Your archnemesis during QBR prep isn’t necessarily poor numbers.
Sure, an influx of partner-sourced revenue, a healthy lead pipeline and skyrocketing deal sizes would be ideal. But even mediocre numbers can at least be contextualized and explained.
What should send you into a spiral is when a big, honking chunk of your revenue is sitting in an “Other” bucket, totally unaccounted for.
No sooner do you realize you can’t attribute 18 per cent of your revenue than the “Hey, looking at my dashboard rn and I don’t think my commissions are right,” emails start rolling in. Then it's a ticket to IT or a panicked “emergency - PRM is wrong, pls help” Slack to your partner team channel — 24 hours before a QBR.
We sat down with Rafael Oliveira, Group Product Manager at PartnerStack, to understand why revenue leaks happen, what they cost you and how to run a partner attribution audit to find and fix them.
4 common culprits of broken partner attribution
Every partner program and process is different. But if we had to generalize, most attribution troubles come down to one — potentially even all four — of these problems:
1. Ad blockers
Affiliate tracking works by dropping a cookie or pixel through a tracking link or script. Someone clicks, partner gets credit. Simple enough. Until you account for ad blockers, which prevent your tracking mechanism from firing.
Someone clicks, maybe even buys something, but your system didn’t record that the click and sale originally came from a campaign the partner ran. Partner gets upset because they didn’t get proper commission for it.
According to Oliveira, this is something people really underestimate. “If you don’t have proper implementation using custom domains and server-side tracking, there’s a high chance that ad blockers block your partner attribution, and you don’t see the results.”
2. CRM hygiene
Even if there’s nothing wrong with the way you’ve set up your PRM to CRM integration (and there very well could be an issue there), the data flowing through that integration is only as good as the systems on either end of it.
“On the agency, co-sell and resell side, CRM hygiene is a big problem I see. You have to be properly maintaining both systems,” says Oliveira. “If your CRM is a mess, your reporting is inevitably going to be a mess, too.”
Duplicate records, orphaned records, outdated data, inconsistent naming conventions — these particularities aren’t so obvious because they don’t show up as a glaring integration error.
But they can make a big difference when you’re trying to reconcile what you know to be partner-sourced pipeline in your PRM with what the rest of the GTM team is seeing in your CRM.
3. Poor process
“Another misconception is that partner attribution problems arise only from systems. But a lot of times, it’s a process thing,” Oliveira points out.
For example, you need proper policies for channel conflict. You need to make it easy for people to fill out the right fields.
“If the data isn’t there or in the format it needs to be in because someone didn’t put it there, the system can’t do the work it needs to.”
4. Fraud
Every fraudulent sign-up or fake referral counted as partner-sourced revenue is drawing from the same commission pool, attribution credit and reporting that real partners rely on to prove their value.
“More mature partner managers usually have some sort of policy against fraud. How they manage partners, how they add or remove partners based on specific behavior,” Oliveira notes.
This is really critical at scale. In programs that already have hundreds of tech partners, agency partners, and B2B influencers from across the globe, a bunch of signups, a bunch of affiliate clicks won’t feel so weird until you start seeing a bunch of weird numbers at the end of the quarter.
Zoom out, and it’s really just four systems failing you: PRM tracking, CRM hygiene, the integration layer connecting them and the reports built on top of all of it.
Why does partner attribution matter?
Partnerships teams already struggle to get recognition from leadership. Not being able to prove, without a shadow of a doubt, that your partner program is driving revenue (and more specifically, which partners are driving it and how much) makes that uphill battle harder.
As Oliveira puts it: “Every budget decision and every headcount request you make will need to be justified by the revenue you’re driving or influencing.”
“The better your attribution, the more defensible your numbers are and the more you can have that same maturity-level conversation as, say, performance marketing. Confidently saying, ‘Paid ads are running a 2x ROAS while partnerships are running 4x,’ is compelling to leadership.”
Beyond being prepared to stand by your numbers, getting your partner attribution in tip-top shape is a team efficiency and prioritization tool. It gives you a more accurate picture of which partners your team should continue to grow and develop, and which ones might not be worth as much of an investment.
How to do a 30-day partner attribution audit
You don’t have to wait for warning signs to show up. Running this audit before anything looks wrong is the best way to make sure your tracking is set up properly in the first place. Here’s how you could spread that work across a month, from first pull to final ask:
Step 1: Pull your reports (Days 1–3)
Note: These day ranges are a suggested pace, not a fixed schedule — compress or stretch each step as needed to fit your team.
Start with a revenue tracking audit. Download your last month’s worth of revenue data in every system you use. Then, compare them.
“You should see roughly the same numbers in your PRM as your CRM. If you’re not, and it’s not immediately obvious where the problem is, you’re going to need a deeper dive to figure out what might be going on,” Oliveira says.
Step 2: Run through your funnel (Days 4–18)
Oliveira suggests going through the entire funnel yourself to pinpoint the problem(s).
If your partnerships are link-based, make sure:
- Every partner can generate a unique referral link (shared/generic links or coupon codes are fraud waiting to happen; proper fraud signals can help you filter out the illegitimate partners)
- UTMs are automatically added to those links based on partner group (manual tagging undermines UTM governance and introduces inaccuracies)
- Click counts are flowing to downstream systems accurately (if not, that might be an integration problem)
- Signup, customer, and commission counts match between systems (check your server-side tracking)
If your partnerships are not link-based, focus on CRM source taxonomy — the field structure and labeling logic that determines the amount and type of credit a partner gets. Check your PRM and CRM numbers at each stage of a deal to narrow down where the mismatch starts:
- Are your custom deal forms capturing the right information? (Might be time to make a field or two required)
- And is that data being passed correctly to your CRM? (If not, revisit the integration with your admin)
- Are partner-sourced or partner-influenced deals being labeled appropriately in your CRM? (Another reason to get a meeting on the books with your CRM admin)
- Who from your sales team is picking up partner-sourced or partner-influenced opportunities? (If they’re not being routed to the right rep, it’s easy for them to get lost and go stale; this is probably a sales ops issue)
- Are partners being notified when they’ve got a new lead from you? (If not, they might be logging the same one as a deal reg, or just leave them sitting there)
Sourced, influenced, assisted and unattributed partner revenue — what’s the difference?
Getting these labels right in your CRM — and getting your partner influence tracking accurate — could be the difference between a defensible number and a disputed one.
- Sourced revenue: The partner brought the lead in, and closed the deal — full credit, no ambiguity.
- Influenced revenue: This is when the partner touched the deal at some point — think: an intro, a referral, a co-sell assist — but sales closed it independently. Depending on your model, this could call for partial credit, contested credit or a separate reporting bucket.
- Assisted revenue: Similar to influenced revenue, this usually refers to a partner touch that happened after the deal was already in motion. Think: a partner joining a call late-stage to help close, rather than bringing in the opportunity.
- Unattributed partner revenue: Deals where a partner may have been involved, but the tracking, tagging or CRM field didn’t capture it. This is the “Other” bucket — and the bigger it is, the less anyone can trust your reporting.
See more: The partner attribution problem — how to measure sourced vs. influenced revenue.
Step 3: Review your partner operations (Days 19–24)
The tricky thing with partner attribution is that it feels like no one truly owns it. “The challenge is that several partner teams don’t have partner operations, especially when you’re first building your program. It’s like a one-person show,” Oliveira explains.
Most one-person shows rely on IT to get the PRM-CRM integration stood up and then tack on workarounds or invent new hacky processes as the program grows. But eventually, that shaky foundation mixed with all those add-ons gets tough to reconcile.
“You depend on so many people to get everything set up properly, and go for shortcuts just to get the program up and running quickly,” says Oliveira. “But that’s typically where we start to see attribution leaks.”
Even if you can’t afford a partner operations person right now, you do need clear ownership:
- Who is in charge of periodically looking at PRM-CRM integration errors?
- Who is responsible for drafting and enforcing the channel conflict policy?
- Who signs off on a partner being flagged for suspicious activity and decides whether they should be removed from the program?
- Who keeps partners informed when something changes (a new required field, an updated commission rule) so they’re not operating off stale information?
If you don’t, it’s probably time to bring in a dedicated partner ops hire or even a part-time consultant. Otherwise, issues will continue to pile up, and by the time you notice, it might be too late to fix before your next QBR.
Step 4: Use AI and automation where it makes sense (Days 25–27)
If you’ve discovered a time-consuming, manual part of your workflow, explore the automation capabilities your tech stack already has. “I’ve been happy to see more companies enabling reps to do less work and just leverage AI to get things right in the CRM,” Oliveira shares.
PartnerStack’s CRM integration is built to accommodate complex, custom workflows, so it can match your program rather than forcing you to change your setup.
“We have built our CRM integration to be very flexible. It can support different objects, different rules, different fields, and custom attribution rules. Like a rule where you can’t create a lead unless it’s already assigned to a salesperson,” says Oliveira.
The less manual work your tracking depends on, the fewer chances there are for partner attribution to break down — and the easier it’ll be to pull fully reconciled numbers that you can trust.
Step 5: Quantify what you need (Days 28–30)
By now, you’ve identified your partner attribution gaps and have an idea of what it takes to plug them. But spidey senses aren’t going to get you the approval and budget you need to make it happen.
Put cold, hard numbers to every leak you found.
“Are you losing 20 per cent of attribution because of this? 30 per cent? You want to quantify how much it’s limiting your growth. How much more revenue could you drive with the right resources?” Oliveira advises.
Just be sure you can back it up. Oliveira emphasizes: “In the era of AI, execs are getting more skeptical. Even if you’re using Claude or ChatGPT to help digest your data, find solutions, and estimate the cost, there has to be an audit trail. A way to prove that the output is right.”
Continuously validate your process
The best version of a partner attribution audit is one you never have to run in full. Getting partner attribution right from the jump and making small tweaks along the way saves you from a messy, expensive overhaul down the line.
PartnerStack is built to make partner attribution a non-issue, complete with custom domains and server-side tracking to beat ad blockers, flexible CRM integrations to match your unique program, and fraud detection that filters out illegitimate partners before they eat into real partners’ commissions.
Talk to our team to see what airtight attribution in PartnerStack could look like.
Related: How partner leaders can help marketing win AI visibility and prove AEO ROI.
