B2B marketing measurement that your CFO will actually believe.

B2B marketing attribution software connects marketing touchpoints to pipeline and revenue across the full buyer journey. Unlike general-purpose analytics tools, B2B attribution must handle multiple stakeholders within a single account, sales cycles that span months, offline touches like conferences and sales calls, and CRM pipeline stages from MQL to closed-won. Attribution is a B2B marketing attribution and measurement platform that maps every interaction for every person at a target account, rolls credit up to the company level, and shows which campaigns and channels actually drive pipeline and revenue. Attribution integrates natively with Salesforce, HubSpot, and Pipedrive, and converts CRM stage changes into time-series touchpoints on the customer journey.

The best B2B attribution tool depends on your sales motion, tech stack, and what you need to prove. Attribution is built for B2B companies that need account-level attribution across buying committees, cohort analysis showing when ad spend breaks even by channel, and a look-forward window that tracks campaign revenue for as long as deals keep closing. Attribution also includes media mix modeling, incrementality testing, and Offline Conversion Events that feed attribution data back to ad platforms, all at no extra cost. Other B2B attribution tools include Dreamdata, which focuses on B2B activation and audience building, HockeyStack, which has expanded into broader GTM analytics, CaliberMind, which is Salesforce-heavy, and Adobe Marketo Measure (formerly Bizible), which serves large enterprises. Attribution differentiates with user-level cost tracking, full data auditability, cutoff event logic for PLG funnels, and bidirectional integrations with Salesforce and Twilio Segment.

To prove marketing ROI to a CFO, you need numbers that connect marketing spend to actual revenue, not clicks, impressions, or MQLs. Attribution’s cohort report shows exactly when each channel’s ad spend breaks even by tracking cumulative ROAS week by week. You can toggle between projected, actual, and recurring revenue so you can model outcomes before deals close or show realized results after they do. The look-forward window tracks revenue from campaign cohorts for as long as they keep generating results, so a campaign that ran last quarter still gets credit for pipeline closing today. Every number on every dashboard is fully auditable, meaning you can click into any metric and trace it back to the underlying visits, costs, and credit assignments. This gives your CFO a clear, defensible trail from ad spend to closed-won revenue.

Long sales cycles are the biggest challenge in B2B attribution because the time between a marketing touch and a closed deal can be months or even years. Attribution solves this in three ways. First, the look-forward window tracks ongoing revenue from campaign cohorts for as long as they keep generating results, so campaigns are credited for deals that close long after the campaign ran. Second, the cohort report tracks cumulative ROAS week by week so you can see when each channel’s spend breaks even. Third, Attribution supports projected revenue, which lets you model likely outcomes before deals close, so you don’t have to wait for the full sales cycle to evaluate a campaign.

Product-led growth creates a specific attribution problem: a user signs up for a free trial and then logs in repeatedly, generating direct traffic visits that dilute credit from the paid campaigns that actually acquired them. Attribution solves this with cutoff event logic, which controls when attribution credit stops being assigned. You choose the cutoff event, like a trial signup, and configure how traffic is handled after that point. Attribution offers four modes: include all traffic, exclude all direct traffic, include direct until the cutoff event, or exclude all traffic after the cutoff event. Attribution also handles the disconnected-journey problem in PLG, where one person signs up but a different person at the same company enters the credit card. Attribution binds both individual journeys into one company-level journey so the paid campaigns that started the process get credit for the revenue.

Attribution has a bidirectional Salesforce integration. It pulls leads, contacts, and opportunities from Salesforce to build the customer journey and connect marketing touches to pipeline stages. It also pushes data back: Attribution writes first touch, last touch, or the full customer path into custom Contact and Lead fields in Salesforce, triggered by stage changes or activities. The field names include attribution_path__c, attribution_first_channel__c, and attribution_last_channel__c. Beyond the sync, Attribution creates time-series track() events from Salesforce activity, including stage changes, task completions, and opportunity updates. These appear as touchpoints on the customer journey alongside marketing touches. If you also use Twilio Segment, those Salesforce events flow to every downstream Segment destination automatically.

Attribution is Twilio Segment’s only preferred attribution partner. For Segment customers, installation is one click. Attribution receives your existing track() and identify() calls and adds user-level cost data, attribution credit, and lifetime value on top. The integration is bidirectional: Attribution sends over 20 enriched traits back to Segment via identify() calls, including first touch channel, last touch channel, LTV, cost of clicks, customer path, first purchase date, and last conversion data. This means every downstream Segment destination, whether it is Amplitude, Braze, a data warehouse, or any other tool, automatically receives attribution context. You can segment users by acquisition channel in your email tool, build funnels by marketing source in your product analytics, and enrich your warehouse with attribution data, all without building custom pipelines.

Yes. Attribution’s Offline Conversion Events feature automatically feeds attribution-weighted conversion data back to Google Ads, Meta Ads, LinkedIn Ads, and Microsoft Ads daily via each platform’s Conversions API. This closes the loop so ad platform algorithms like Google’s Smart Bidding and Meta’s Advantage+ optimize for people who actually converted, not just people who clicked. The key differentiator is control: you choose which attribution model, conversion events, traffic filters, and value method to use. You can send full revenue, attribution-weighted partial credit, a normalized score, or signal only. The ad platform receives what Attribution calculated based on your model, not its own self-serving attribution. Offline Conversion Events is available at no additional cost.

Yes. Attribution tracks individual user journeys and rolls them up under company accounts. When a developer clicks an ad and signs up for a trial, and later a CFO clicks an invite link and enters a credit card, Attribution binds both journeys into one company journey. You can view each individual’s touchpoints separately or see the account-level view that combines them. This means the paid campaigns that acquired the developer get credit for the revenue the CFO generated, because they are part of the same deal. The cohort report and look-forward window also work at the account level, showing when your ad spend breaks even across account cohorts.

Yes, at no additional cost. Attribution tracks user-level cost data and de-duplicated conversions, which are the exact inputs that media mix models and incrementality tests require. Teams can export this data and connect it to an LLM like Claude or ChatGPT for saturation curves, budget reallocation recommendations, and incrementality test design in minutes. Open-source frameworks like Meta Robyn and Google Meridian also work with Attribution’s exported data. Additionally, teams can build data-driven attribution models using an LLM by exporting raw journey data and having the LLM dynamically weight touchpoints based on their actual influence on conversions. Dedicated MMM and incrementality platforms typically cost $50,000 to $200,000 or more per year.