Built for B2B SaaS
B2B attribution fails for a boring reason: the deal closes long after the platform stopped counting, in a system the platform cannot see. Attribi keeps the click identifier on the record for the whole cycle, reads the stage transitions out of your CRM, and reports cost per opportunity and cost per closed-won deal by campaign. It does not model, estimate or infer any of it.
No credit card required · 5-minute setup
Cost per MQL is available weekly, so it becomes the metric, so campaigns get optimized toward it. Cost per closed-won arrives two quarters later, if at all, and by then it belongs to a version of the account that no longer exists. Teams end up managing the one number they can see, knowing it is the wrong one.
Marketing reports platform conversions. Sales reports the CRM. The gap between them is the entire argument, it recurs every quarter, and it is never settled because neither side can show their working in the other side system. The meeting is about whose data is real rather than about which campaigns to fund.
A ninety-day window on a two-hundred-day cycle means the campaign that generated the opportunity is invisible by the time it converts. What gets the credit is whatever the buyer saw most recently, which is usually brand search or retargeting, so the channels that actually create demand look like the ones that waste money.
The person who fills the demo form is rarely the economic buyer and often not even the first person from that company to visit. Person-level tracking sees six separate individuals, and the buying committee that is obvious to your sales team is invisible in the analytics.
Attribi records which ad click produced a visitor, writes it into your CRM as a field on the lead, and keeps it. There is no window. When your CRM marks a deal closed-won two hundred days later, the campaign that produced the original lead is still attached to it, and the report is built from that rather than from whatever the platform still remembers.
HubSpot and Salesforce tell Attribi when a lead becomes qualified and when a deal is won. Salesforce won-stage detection reads the flag Salesforce itself sets, so a renamed stage still works, and HubSpot detection is structural in the same way. Cost per qualified lead and cost per closed-won deal are your CRM stages, restated by campaign, which is why sales and marketing stop arguing about which export is right.
Both stages are uploaded to your connected ad accounts as conversions with the deal value attached, matched on click identifier and on hashed email and phone. The platforms then report on pipeline outcomes rather than form fills. Changing what a campaign bids toward is a separate, deliberate step you take, not something the upload does on its own.
When your cycle is long, closed-won deals accumulate too slowly to be a useful optimization signal, and pretending otherwise wastes a quarter. Attribi works out whether an account has enough of a given outcome for that outcome to be worth optimizing toward, and stops at qualified leads when closed-won is never going to arrive fast enough. For most B2B accounts qualified is the last stage that happens often enough to be worth using.
The gaps that matter most for this audience, so you can weigh them before you sign up rather than discover them afterwards.
Attribi has no intent feed, no reverse IP-to-company lookup and no account object. It works from records your systems create, which means it can tell you the campaign behind a lead, an opportunity and a deal, and cannot tell you that four people from one target account have been reading your pricing page. If your motion is account-based and your team already runs an intent platform, Attribi sits alongside it rather than replacing it.
Everything here is deterministic and record-level: this click produced this lead which became this deal. There is no statistical model of channel contribution, no geo holdout or lift testing, and no way to answer what would have happened if you had not run a channel at all. Larger teams often want both approaches; Attribi is only one of them.
Our Salesforce revenue import matches deals on email and phone rather than on the click identifier, because of where the attribution fields sit on the Salesforce object model. With the tracking script on your site that does not matter, since click identifiers come from real page visits instead. Without it, and if your Google Ads account has not accepted Google Enhanced Conversions terms, an upload can end up with nothing left to match on. It is a two-minute acceptance in your own Google Ads settings and worth confirming before you start.
LinkedIn gets your qualified and closed-won conversions and its spend imports daily, so the outcomes are visible in the platform and you can change what a campaign optimizes toward yourself. What Attribi does not do is make that change for you on LinkedIn, which it can do on Google Ads and Meta. For a B2B team that spends most of its budget on LinkedIn, that is the part of the workflow that stays manual.
Multi-touch reports offer first touch, last touch, linear and a position-weighted curve. That curve is a fixed formula applied to your journeys; it is not a model trained on your own conversion patterns, and calling it data-driven without saying so would be overselling it. First and last touch are exact, and most teams find the honest comparison between them more useful than a weighting nobody can explain in a meeting.
These are the connections we recommend for b2b saas, not a list of everything Attribi connects to.
Ad platform
Google Ads offline conversion tracking: send qualified leads and closed-won revenue from your CRM, so your account sees CRM-verified outcomes, not just form fills.
Ad platform
Upload closed-won revenue from your CRM to LinkedIn through the Conversions API, so long B2B sales cycles show up in the campaigns that started them.
Ad platform
Meta Conversions API for CRM: send qualified leads and closed-won revenue from your CRM to Meta server side, with hashed email, phone, and Instant Form lead IDs.
CRM
HubSpot ad attribution in both directions: campaign data is written onto the contact your reps already read, and closed deal revenue is pulled back out.
CRM
Salesforce offline conversion tracking: won Opportunities upload to your ad platforms as revenue, matched on email and phone, using your own stage names.
CRM
Pipedrive attribution that reads won deals by status rather than stage name, uploads the deal value to your ad platforms, and writes campaign data on the person.
Attribution accuracy
Your ad platform counts the form fills its pixel saw. Your CRM knows which of them became revenue. The Truth Gap measures the distance.
Optimization targets
Your campaigns bid on form fills. Attribi works out when your qualified leads and closed-won deals can carry the bidding instead, and switches on your click.
Closing the loop
Send qualified leads and closed-won revenue from your CRM to Google, Meta, LinkedIn, TikTok, Microsoft and Snapchat, automatically, with no spreadsheet uploads.
The match itself does not degrade: the click identifier is stored on the record and stays there, so a deal that closes in month twelve is still attributed to the campaign that produced it. What a very long cycle does change is optimization. Closed-won deals will probably never accumulate fast enough to be a sensible thing for a campaign to bid toward, so Attribi stops at qualified leads rather than waiting forever for a stage that is not coming. For most B2B accounts qualified leads are the right destination anyway, because that is the last stage that happens often enough for an auction to learn from.
No. It attributes people and deals, not accounts. If six people from one company each arrive from a different campaign, you will see six journeys and, when your CRM produces one deal, that deal is attributed to the record it is attached to. There is no account roll-up, no buying-committee view and no intent data. For enterprise ABM programmes this is a real gap and we would rather name it here.
No, and it is deliberately built the other way round. Your CRM stays the source of truth for what happened to a deal; Attribi adds the one thing the CRM does not know, which is which ad click produced the person in the first place, and then reports your own stages by campaign and by cost. If Attribi and your CRM ever disagree about whether a deal is won, the CRM is right and that is a bug on our side.
Not on its own, and anyone who tells you otherwise is selling. Uploading a conversion puts the outcome into the platform reporting and nothing more. What a campaign bids toward only changes when someone decides it should: either by making that conversion the goal a campaign optimizes toward, or by moving the target down the funnel deliberately. Attribi can do the second of those for you on Google Ads and Meta, and only after you click.
Yes for measurement and yes for feeding outcomes back, since LinkedIn takes per-stage conversions properly and its spend imports daily, so you get real cost per opportunity by campaign. The part you should discount is automation: Attribi will not change what a LinkedIn campaign optimizes toward for you, only on Google Ads and Meta. If LinkedIn is most of your spend, treat this as a reporting and feedback tool rather than an optimization one.
Updated
Connect your ad platforms and your CRM, and read the answer from your own account.
Start FreeNo credit card · Free forever up to 1,000 visitors