A survey of 400 marketing and communications leaders across the U.S., U.K., France, and Germany found that only 49% are very confident in the accuracy and completeness of the data shaping their budgets. The study, "The Communications ROI Reset" from 10Fold, published in August 2026, lands when marketing budgets sit at about 7.8% of company revenue (per Gartner's 2026 CMO Spend Survey) and the share of GTM budget flowing to pipeline-generating activities has climbed to 68%, up from 41% in 2023. Tighter budgets, higher pipeline expectations, and data nobody fully believes in. That's the operating environment.

The Integration Gap Is the Trust Gap

Teams aren't short on data sources. According to the 10Fold study, 67% pull from website analytics, 67% from social analytics, 63% from CRM, and 58% from marketing automation. The problem is assembly. Only 35% have fully integrated reporting across earned media, paid social, content, and digital channels. Another 18% have integrated reporting but with unclear or inconsistent attribution. And 37% still rely on manual spreadsheets to stitch the picture together.

More than a third of B2B marketing teams are copying data into spreadsheets to inform decisions about where millions of dollars go. When the connective tissue between systems is a VLOOKUP, confidence erodes fast.

Disconnected reporting creates a specific behavioral distortion: teams fund what's easiest to defend internally. Last-click-friendly channels get budget because their numbers are clean and legible in a slide deck. Longer-cycle demand creation programs (the ones that actually build qualified pipeline over a 6-to-9-month buying cycle) get starved because their attribution story requires stitching together signals from systems that don't talk to each other.

Executives Want Revenue Linkage They Can't Get

The 10Fold study confirms what most demand gen leaders already feel in budget meetings: revenue impact is the metric CEOs and boards trust most (34%), followed by pipeline influence (16%). Share of voice comes in at 11%. The C-suite wants to see the line from spend to revenue. The gap is mechanical, not motivational.

Multi-touch attribution is the most common method for connecting communications to outcomes, used by 43% of respondents. Another 25% rely on correlation or directional analysis. Both require governed, unified data to produce results anyone will stake a budget on. When 51% of respondents can't confirm they're very confident in their underlying data, multi-touch models are running on a shaky foundation. The model's output inherits every gap in the inputs.

AI visibility adds another measurement layer. The study found 54% already measure AI search visibility or brand citations in AI-generated content, and 46% include AI visibility in C-suite reporting. That's a new signal competing for attention in a reporting stack that can't yet connect existing signals reliably. Adding metrics before fixing the plumbing doesn't improve confidence. It dilutes it.

The Downstream Cost Nobody Budgets For

Data trust isn't only an internal measurement problem. Informa Tech's 2023 Trust in Marketing Index found that 41% of B2B technology decision-makers who were incorrectly targeted or spammed said they would not buy from that brand. Seventy-one percent reported being disappointed by gated content. Bad data doesn't just misallocate budget; it actively damages the pipeline you're trying to build.

The AI angle makes this worse. LeanData reports that 55% of GTM teams cite data quality as AI's biggest blocker, and 94% say their GTM infrastructure isn't AI-ready. If your data isn't trustworthy enough for humans to make budget decisions, it's not trustworthy enough to hand to an algorithm for automated pipeline scoring or personalization at scale. The failure mode isn't subtle: mistargeting at machine speed.

What Decision-Grade Confidence Actually Requires

Some distrust is rational. B2B buying journeys are multi-touch and long-cycle, so no single attribution model will ever be perfectly complete. The goal isn't perfect data. It's decision-grade confidence: data accurate enough, unified enough, and governed enough that stakeholders will act on it rather than default to gut feel or last year's allocation.

That means unified reporting across channels with a shared methodology, not four dashboards with four definitions of "influenced pipeline." Clear ownership and SLAs for data quality with a validation cadence, not a one-time cleanup project. Raw data access so finance and RevOps can audit the numbers. And honest labeling: this metric is directional, that one is causal, here's the holdout we'd need to run to tell the difference.

The 10Fold study shows 48% of teams now track leads or conversions influenced by earned media, slightly more than the 45% tracking placement counts. That's movement in the right direction. But tracking a metric and trusting it enough to shift seven figures of budget are different problems. The first is a dashboard task. The second is a governance commitment.

Gartner's budget trend tells the story in miniature: marketing spend dropped from 9.1% of revenue in 2023 to 7.7% in 2024, settling at 7.8% in 2026. Every percentage point now carries more scrutiny. The teams that build a reporting stack their CFO can interrogate and believe will hold budget. The ones still copying numbers between spreadsheets and hoping the story holds together in the boardroom won't. Not because the data doesn't exist, but because nobody trusts it enough to act on it.