B2B SaaS attribution is its own discipline — long cycles, multi-touch, account-based. We evaluated 24 tools, and ranked the 8 that actually fit $5M–$100M ARR SaaS.
Right place if
Wrong place if
Every score below is anchored to a measurement rule. Tools below 90/100 didn't make the list.
This is a desk evaluation, not a hands-on test. We reviewed each vendor's public pricing, product documentation, integration catalogue and positioning, then scored every tool against the rubric above. Scores reflect published capability, not measured performance in your stack.
Where a vendor does not publish something — a price, a connector list, a limit — we score it as absent rather than assume it exists. That is why some otherwise capable tools score lower on transparency-dependent dimensions.
Fairview appears in this ranking and we build one of the tools listed, so read the placement with that in mind. The rubric and weights are published above so you can disagree with our weighting and re-rank the list yourself. We take no affiliate commission from any vendor here. Our full policy is at editorial standards.
What changed: 7 of 8 SaaS-fit tools lead with multi-touch models.
Why it matters: Last-click misvalues every paid program in a 94-day cycle.
What changed: Tools moved from lead-level to account-level rollups.
Why it matters: B2B buys as a committee, not as a person.
What changed: Marketers now ask "which source produced ARR that retained?"
Why it matters: Source-to-ARR-to-retention is the new truth metric.
What changed: Migration off Bizible/Marketo Measure accelerated in 2025–2026.
Why it matters: Dreamdata and HockeyStack took share.
B2B SaaS marketing teams who want the gold-standard multi-touch model
9 / 10
4.7 ★ G2
$999/mo
2–3 weeks
Why picked
Where it loses
Verdict: The default pick for serious B2B SaaS attribution.
B2B SaaS teams who want attribution + buyer journey in one tool
8.7 / 10
4.8 ★ G2
$1,295/mo
1–2 weeks
Why picked
Where it loses
Verdict: Tied with Dreamdata. Pick HockeyStack if buyer-journey UX matters most.
Adobe/Marketo-shop enterprises
8.3 / 10
4.0 ★ G2
Custom (~$3,000/mo)
4–8 weeks
Why picked
Where it loses
Verdict: Reasonable if you're already Adobe/Marketo. Otherwise pick Dreamdata or HockeyStack.
SaaS teams who want pipeline source tied to ARR, retention, and LTV in one source-first audit trail
7.8 / 10
Scored below, not rated externally
$149/mo
15 minutes
Why picked
Where it loses
Verdict: Not a primary B2B attribution tool. Pick Dreamdata or HockeyStack. Use Fairview as the financial truth layer underneath.
Smaller B2B teams who want simpler attribution
7.5 / 10
4.5 ★ G2
$499/mo
1–2 weeks
Why picked
Where it loses
Verdict: Good fit for $5–$15M ARR SaaS who want attribution without the Dreamdata bill.
Marketing data unification before modeling
7.3 / 10
4.5 ★ G2
$999/mo
2–4 weeks
Why picked
Where it loses
Verdict: Pick if you need the data layer first and will model attribution yourself.
D2C / ecommerce attribution
6.5 / 10
4.6 ★ G2
$129/mo
1 week
Why picked
Where it loses
Verdict: Wrong tool for B2B SaaS. Pick if you're D2C.
Free baseline web analytics
6 / 10
4.2 ★ G2
Free
1 day
Why picked
Where it loses
Verdict: Keep it for site analytics. Do not use it as your B2B attribution model.
Gold-standard multi-touch model tied to closed ARR.
Tied with Dreamdata; best buyer-journey replay.
Deepest Marketo integration if you're already on it.
Ties pipeline source → ARR → retention with source-first audit trail.
Lower-cost multi-touch basics.
| Stage | Monthly spend | Annual spend |
|---|---|---|
| $5M ARR | $500–$1,200 | $6,000–$14,400 |
| $10M ARR | $1,200–$2,500 | $14,400–$30,000 |
| $25M ARR | $2,500–$4,500 | $30,000–$54,000 |
| $50M ARR | $4,500–$8,000 | $54,000–$96,000 |
| $100M ARR | $8,000–$15,000 | $96,000–$180,000 |
Public pricing of 24 vendors + 56 verified SaaS contracts (Fairview 2026 audit)
Mistake #1 — Picking a D2C tool for B2B SaaS
Triple Whale and Northbeam are built for Shopify, not 94-day account cycles.
Fix: Pick Dreamdata or HockeyStack.
Mistake #2 — Relying on GA4 last-click for B2B
Last-click misvalues every paid program in a long cycle.
Fix: Move to a multi-touch model.
Mistake #3 — Buying attribution without Salesforce + HubSpot integration
Without CRM data, attribution is just web analytics.
Fix: Demand native CRM integration.
Mistake #4 — Skipping the ARR / retention side of the model
A source that produces churned ARR is not a winning source.
Fix: Tie attribution to closed ARR and retention, not MQLs.
Mistake #5 — Buying Bizible because the AE knows you
Bizible is mature but post-Adobe innovation slowed.
Fix: Compare Dreamdata + HockeyStack first.
Evaluation checklist (24 questions)
PDF, on request. The exact questions to ask in every vendor demo.
Sheets
Comparison spreadsheet
8 tools × 6 dimensions in Google Sheets.
Methodology PDF
How we scored, what each dimension means, what we excluded.
Calculator
Cost calculator
Plug in your numbers, get TCO + ROI estimates.
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Read guide →Dreamdata (9.0/10) and HockeyStack (8.7/10) lead the category. Bizible/Marketo Measure remains strong for Adobe shops.
Fairview is not a primary B2B attribution tool. Use it underneath Dreamdata or HockeyStack as the financial truth layer that ties pipeline source to ARR and retention.
Pick Dreamdata for the deepest multi-touch model. Pick HockeyStack for the best buyer-journey UX. Both are excellent.
Only if you're already on Marketo/Adobe. Post-acquisition innovation slowed and migration off Bizible accelerated in 2025–2026.
No — GA4 has no B2B account model, last-click bias, and no ARR side. Keep GA4 for site analytics, not attribution.
No. Triple Whale is D2C-led. Wrong buyer model for B2B SaaS.
Median spend at $20M ARR is ~$38,000/year. Most $5M–$100M ARR teams land $14K–$96K/year.
HockeyStack 1–2 weeks. Dreamdata 2–3 weeks. Bizible 4–8 weeks. Fairview 15 minutes.
Multi-touch (W-shaped or data-driven) at account level, tied to closed ARR and retention.
Yes — most $10M+ ARR teams do exactly this. Dreamdata for the journey model, Fairview for the source-to-ARR-to-retention audit trail.
