attribution Software
Dreamdata ranks #1 in our editorial review of 10 marketing attribution software platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.
Read the full rankingClosest alternatives in Marketing Attribution Software
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