B2B Go-To-Market & Demand Science

Myth:Your entire B2B budget should chase in-market buyers.

Evidence:At any moment only ~5% of business buyers are in-market; the other 95% are future buyers who must be reached now to be remembered later.

Myth:B2B should spend almost everything on lead gen.

Evidence:Long-run profit is maximised near a 46% brand / 54% activation split in B2B, versus 60/40 in B2C.

Myth:"Link in comments" is a busted hack — LinkedIn stopped penalising outbound links.

Evidence:Outbound links in the post body still suppress reach. Algorithm InSights (1.8M posts) puts the body-link penalty near 50% of organic reach, and controlled A/B tests show first-comment placement recovering most of it: GrowthRocks measured 2.9x reach for link-in-comment in round one and 1.8x in round two — with more clicks, not fewer.

Myth:Quarterly performance reporting captures campaign value.

Evidence:Brand effects accumulate over 6+ months; measurement windows shorter than two quarters systematically undervalue brand and overvalue activation.

Myth:Cut ad spend first when a downturn hits.

Evidence:The IPA's recession evidence review finds brands that maintain share of voice through a downturn recover faster and gain share over cutters - cutting spend mortgages the recovery.

Myth:Hyper-targeting a small ICP list is more efficient than broad reach.

Evidence:Category-entry-point memory built through broad reach predicts future buying better than narrow retargeting of today's list.

Myth:B2B growth comes from persuading buyers with superior messaging.

Evidence:Ehrenberg-Bass research shows B2B buyers start from a mental shortlist built from category entry points - the cues (motives, situations, occasions) that retrieve brands from memory. Brands grow by linking themselves to more CEPs, not by winning rational arguments.

Myth:Market share grows from product superiority alone.

Evidence:Excess share of voice above share of market predicts subsequent share growth; roughly every 10 points of eSOV maps to about 0.5-1 point of annual share gain.

Myth:One MQL equals one opportunity.

Evidence:Typical enterprise purchases involve 6-11 stakeholders; single-contact scoring systematically misreads deal readiness.

Myth:B2B brands win on rational differentiation.

Evidence:Consistent distinctive assets (logo, colour, character, tagline) drive recognition and recall far more reliably than claimed product differentiation.

Myth:Media mix modeling is a six-figure enterprise tool.

Evidence:Google open-sourced its MMM (Meridian, January 2025) with Bayesian calibration from experiments built in, and Meta's Robyn is also free - credible MMM now costs analyst time, not a vendor contract.

Myth:B2B buyers decide on business value: ROI, specs, risk.

Evidence:In Google/CEB/Motista research, B2B purchasers were almost 50% more likely to buy when they saw personal value (career advancement, confidence, pride) in the decision and 8x more likely to pay a premium; only 14% would pay a premium for perceived business-value differences.

Myth:Your reach dropped because you stopped posting enough.

Evidence:Algorithm InSights (1.8M posts) documents organic reach falling by nearly 50% as LinkedIn shifted from a social graph to an interest graph. Baseline reach is structurally lower; the model now rewards demonstrated expertise signals over reach-chasing volume.

Myth:Gate the whitepaper to capture demand.

Evidence:Gating trades most of a piece's reach and memory-building for a small list of low-intent form-fills; ungated distribution plus a light capture path usually wins on pipeline.

Myth:Following up within a day is fast enough.

Evidence:Contact odds fall off sharply within the first hour of an inbound enquiry; response inside five minutes materially outperforms same-day follow-up.

Myth:Buyers are 70% through the journey before contacting sales.

Evidence:Buying is looping, not linear: buyers revisit the same jobs repeatedly and contact suppliers throughout, so the single 70% number is misleading.

Myth:"Comment LINK and I'll send it" is the highest-performing CTA on LinkedIn.

Evidence:Post-quality classification flags explicit engagement bait ("Comment YES if you agree") for downranking, and heavy traffic-bridging behaviour attracts minor reach caps. The tactic can still work for lead capture — it converts a smaller distribution into qualified DMs.