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Most B2B teams cut LinkedIn campaigns after 60 days. The average B2B buyer journey is 272 days. Those two facts don't belong in the same marketing org — but they probably live in yours.

Dreamdata's 2026 LinkedIn Ads Benchmarks Report dropped last week, and the headline stat should make every demand gen lead a little sick to their stomach: the average B2B buyer journey is now 272 days. Not 90. Not 120. Two hundred and seventy-two days from first touch to closed deal.

Meanwhile, the average attribution window most teams use? Sixty days. Sometimes ninety if someone got generous in the platform settings. Which means the majority of your LinkedIn campaigns are being evaluated — and killed — at the 22% mark of the actual buyer journey.

Think about what that does to your decision-making. You run a campaign. It doesn't produce pipeline in the window. Someone on the leadership team asks why you're spending $15k a month on LinkedIn ads that "don't work." You can't defend it with the data you have. The campaign gets cut. Except it was working — you just measured it like it was a flash sale at a retail store.

Here's the part that stings more: Dreamdata found that LinkedIn ads deliver 121% ROAS when measured against a full-cycle timeline. Not 20%. Not break-even. A positive return. But you'll never see that number if your attribution model thinks the sales cycle wraps up before quarter-end.

This isn't a media channel problem. It isn't a creative problem. It's a measurement architecture problem — and it's costing teams real budget because the decisions being made look rational inside a broken system. Sixty-day windows made sense when software bought software fast. That's not B2B in 2026. The pressure from finance to show short-term ROI is real, but the answer isn't to change the channel — it's to change what you report and when. Build the business case for longer measurement windows now, or keep funding the wrong choices.

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✋ 5 LinkedIn Ad Tactics for B2B Marketers
Good tactical breakdown, but read it with the Dreamdata data in hand — these tactics only make sense if you're giving them a runway long enough to matter.

🛝 B2BMX 2026 Keynote: Ashley Faus on Ditching the Funnel for a Marketing Playground
Faus' "playground" framing is provocative — the underlying point is that buyers don't move linearly, which is exactly why a linear attribution window destroys your read on performance.

🤔 Why More CMOs Are Questioning Their Longtime Marketing Stack
The stack scrutiny is real, but before you replace tools, check whether the problem is the tool or how you've configured your attribution. Most of the time it's the latter.

1.Pull your last 12 months of LinkedIn campaign data and re-run it against a 270-day window
Log into your attribution platform and extend the lookback as far back as your data allows. Compare pipeline influenced at 60 days vs. 180 days vs. full cycle. The gap will be uncomfortable — that's the point. Bring that comparison to your next channel review before anyone talks budget cuts. 

2. Create a "committed campaign" tier with a minimum 6-month eval period
Not every campaign needs long-cycle measurement, but top-of-funnel brand and awareness plays on LinkedIn do. Define criteria for what qualifies, document the evaluation timeline before the campaign launches, and get sign-off from leadership. This protects the spend from 90-day panic reviews.

3. Set up a first-touch + multi-touch attribution model in parallel with your current last-touch setup
Most teams run last-touch because it's the default. Running both in parallel costs nothing extra but gives you the ammunition to show leadership what's actually influencing pipeline over time — and it lets you make the case for longer windows with real numbers, not theory.

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