ABM got good at finding accounts. Buyers got good at deciding without us.
Most account-based programmes still start from a vendor-visible event: an intent spike, a website visit, a content download, a predictive score, a warm contact, an opportunity.
Those signals matter. They help teams prioritise, reduce waste and give sales and marketing a shared view of where to focus. But for accounts with no existing relationship, the signals often arrive too late.
This paper is about winning new account relationships: accounts with no commercial footprint, no usage data and no reliable first-party history. Retention, renewal and expansion sit outside its scope. When you're expanding, you have usage signals, adoption data and customer history to work from. When you're acquiring, you're starting from low familiarity and low buyer confidence.
The next advantage in account-based growth is becoming the most credible answer before intent is visible. Detecting intent earlier won't get you there.
The buyer research is hard to ignore.
The pre-contact favourite wins about four in five deals.1 So the real contest happens before the sales cycle starts: when buyers talk to peers, read reviews, ask AI tools, compare category leaders, check implementation risk and quietly decide who belongs on the shortlist.
That does not make ABM obsolete. It changes the job. Targeting and orchestration are still necessary. They are no longer sufficient.
"When those accounts form a shortlist without us in the room, what evidence will they find, believe and repeat?"
That is the new battleground: account-based evidence.
The buyer isn't absent. They're active somewhere else.
Most marketing leaders know what ABM is. The more useful question is why mature programmes still feel harder than they should.
One reason is that the buyer journey has moved upstream of the seller's field of vision.
Sellers are still relevant. They just increasingly join the journey after buyers have already formed a point of view.
Most ABM operating models are built around vendor-observable signals. Who is showing intent, who is engaging, who is surging, who is in-market? These are good questions, but they bias the organisation towards accounts already emitting signals. The hidden buying window asks a harder question: what happens before the signal?
This is where the 95:5 rule helps.
Ehrenberg-Bass research shows that 95% of potential buyers are not ready to buy today.4 Its conclusion is that the brand most easily remembered is the brand that gets bought. Most future buyers are not shopping yet, but they are already forming memories.
The answer is not simply "run brand alongside demand". It is to build the evidence environment that makes your brand easy to remember, easy to trust and easy to shortlist.
Not wrong. Incomplete.
For acquisition, three habits still hold programmes back.
Intent is treated as a proxy for opportunity
Intent data is useful. But intent and preference are different things. An account can show intent and still have decided that another vendor is safer, better known or easier to justify. By the time the signal appears, the shortlist is often already formed.
Personalisation is treated as proof of relevance
Nobody wants generic outreach. But buyers have a harder question than relevance. They're asking "Can I trust this decision?" More personalisation doesn't answer that.
Gartner's survey of 1,464 B2B buyers found that personalised marketing generated negative experiences for 53% of customers. Those customers were 3.2 times more likely to regret their purchase, and 44% less likely to buy again. The risk peaks when buyers shift from searching to selecting.5
The bigger issue is who you personalise for. In a separate survey of 632 B2B buyers:6
consensus when tailoring for the buying group.
impact on consensus from individual-level relevance.
Gartner attributes this to confirmation bias: individual-level content reinforces personal perspectives and pulls stakeholders apart. Where buyers did experience buying-group relevance, they were three times more likely to report a high-quality deal. For acquisition ABM, personalise to the account, the buying group and the stage they're in. Individual-level targeting works against you.
A tailored landing page, persona email or industry ad may create relevance. It does not necessarily create confidence. Confidence comes from evidence: customer outcomes, implementation clarity, peer validation, pricing transparency, integration proof, security answers and a clear view of time to value. It also pays. Confident buyers are twice as likely to report a high-quality deal.2
Measurement stops at what the vendor can see
Engagement, MQAs, pipeline influence, win rate and account penetration all matter. But acquisition also needs metrics for what happens before contact: whether target accounts already know the brand, whether it appears in AI-generated answers, whether review profiles are credible, and whether sales hears "we already had you on the shortlist" in first meetings.
The programme needs a wider view of influence. Another dashboard won't give you that.
If one of your target accounts asked an AI tool, a peer, a review site, an analyst or a former colleague to recommend vendors in your category, would your company appear? And would the evidence survive internal scrutiny?
If the answer is unclear, the programme needs to move further upstream.
Account-Based Evidence.
The deliberate design of the proof, memory and trust signals that shape how a target account evaluates a vendor before first contact.
The campaigns stay. Account-Based Evidence is the foundation they rest on. Campaigns distribute messages; evidence helps buyers believe them. Here are five evidence loops that matter the most.
Category memory
Before buyers are in-market, they are building loose associations about which vendors are credible and visible. Target-account advertising, thought leadership, executive content, events and category points of view should not be judged only on immediate pipeline. Their job is to make the brand familiar enough to be considered when the buying window opens.
Machine-readable proof
With 45% of B2B buyers using AI in a recent purchase,7 the content job changes. Vendors need proof that machines can retrieve and summarise accurately: clear comparison pages, structured FAQs, customer evidence, product documentation, implementation timelines, integration details, pricing guidance and plain-language statements of what the product does and does not do. Gartner advises structuring content into modular, agent-ready building blocks.2
The future buyer may never read the whole asset. Their AI assistant might.
Buying-group proof
B2B buying groups average 13 internal stakeholders and 9 external influencers, rising for more complex purchases,8 so acquisition ABM should build evidence around committee objections, not only personas.
The goal is internal consensus without the vendor present.
Commercial-risk proof
Unknown vendors carry risk, and so do well-known ones if pricing, implementation or time to value are unclear. When TrustRadius asked buyers what they would change about the buying process, the top answer was more transparent pricing.3 And 69% of B2B buyers report inconsistencies between a supplier's website and what sellers tell them.9
If the website, deck, review profile, analyst note and seller tell different stories, buyers don't experience nuance. They experience risk.
External validation
Buyers trust what other buyers say. 54% of software buyers speak with a user before purchasing, and buyers' own prior experience is the most influential resource they consult.3 A new vendor has none of it, so customer voices have to do that work. Customer advocacy should not sit at the end of the funnel as a case-study library. It belongs on the front line: reviews, peer references, community presence, implementation stories and "why we switched" narratives.
The strongest programmes won't simply say better things to target accounts. They'll make the market say better things about them.
From campaign-first ABM to evidence-led go-to-market.
Campaigns stay, but they should point to an evidence system that holds up when the buying group goes off to validate what they've heard. These six moves are a good start.
Separate acquisition ABM from expansion ABM
Expansion can draw on usage, adoption and relationship history. Acquisition has to build trust without them, so do not force one model to cover both.
Build an evidence map by ICP and buying group
For each priority segment, map the buying committee and the proof each stakeholder needs. Then audit whether that proof exists, is findable, is current, and is credible without a salesperson explaining it.
| Buying-group question | Evidence required |
|---|---|
| Why change? | Market problem, cost of inaction, category point of view |
| Why this vendor? | Differentiation, customer outcomes, comparison proof |
| Why now? | Trigger events, business risk, opportunity cost |
| Can we implement? | Timeline, integrations, support model, migration proof |
| Can we justify spend? | Pricing, ROI assumptions, business case, payback |
| Can we trust them? | Reviews, references, security, analyst validation |
Ungate the proof buyers need to shortlist you
Hiding implementation guidance, pricing logic and customer proof behind forms may protect attribution while weakening buyer confidence. Forrester criticises B2B firms for clinging to MQL obsession, gated content and siloed teams, and says building preference early is critical.10
Optimise for answer engines, not just search engines
The question has moved on from "Can people find this?" to "Can people and machines understand, extract, compare and trust this?" That means consistent claims, clear architecture and third-party proof.
Make sales enablement buyer enablement
The best sales conversation feels like a continuation of what the buyer has already learned, not a correction of it. Keep the story consistent across website, sellers, reviews, analysts and partners — and plan customer proof by segment, use case and buying role so buyers can see themselves in it.
Measure pre-contact preference
Most teams will get this measurement imperfect at first. That's fine. Useful signals include:
The goal is to see whether the market is warming up before the pipeline does.
Less chasing accounts. More being chosen by them.
The centre of gravity shifts from targeting to trust, and from engagement to evidence.
It's a different investment case. Brand, content, customer advocacy, reviews, analyst relations, community, AI visibility and sales enablement tend to live in separate workstreams. In an evidence-led model, they become one connected system.
When a buying group investigates your category without speaking to you, do they find enough credible evidence to put you on the shortlist?
If yes, ABM becomes easier: sales conversations start warmer, paid media works harder, and the first meeting validates a preference that already exists. If no, more targeting will only take the programme so far. In acquisition, selecting the right accounts is now only the opening move.
Targeting tells you where to play. Evidence determines whether you are chosen.
And increasingly, the choice is being shaped before contact. Find out what your target accounts see when they research your category without you.
Start an evidence audit →- 016sense, 2025 B2B Buyer Experience Report.
- 02Gartner, Gartner Sales Survey Finds 67% of B2B Buyers Prefer a Rep-Free Experience, March 2026.
- 03TrustRadius, Bridging the Trust Gap: B2B Tech Buying in the Age of AI, April 2025.
- 04Ehrenberg-Bass Institute, The 95:5 rule is the new 60:40 rule, 2021.
- 05Gartner Survey Reveals Personalization Can Triple the Likelihood of Customer Regret at Key Journey Points, June 2025.
- 06Gartner Sales Survey Finds 74% of B2B Buyer Teams Demonstrate "Unhealthy Conflict" During The Decision Process, May 2025.
- 07Gartner Survey Finds 69% of B2B Buyers Turn to Sales Reps to Validate AI-Generated Insights, May 2026.
- 08Forrester's 2026 Buyer Insights: GenAI Is Upending B2B Buying As Leaders Face Mounting Pressure To Justify Every Dollar Spent, January 2026.
- 09Gartner Sales Survey Finds 61% of B2B Buyers Prefer a Rep-Free Buying Experience, June 2025.
- 10Forrester: The GTM Singularity Is Collapsing Traditional Go-To-Market Approaches, April 2026.