Ninety-five percent of the time, the winning vendor is already on the buyer's shortlist before they ever type a search query. That's not a marketing theory; it's the headline finding from 6sense's 2025 B2B Buyer Experience Report, based on nearly 4,000 global buyers. The follow-up data is worse: 80% of deals are won by the vendor the buyer preferred before first contact. Not the vendor with the best demo. Not the one with the lowest price. The one they already trusted.
If your demand capture strategy starts with Google Ads, you're optimizing the wrong 5% of the funnel.
The Math Your CFO Needs to See
The 95-5 rule, developed by Professor John Dawes at the Ehrenberg-Bass Institute and popularized by LinkedIn's B2B Institute, quantifies what experienced operators already sense: at any given time, only about 5% of your addressable market is actively buying. The other 95% will buy eventually, just not this quarter. And when they do enter the market, they'll already have a mental shortlist of vendors they trust.
This creates a structural problem for demand capture budgets. Google Ads excels at capturing intent from buyers who are actively searching. But if those buyers have already formed preferences, you're bidding for the privilege of being considered alongside vendors they've already decided to trust. Your cost-per-click is high, your conversion rates are compressed, and your CAC payback stretches because you're fighting for second place.
Forrester's 2026 State of Business Buying confirms the committee complexity: the typical B2B purchase now involves 13 internal stakeholders and 9 external influencers. Each of those people brings their own vendor preferences into the room. If your brand isn't already in their mental consideration set, you're not just selling to one skeptic; you're selling to a committee of skeptics who've already heard of your competitors.
LinkedIn Builds the Shortlist; Google Captures the Search
The highest-performing B2B teams don't choose between brand building and demand capture. They sequence them. LinkedIn creates the conditions for Google to work.
Here's the operating model: LinkedIn targets the 95% who aren't buying today but will be buying in 6, 12, or 18 months. Thought leadership, case studies, and executive content build mental availability. When those buyers eventually enter the market and search Google for solutions, your brand is already on their shortlist. Google captures the demand that LinkedIn created.
The reverse doesn't work. You can't capture demand that doesn't exist. And you can't build trust with a search ad.
NAV43's full-funnel framework maps this sequencing explicitly: LinkedIn for shortlist building, Google for demand capture, with attribution designed for buyer journeys that stretch to 272 days. The framework acknowledges what most B2B marketers resist: the buyer journey is long, and the influence window is early.
Budget Allocation: A Starting Framework
The question every CFO asks: how do I split budget between brand building and demand capture? The honest answer is that it depends on your sales cycle length, but here's a starting framework based on the research.
For sales cycles under 90 days, weight toward demand capture (60-70% Google, 30-40% LinkedIn). Buyers move fast, and you need to be present when they search. For sales cycles between 90 and 180 days, balance the split (50-50 or 55-45 toward LinkedIn). The longer cycle gives brand building time to compound. For sales cycles over 180 days, weight toward brand building (60-70% LinkedIn, 30-40% Google). The math is simple: if buyers take 6+ months to decide, and they form preferences early, you need to be building mental availability long before they search.
2026 benchmark data shows ABM-led programs generating 2.6x more pipeline per marketing dollar than broad-reach demand gen, with 41% higher win rates. The efficiency gains come from targeting accounts before they enter the market, not after.
Attribution for the Long Game
The hardest part of this model is measurement. LinkedIn influence doesn't show up in last-click attribution. A buyer who saw your CEO's thought leadership post six months ago and then searched your brand name on Google will attribute to Google in most CRM setups. The brand investment looks like waste; the demand capture looks like genius.
This is a measurement failure, not a strategy failure.
6sense's research on buyer behavior shows that 94% of buyers now use LLMs during their buying journey, but they maintain the same number of interactions with vendors as before AI tools became widespread: 16 interactions per person with the winning vendor. The touchpoints haven't decreased; they've just become harder to track.
The fix is multi-touch attribution with appropriate lookback windows. For enterprise sales cycles, 180-day or 365-day lookback windows are not aggressive; they're realistic. Self-reported attribution ("How did you hear about us?") captures the brand influence that digital tracking misses. And pipeline velocity metrics, time from first touch to closed-won, reveal whether brand investment is shortening cycles even when it doesn't show up in last-click reports.
The Pilot Design
If you're running a demand-capture-only strategy and want to test the full-funnel model, here's a 90-day pilot structure.
Weeks 1-2: Establish baseline metrics. Document current CAC, pipeline velocity, and win rates by source. Identify 2-3 target account segments for the pilot.
Weeks 3-8: Run LinkedIn thought leadership campaigns to the target segments. Focus on executive-level content that addresses category problems, not product features. Track engagement and profile views, but don't expect pipeline impact yet.
Weeks 9-12: Measure changes in branded search volume, direct traffic, and inbound quality from the target segments. Compare pipeline velocity and win rates against baseline.
The hypothesis to test: LinkedIn investment increases branded search volume and improves conversion rates on Google demand capture campaigns. If the hypothesis holds, the combined CAC should be lower than demand-capture-only, even though you're spending more on brand.
Risks and Mitigations
The primary risk is patience. Brand building takes time to compound, and most B2B marketing teams are measured quarterly. If your CFO expects pipeline impact in 30 days, this model will fail the political test before it passes the math test.
Mitigation: set expectations explicitly. Brand investment is a 6-12 month bet. Demand capture is a 30-90 day bet. Both are necessary, but they operate on different timelines. Report them separately, with appropriate lookback windows for each.
The secondary risk is execution quality. LinkedIn thought leadership that reads like product marketing won't build mental availability. It needs to address category problems, share genuine expertise, and resist the urge to pitch. Most B2B content fails this test.
The vendors winning consistently aren't the ones with the biggest Google Ads budgets. They're the ones who showed up in the buyer's feed six months before the buyer knew they had a problem.
