Your marketing campaigns influence deals, but you can't prove it. First-click credits the webinar that sparked interest but ignores the 6 months of nurturing before close. Last-click credits the sales email but erases marketing's contribution. Without clear attribution, your budget allocation becomes guesswork. This guide compares the attribution platforms that solve this and tells you which model actually works for B2B revenue.
The Attribution Problem
Your deal closed on a sales call (last-click model credits sales). But it started with a webinar 6 months ago, then an email nurture campaign, then a demo. Who deserves credit? Webinar, nurture, demo, or sales? Multi-touch attribution tries to answer this. Spoiler: no model is objectively correct, and most teams overthink it.
Built-In Attribution Models
Most marketing platforms (HubSpot, Marketo, Pardot) include basic attribution: first-touch, last-touch, linear, time-decay. These are free, included in your subscription, and fine for most teams.
HubSpot's default: last-touch (credit the final marketing interaction before closed-won deal). Bias: overvalues demo scheduling, undervalues top-of-funnel awareness.
Marketo's default: configurable (you choose the model). Bias: complex setup, but flexibility is valuable if your demand-gen motion is sophisticated.
Pardot's default: first-touch (credit the original marketing interaction). Bias: overvalues top-of-funnel campaigns, undervalues bottom-funnel conversion.
For most mid-market SaaS, built-in attribution is sufficient. You'll learn that top-of-funnel campaigns drive 30% of influence, mid-funnel 40%, bottom-funnel 30%. Use that insight to re-allocate budget. Boom, you're done.
---Dedicated Attribution Platforms: Demandbase, RollWorks, Improvado
If you want true multi-touch attribution with algorithmic models (machine learning weights interactions based on historical conversion patterns), you need a dedicated platform.
Demandbase: Full ABM stack including attribution. Uses algorithmic models to weight account touches across all channels (ads, email, website, sales touches). Shows which campaigns most influenced which deals.
RollWorks: Similar to Demandbase. Multi-touch attribution across paid, email, and sales workflows. Setup takes 8-12 weeks.
Improvado: Data warehouse aggregation + attribution modeling. Pulls data from all your martech tools (HubSpot, Marketo, Salesforce, ads) into a data warehouse, then applies attribution models. More flexible than Demandbase/RollWorks but requires stronger data ops.
Multitorch: Attribution-only platform. Pulls Salesforce, HubSpot, and ad platform data, applies multi-touch models. More affordable than Demandbase, but narrower scope (attribution only, no campaign orchestration).
The Hard Truth About Attribution Models
No model is perfect. Algorithmic models (machine learning) are popular but opaque. You don't know why the model weights a webinar as 15% influential versus 10%; the algorithm just says so.
Linear (equal credit across all touches) is simple but ignores that early touches have different value than late touches.
Time-decay (more credit to recent touches) is intuitive but can undervalue demand generation (which happens 6 months before close).
Learn more about What is Account Based Marketing.
Learn more about ABM Strategy Guide.
Most winning teams use simple first-touch or last-touch plus intuition. Example: we see webinars generate 40% of our closed deals; let's invest more in webinars. You don't need fancy attribution; you need pattern recognition.
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See the demo →When Dedicated Attribution is Worth It
Book a Demo For more context, learn about multi-touch attribution. For more context, learn about multi-touch attribution. Dedicated attribution platforms are worth their $50k-200k/year cost if: (1) you have complex multi-channel campaigns (ads, email, events, sales engagement) touching 20+ stakeholders, (2) you want to measure ROI of expensive campaigns (executive events, webinars, sponsorships), (3) your VP Marketing needs to report to CEO on marketing's pipeline influence.
Skip dedicated attribution if: (1) you have simple funnels (ads > landing page > demo > close), (2) you're under 20M ARR, (3) you don't have strong data ops to maintain the integration.
---Attribution Models Ranked by Simplicity
- Last-touch: free, built-in, gives all credit to the final touch. Simple and wrong.
- First-touch: free, built-in, gives all credit to the first touch. Simple and wrong.
- Linear: free or cheap, distributes credit equally across all touches. Simple and somewhat less wrong.
- Time-decay: free or cheap, weights recent touches higher. Intuitive and reasonable.
- Algorithmic (Demandbase, RollWorks): expensive, uses machine learning to weight interactions. Sophisticated but opaque and often not significantly more accurate than time-decay.
Practical Attribution for B2B SaaS
Most practical approach: use HubSpot or Marketo's time-decay model (free), run the reports quarterly, and manually review the top 10 won deals. Ask your sales team: "What actually moved this deal forward?" Attribution software will tell you a number; your sales team will tell you the truth. Combine both.
Example: attribution says webinars drive 15% influence. But you ask sales and learn that webinars drive awareness but deals close on 1-on-1 demos and sales emails. So invest 15% of your time in webinars, 85% on demos and sales engagement.
Pricing Comparison: Attribution Platforms
| Platform | Cost | Model | Setup | Best For |
|---|---|---|---|---|
| HubSpot built-in | Included | Time-decay, linear, first | Days | SMB, simple funnels |
| Marketo built-in | Included | Configurable | Weeks | Mid-market with ops |
| Book a Demo |
Discover more in our guide on revenue operations.
Discover more in our guide on revenue operations. | Demandbase | $150k+/yr | Algorithmic + ABM | 12 weeks | Enterprise ABM | | RollWorks | $100k+/yr | Algorithmic + ABM | 8 weeks | Mid-market ABM | | Improvado | $30-100k/yr | Algorithmic + warehouse | 6-8 weeks | Data-ops-heavy orgs | | Multitorch | $50k/yr | Algorithmic | 4 weeks | Attribution-focused |
---FAQ
Should we build custom attribution in our data warehouse? Only if you have a strong data engineering team. Time investment is 4-8 weeks. Cost is engineer time. Payoff: you control the model. Most teams find dedicated platforms cheaper than building.
Which multi-touch model is most accurate? Algorithmic models (machine learning) are most defensible because they're based on historical data. But they're often no more accurate than simpler time-decay models for real business decisions.
How do we avoid analysis paralysis with attribution? Start with time-decay (free). Run quarterly. Ask sales what actually happened. Adjust budget allocation. Don't overthink.
Can we measure ABM impact with attribution? Yes, if your CRM has account objects and your attribution platform can aggregate at account level (not just contact level). Demandbase and RollWorks do this well. HubSpot and Marketo require workarounds. Book a Demo
Do we need attribution to be successful at demand gen? No. Most successful demand gen teams have scrappy attribution: webinar signup rate, email click rate, demo booking rate, sales cycle length by source. Measure outcomes, not phantom influence.
