LinkedIn Revenue Attribution Report: what it shows, how to set it up and why it matters for B2B

The Revenue Attribution Report is LinkedIn's native report for tying ad engagement to CRM outcomes. LinkedIn describes it as a way to measure how LinkedIn marketing influences sales results using your own CRM data, and lists revenue won, ROAS and pipeline as its headline metrics.

Most people look for it in Campaign Manager, but it sits in Business Manager, the layer above your ad accounts and pages. That placement matters. The report works across the ad accounts and pages you add to Business Manager and reads opportunities from one connected CRM, so it shows the whole LinkedIn program rather than one campaign group.

LinkedIn's product page names three CRM integrations: Salesforce (Sales Cloud), HubSpot and Microsoft Dynamics 365. Each connects through a partner integration; check LinkedIn’s Help Center for current availability in your region.

It is different from what most teams already have. Our article on LinkedIn Ads reporting on pipeline and revenue covers the CRM side: capturing campaign data on every lead and reporting cost per stage. RAR comes at the problem from the other direction. LinkedIn matches the people and companies in your opportunities to the people and companies that saw or engaged with your ads, including those who never clicked.

LinkedIn's pages and customer quotes describe a consistent set of metrics, all calculated only on opportunities that LinkedIn influenced:

• Pipeline: the value of open opportunities influenced by LinkedIn ads.
• Revenue won: the value of closed-won opportunities influenced by LinkedIn.
• ROAS: revenue won relative to LinkedIn ad spend.
• Opportunity win rate, average deal size and average days to close for influenced deals.
• Influenced leads, opportunities and closed-won counts, plus funnel metrics and performance over time.

LinkedIn's Pressroom adds that the report shows the account-level impact of campaigns on sales metrics, and in February 2025 said it had started testing a view of how customers engaged with a campaign before it contributed to revenue. Check your own Business Manager for which of these views is live in your region.

Notice what is missing: no claim that LinkedIn caused the deal. LinkedIn's product page quotes customers who saw larger deals and higher close rates on LinkedIn-influenced opportunities. Those are customer anecdotes, comparing groups that may differ for reasons unrelated to ads. Treat the comparison as a question to test, not a result to present.

RAR uses an any-touch model. If a contact tied to an opportunity, or the account behind it, engaged with or was served your LinkedIn ads within the lookback window, the whole opportunity counts as LinkedIn-influenced. One of LinkedIn's featured customers describes it as tied to impressions, not only to clicks. That is the right lens for B2B: buyers often see several ads, never click, and later arrive through search or a sales email.

The lookback window is the period before the opportunity during which a touch counts. In February 2025 LinkedIn announced a 365-day lookback window in RAR, specifically to capture long B2B sales cycles. Confirm the lookback window against your median cycle, write it down, and keep it fixed. Changing the window between quarters changes the numbers more than any campaign will.

Any-touch has one large consequence. The same opportunity can also be fully credited by your search, events and outbound reports. Add every channel's influenced pipeline together and you will exceed your real pipeline several times over. That is what influence reporting means, and why RAR needs a second view next to it.

• A Business Manager account with your ad accounts and pages added. LinkedIn recommends that admins be senior leaders who oversee strategy, since they control which assets and people are inside.
• A supported CRM (Salesforce Sales Cloud, HubSpot or Microsoft Dynamics 365) and a CRM user whose permissions meet LinkedIn's prerequisite checklist. We recommend a dedicated integration user so the sync does not break when a person leaves or a password expires.
• Clean opportunity data. RAR can only credit what it can match, so opportunities need contacts or accounts associated with them, and amounts and close dates need to be filled in.
• Matching on LinkedIn members and companies. Contacts whose email or company LinkedIn cannot match will not show influence, so coverage will always be below 100% of your pipeline.
• Aggregated reporting. RAR reports totals and rates, not a row per person who saw an ad. The official pages we reviewed do not publish a minimum volume, so treat small numbers (a handful of deals in a quarter) as directional.
• Time to populate. Expect a delay between connecting the CRM and seeing data, and confirm in the Help Center which opportunity field and stages RAR reads.

These three are often confused because all of them mention revenue. They answer different questions, and a mature LinkedIn program uses all three.

Microsoft Learn documents the Conversions API as a way to stream conversion events from your server so LinkedIn can measure and optimize campaigns regardless of where the conversion happens. Events need at least one matchable identifier, such as a SHA-256 hashed email, and only matched events can be used for attribution and optimization. Post-click windows for lead and qualified-lead conversions go up to 365 days. LinkedIn's Pressroom says CAPI also lets you optimize lead generation campaigns for MQLs or SQLs instead of raw leads.

In practice: CAPI changes what LinkedIn optimizes toward, RAR tells leadership what LinkedIn touched, and your CRM model decides how credit is split across channels. If you are still choosing that CRM model, our guide to HubSpot attribution models explains which one fits a long, multi-person cycle.

B2B buying is slow and shared. A deal can take most of a year and involve several people who never fill in a form. Click-based reporting misses most of that, so LinkedIn usually looks expensive on cost per lead and under-credited on pipeline. RAR is the first native view that counts the committee members who only saw the ads.

It also changes the conversation with finance. A CFO does not budget on click-through rate. ROAS, win rate, deal size and days to close are numbers finance already uses, read from the CRM finance already trusts. In February 2025 LinkedIn reported that 78% of B2B CMOs said proving campaign ROI had become more important over the previous two years, and that nearly two in five B2B marketers struggle to translate marketing’s value for the C-suite.

Finally, it defends budget at the moment it is most exposed. When spend is cut, channels with long cycles and little last-touch credit go first. An influence view, read honestly next to sourced pipeline and a holdout, lets you show what LinkedIn is doing for open pipeline before the cut, not two quarters later.

1. Create or activate Business Manager and add every ad account and page that runs your B2B program, so the report covers the full program.
2. Agree definitions with RevOps first: which opportunity types count (new business only, or renewals too), which stage is pipeline, and which currency field holds the amount.
3. Prepare the CRM: a dedicated integration user with the permissions on LinkedIn's prerequisite checklist, contacts and accounts associated with opportunities, and close dates filled in.
4. In Business Manager, open the Revenue Attribution Report tab and connect Salesforce, HubSpot or Dynamics 365 with the integration user's credentials.
5. Wait for the first sync, then confirm the opportunity field and settings the report uses, and confirm the lookback window against your median sales cycle.
6. Reconcile one quarter: take total pipeline from the CRM, compare it with RAR influenced pipeline, and spot-check ten influenced deals with sales to see whether the touches are believable.
7. Set up the Conversions API for qualified lead and opportunity events, so delivery optimizes toward the same outcomes RAR reports.
8. Add RAR to the monthly report with its window and model written next to every number.

Most failed setups trace back to step 3, not to LinkedIn. If opportunities have no contacts attached, or source fields are empty, fix that first. Our free pipeline attribution readiness checklist covers the fields, stages and source rules for HubSpot and Salesforce.

We read RAR as the upper bound of LinkedIn's contribution, and CRM sourced pipeline as the lower bound. The truth sits between them, and a holdout tells you where.

Three habits keep it honest. First, report influenced pipeline as a share of total pipeline, never as a standalone total, and never add it to other channels' influenced numbers. Second, compare influenced deals with non-influenced deals of the same size and segment, because LinkedIn is usually aimed at your best-fit accounts, which close better anyway. Third, run an account holdout: exclude a matched random group of target accounts from LinkedIn for a full cycle and compare opportunity creation between the two groups. That is the only one of the three that measures lift rather than overlap.

Add a "how did you hear about us" field to demo forms as well. This kind of self-reported attribution catches the podcast, the peer and the post that no tracking sees, and when buyers name LinkedIn unprompted it backs up RAR.

If you want a team that runs LinkedIn against pipeline rather than clicks, our LinkedIn Ads services include RAR and Conversions API setup, the CRM fixes behind them and a monthly report finance can sign off. To see what RAR would show for your program before you connect it, talk to our team.