“I know marketing’s working. I just can’t prove it.”
Someone reads your posts, sees you on LinkedIn, asks a peer about you — then fills out a form, and your CRM hands 100% of the credit to that last click. Everything before it disappears. Below is exactly how we’d trace the influence your reporting is throwing away, so you can defend the budget with a number that’s actually true. No pitch — you can run most of this yourself.
- Read a post invisible
- Saw you on LinkedIn invisible
- Asked a peer invisible
- Filled the demo form 100% of the credit
If this is you, it’s nearly everyone: industry surveys put ~90% of B2B teams on oversimplified (usually last-click) attribution, and only ~22% feel confident measuring full-funnel ROI. (CaliberMind / RevSure, 2025.)
How we’d audit your attribution
This is the actual teardown — not a teaser. If you did nothing but read the next four steps and check them against your own account this week, you’d catch most of what’s hiding your real influence.
1 What we look at
- How your conversions are defined and valued — does a raw form fill count the same as a sales-qualified opportunity? If a lead and an opp are worth the same in the pixel, the algorithm can’t tell them apart, and neither can your report.
- Whether conversion data is siloed per campaign or shared at the account level.
- Whether anything from your CRM — opportunities, won deals — flows back to the ad platforms, or the loop just dead-ends at the form.
- What model your CRM defaults to (almost always last-click), and every touch it’s quietly deleting: the post someone read, the LinkedIn view, the peer referral, the event.
2 What we typically find
Nine times out of ten, the plumbing is the problem — not the marketing. A recent account (an accounting / practice-management SaaS, name stripped) is a clean example.
Anonymized audit · B2B SaaS · ~$40k/yr spend, $25/day caps
- Values were flat. A lead was worth $5 in the pixel; an opportunity $10. No real signal — so the algorithm optimized toward whichever was cheapest.
- Conversions were siloed. Locked to individual campaigns instead of shared account-wide, so nothing learned from anything else.
- Last click took the credit. On paper, paid looked like it barely moved the needle.
- Then we traced it through. Multi-touch flipped the picture: paid had influenced ~$80k of revenue on ~$40k of spend — roughly 2× — on $25/day caps. First-touch reporting valued that same contribution at basically $0.
That gap — ~$0 on the report, ~$80k in reality — is the exact thing that makes a marketing leader feel unable to defend the budget.
3 What we changed
- Scaled the values so they mean something: leads worth $50–100, opportunities $500–1,000 — so the platform chases opportunities, not $5 form-fills.
- Fed the CRM back into the loop: opportunities and won deals reported to the ad platforms as offline conversions.
- Moved conversions to account-level sharing and added early signals (form starts, engaged scroll, demo-page views) so there’s enough data to actually learn from.
- Put a multi-touch read next to the last-click one — so influence stops vanishing between the first post someone reads and the form they finally fill.
4 What happens next — and why it eases this exact pain
- The algorithm starts optimizing toward real pipeline instead of the cheapest click.
- And the part that fixes your problem: you can finally show the board the whole picture — the ~$80k paid actually influenced, not the near-zero last-click number. When the budget conversation comes, you’re defending it with a number that’s true, not a gut feeling.
You don’t need us to start. Differentiate your conversion values, feed your CRM data back, and look at multi-touch alongside last-click — that alone will surface influence you’re currently deleting.
This is 1 of 7 things we check
Attribution is one line item on the audit. Here’s the whole scope — the seven things we tear down on every B2B SaaS account. Odds are you felt more than one of these this quarter.
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“I pay more every year and get less.”
“Generic ads on Google or LinkedIn no longer work, unless you can spend huge amounts of money on testing.”
— jwr, Hacker News
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“My CPL looks great — the leads are garbage.”
“You’re trying to fill a bucket that has no bottom.”
— Tony Dowling
- You’re reading this one
“I know it’s working — I just can’t prove it.”
“People might read our content, attend an event, see us on LinkedIn, talk to a partner, and only then reach out to sales. But in the CRM, all that early influence tends to disappear.”
— Andrei Zinkevich & Vladimir Blagojevic, Full-Funnel
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“The board wants pipeline this quarter — my deals take 9 months.”
“The pressure isn’t just to perform. It’s to predict.”
— Evan Hughes
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“I’m the strategist AND the ad buyer AND the analyst AND the copywriter.”
“Marketing folks are being asked to be brand thinkers, data analysts, ad buyers, SEO experts, copywriters, GTM architects and sometimes SDR managers.”
— Evan Hughes
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“LinkedIn eats my budget and hands me tire-kickers.”
“LinkedIn is the most expensive place to advertise in B2B, and it punishes sloppy execution faster than any ad platform I know.”
— Neal Schaffer
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“I’ve been burned by an agency before.”
“Most content marketing programs don’t actually generate customers.”
— Devesh Khanal & Benji Hyam, Grow & Convert
Here’s the reframe: you don’t have a marketing problem — you have a measurement problem. And we’ll fix the measurement for you, on your actual account, for free.
We’ll run this entire audit on your account — free.
All seven checks, on your real data. I build it by hand over about 72 hours — no AI, no junior, no obligation — and send back 10–15 pages of specific fixes with screenshots and real examples.
- Built by hand — the senior operator who’d run your account
- ~72 hours, then a plain walkthrough of what we found
- Useful even if we never work together