Marketing attribution software that shows what drives revenue

Marketing attribution software is a category of analytics tool that connects every marketing touchpoint (ad clicks, organic visits, content reads, form fills, demo bookings) to the leads, customers, and revenue they produce. SourceLoop is marketing attribution software built around a first-party dataset, every visit gets stitched to a person, every person to a deal, and every deal to revenue, so you can see exactly which channels, campaigns, and content pieces moved pipeline.

GA4 only sees what visitors do on your website, in 90-day windows, with cookie-based identifiers that break across browsers. SourceLoop ties every visit to a person, persists data beyond 90 days, captures conversions from forms / chat / meetings / payments, and rolls up to closed revenue from your CRM and billing tool. That's three categories of data GA4 doesn't have.

Tools like Bizible, Dreamdata, or HockeyStack do the same job at $30k–$200k/year with multi-quarter rollouts. SourceLoop ships the same multi-touch attribution, person-level identity, and CRM/ad-platform sync at a fraction of the cost, with a setup measured in hours.

Yes. We persist the visitor's first-touch, every campaign, and every click ID in a first-party cookie that survives across sessions and devices wherever browser-storage rules allow. When a deal closes six months after the original LinkedIn click, the click is still attached.

Yes. When UTMs are missing, we attribute using referrer data, landing-page heuristics, and known dark-social patterns (long-form posts, slack/email links, app referrals). Direct traffic gets enriched with prior-session signals so you don't end up with 60% of revenue showing as 'Direct'.

Yes. Native two-way sync with HubSpot, Salesforce, Pipedrive, Close, ActiveCampaign, and others. Ad-platform OAuth into Google Ads, Meta Ads, LinkedIn Ads, and Microsoft Ads pulls spend in and pushes attributed conversions out.

Yes, and this is the main thing that separates SourceLoop from most attribution tools, which stop at the form fill. The source travels with the person into HubSpot, Salesforce, or Pipedrive and stays attached as they move through Lead, MQL, SQL, and Opportunity. It stays attached to the deal itself, so you can see closed-won and closed-lost by campaign. And it stays attached through billing, so Stripe payments, trials, renewals, and lifetime value are all attributable to the campaign that started them. That means you can answer which channel produces revenue that sticks, rather than which channel produces the most form fills.

More accurate than ad-platform reporting, and not perfect. SourceLoop measures deterministically wherever a real signal exists: ad clicks carrying GCLID, GBRAID, WBRAID, FBCLID or MSCLKID, UTM-tagged links, referrers, and every form, booking, chat, call and payment on your own site, plus everything in your CRM and billing tool. Where no signal exists, we model and label it as modelled rather than passing it off as measured. The honest limits are cross-device journeys before someone identifies themselves, visits from apps and privacy browsers that strip the referrer, and sessions where consent was declined. Any vendor telling you they capture 100% is not being straight with you.

Partly, and it improves the moment someone identifies themselves. An anonymous visit on a phone and a later visit on a laptop can look like two people until one of them fills a form, books a meeting, or logs in. At that point we stitch the sessions to one person and backdate the touches, so the original ad click is credited correctly. We also stitch people to their company, which matters for a B2B buying committee where one colleague clicks the ad and a different one signs the contract.

Deterministic attribution means a real, observed signal connects the touch to the person, such as a click ID on the ad click or a UTM on the link they followed. Modelled attribution means the connection is inferred from patterns when no such signal survived. Most tools blend the two and report a single confident-looking number. SourceLoop keeps them separate so you know which parts of a report are measured and which are estimated.

Yes, and SourceLoop was built that way from the start. We never rely on third-party cookies, which Safari and Firefox have blocked for years and Chrome restricts. Attribution runs on your own first-party data, collected on your own domain, so it keeps working as browsers tighten tracking rules.

Yes. SourceLoop runs on first-party data you own, honours consent choices, and supports data-deletion requests. We sign a DPA, and you can review our subprocessors. Because the data stays yours rather than being pooled into a third-party ad network, the compliance story is materially simpler than pixel-based tracking.

Ad platforms count conversions they believe they caused, including view-throughs where someone saw an ad and never clicked it. They also count the same customer separately in each platform, so Google and Meta both claim the same sale. SourceLoop counts each customer once and attributes them to the touches that actually happened. The result is usually a lower, more honest number, and the gap between the two is the amount of double-counting in your current reporting.

SourceLoop has a free 7-day trial, and paid plans start well below enterprise attribution platforms. Genuinely free attribution tools exist but nearly all of them are single-touch and website-only, which means they can't tie a deal back to the campaign that started it. That limitation is usually what sends people looking for a paid tool in the first place.