Solution

Know Exactly What's Driving Revenue

Attribution reporting

We build attribution frameworks and reporting systems that connect your marketing activity — including AI agents and agentic outbound — to pipeline and closed-won revenue, so every autonomous touch is tracked and every dollar is accountable.

Sound familiar?

Common challenges we solve

Last-touch attribution gives all the credit to the final click — ignoring everything that built the relationship

The board asks for channel ROI and the answer is a spreadsheet cobbled together from three tools

Marketing and sales disagree on which channels actually drive pipeline

You know content and events contribute, but you can't quantify how much

Budget decisions are based on gut feel because attribution data is unreliable or missing

UTM tracking is inconsistent and offline touchpoints are invisible

What we build

A clearer view of marketing performance

01

Multi-Touch Attribution

Move beyond last-touch models to frameworks that reflect actual buyer engagement, ensuring every channel receives appropriate credit.

02

Reporting That Drives Decisions

Custom dashboards that surface critical metrics for leadership teams, enabling confident budget decisions without raw data analysis.

03

Connected to Your Stack

Attribution models that integrate with HubSpot, Salesforce, or custom data warehouses, unifying your GTM technology ecosystem.

04

Campaign ROI Measurement

Quantify actual campaign ROI by connecting ad spend and investments to pipeline generation and closed revenue.

Models

Attribution models compared

We implement the model that matches your buyer journey — or build a custom hybrid.

Last Touch

100% to final touchpoint

First Touch

100% to initial touchpoint

Linear

Equal credit across all touches

Time Decay

Progressive credit favoring recent

U-Shaped

40% first, 40% last, 20% middle

Example

58-day buyer journey with time-decay attribution

A real-world example showing how credit flows across touchpoints to a $52K ARR deal.

Day 1Paid Search
5%
Day 12Blog Content
10%
Day 28Webinar
18%
Day 41Email Nurture
27%
Day 58Demo Request
40%
Deal value: $52K ARR

FAQ

Frequently asked questions

Multi-touch attribution is a measurement framework that distributes credit for a conversion (pipeline or revenue) across all marketing touchpoints in a buyer's journey. Unlike last-touch attribution, which gives 100% credit to the final interaction, multi-touch models (linear, time-decay, U-shaped, W-shaped) recognize that B2B buying decisions involve 6-8 touchpoints over 30-90 days. This gives marketing teams accurate data on which channels and campaigns actually drive revenue.

There is no single best model — the right choice depends on your sales cycle and buying process. Time-decay attribution works well for companies with longer sales cycles (60+ days) because it weights recent touches more heavily. U-shaped attribution is effective when first-touch awareness and last-touch conversion are both critical. Most B2B SaaS companies benefit from running multiple models in parallel and comparing the insights each provides.

Most attribution implementations take 4-6 weeks. Weeks 1-2 focus on auditing existing tracking (UTMs, CRM touchpoints, ad platform data) and defining the attribution model. Weeks 3-4 involve configuring touchpoint capture, building the attribution logic in your CRM, and connecting ad spend data. Weeks 5-6 cover dashboard builds, team training, and initial calibration. Companies with clean UTM hygiene and consistent CRM data can see initial reports within 3 weeks.

We build attribution frameworks on HubSpot, Salesforce, and Marketo — using native reporting, custom objects, and calculated properties. For companies that need cross-platform attribution (e.g., Marketo automation with Salesforce CRM), we build the connective layer that unifies touchpoint data. We also integrate with ad platforms (Google Ads, LinkedIn, Meta) and analytics tools (GA4) to capture the full picture.

Attribution and lifecycle models are two sides of the same coin. Your lifecycle model defines when a prospect becomes an MQL, SQL, or Opportunity. Attribution tells you which marketing touchpoints drove those stage transitions. When built together, you can answer questions like 'Which channels generate the most SQLs?' or 'What content sequence leads to the fastest Opportunity creation?' — not just 'What got the last click before a form fill.'

Build attribution that connects spend to revenue

Book a strategy call to implement multi-touch attribution, connect campaign spend to revenue, and build leadership dashboards.