Buyer Education: Why “Educated Buyers Convert Better” Is Circular

By Robert Steers

Ask a marketing team how it knows its content works and you will usually hear the same story. The buyers who download the guides, attend the webinars and open the emails convert faster and more often, so education must drive sales. I believed this for most of my career, and I started writing about buyer education to prove it. The evidence took me somewhere less comfortable.

Buyer education is content that helps buyers understand a problem, the options for solving it and how to choose between them. The claim that educated buyers convert better is mostly circular: buyers who were already close to a decision consume more content, so engagement measures readiness. Teaching changes the outcome mainly for buyers stuck on a complex decision.

That last group is worth real money, because they are qualified, funded and motivated, and they still don’t buy.

Why “educated buyers convert better” is circular

The reasoning runs in a loop. A team notices that heavy content consumers convert well. It labels them educated or engaged, scores them higher and routes them to its best salespeople with the fastest follow-up. They convert even better, and the content gets the credit. Nobody stops to ask whether the content changed what those buyers knew, or whether they arrived already knowing what they wanted.

Industrial marketing has had the vocabulary for this since 1967, when Robinson, Faris and Wind divided business purchases into straight rebuys, modified rebuys and new tasks. A buyer on a straight rebuy has done this before. They read your case studies to confirm a choice they have largely made, and they visit your pricing page because they are ready to talk numbers. Their engagement is a symptom of readiness. Take the content away and their decision would barely change.

Treating that symptom as a cause has three costs. Budget goes into teaching buyers who didn’t need teaching. Attribution reports claim conversions that would have happened anyway. The buyers who did need help, the ones who engaged heavily and then went quiet, get scored down and forgotten.

None of this makes content useless. Content that attracts and filters buyers is a perfectly good sorting device, and lead scoring depends on it. The mistake is funding it, and reporting on it, as if it were teaching.

The four buyer states, and the one where teaching works

A more useful way to segment a pipeline is by decision capacity: whether the buyer can actually make this decision, whatever their budget, authority or need. I use four states.

Buyer state What is happening What they need from you What content does
Unaware Hasn’t recognised the problem or the category A clear account of the problem and what it costs Attracts and filters
Stuck Qualified and motivated, but can’t work out how to compare options A way to decide: criteria, a worked example, a plan Can change the outcome
Evaluating Has criteria and is comparing suppliers Proof and differentiation Helps them narrow the field
Ready Has decided in principle A fast, easy path to purchase Confirms the decision

For unaware, evaluating and ready buyers, content mostly sorts. It tells you who is interested, who is comparing and who is close. Only for stuck buyers can content change the decision itself, because what holds them back is the lack of a way to decide.

My working estimate is that stuck buyers make up a fifth to a third of qualified pipeline in complex categories. Treat that as a hypothesis to test in your own pipeline, because I haven’t seen a published study that measures it. What makes them expensive is that standard qualification can’t see them. They pass BANT and MEDDIC checks easily, then never sign.

Why qualified buyers stall: indecision and cognitive load

The best recent evidence comes from Matt Dixon and Ted McKenna’s research for The JOLT Effect (2022), which analysed about 2.5 million recorded sales conversations. Between 40% and 60% of deals were lost to the customer doing nothing. Less than half of those losses came from buyers who preferred the status quo. The larger share came from buyers who wanted to change but were afraid of making the wrong call.

Gartner’s buyer research points the same way. In one survey, 77% of B2B buyers said their latest purchase was very complex or difficult, and Gartner estimates that buyers spend around two-thirds of a B2B buying journey gathering, processing and reconciling conflicting information.

Cognitive load theory explains why more information tends to make this worse. John Sweller’s research, beginning in 1988, showed that working memory can handle only a few new elements at once. Educational psychologists describe three kinds of load on it, and each has a buying equivalent:

  • Intrinsic load is the complexity of the decision itself. A first-time purchase with eight stakeholders, a long implementation and real career risk carries a lot of it. You can’t remove it, only break it into manageable pieces.
  • Extraneous load is effort spent on things that don’t help the decision. Jargon, 40-page whitepapers, feature lists, battle cards and vendor claims that contradict each other all add to it.
  • Germane load is the productive effort of building a mental model of how to choose. This is where you want buyers spending their attention.

A stuck buyer has their capacity used up by the first two and nothing left for the third. Sending them another whitepaper adds extraneous load. It feels like nurturing, and it makes the decision harder. The same principle applies to a single page, which I covered in How to write marketing copy that reduces cognitive load.

The popular explanation, that buyers face too many options, is weaker than it sounds. The famous jam study (Iyengar and Lepper, 2000) found shoppers were more likely to buy from a display of six jams than one of 24. A later meta-analysis of 50 experiments by Scheibehenne, Greifeneder and Todd (2010) found the average choice overload effect was virtually zero. Buyers cope with plenty of options when they have a way to compare them. Without one, a short list can still stall a committee.

What teaching content looks like

Content that helps a stuck buyer cuts the noise, breaks the decision into pieces and shows how to put them back together. Five formats do most of the work.

  1. A decision framework. Five to seven criteria the buyer should judge every option on, what good looks like on each, and how to weight them for their situation. It has to be useful even if they buy from someone else, or nobody will trust it.
  2. A worked example. A completed decision for a firm like theirs: the criteria, the scores, the trade-offs and the final call. Decades of research on the worked-example effect show that novices learn faster from a solved problem than from solving one cold.
  3. A neutral comparison by approach. Compare types of solution (build or buy, agency or in-house, platform or point tool), including the situations where your type is the wrong answer.
  4. An implementation plan. The first 90 days, who is involved, what it costs and what could go wrong. Much indecision is fear of what happens after the signature.
  5. A category primer. For buyers new to the category, the handful of concepts they need before any comparison makes sense.

The evidence that this kind of help pays is reasonably strong. Gartner found that customers who received information they saw as helpful in advancing the purchase were 2.8 times more likely to report a high degree of purchase ease, and three times more likely to buy a bigger deal with less regret. Gartner calls the seller behaviour behind this sense making: helping customers make sense of the information they already have.

There is a catch, and it matters for targeting. Educational psychologists call it the expertise reversal effect (Kalyuga and colleagues, 2003): guidance that helps a novice can slow an expert down. Hand a step-by-step framework to a buyer who has made this purchase five times and you add load instead of removing it. Diagnose first, then teach.

How to tell whether your content teaches or sorts

You can test this in your own pipeline over a quarter or two, with no special software.

  1. Diagnose each open opportunity. In discovery, ask four questions. How would you describe the problem? What approaches are you considering? What criteria will you use to choose? Who decides, and how? Add one effort question, adapted from the Customer Effort Score (Dixon, Freeman and Toman, 2010): on a scale of 1 to 7, how easy has it been to understand how this would work in your business? Vague answers on criteria and process, with a low effort score, mark a stuck buyer.
  2. Record the state in your CRM, so you can report conversion and cycle time by state.
  3. Give your decision framework to half the stuck buyers and half the ready buyers, chosen at random, and hold it back from the rest.
  4. Compare the groups. If the framework lifts conversion or shortens the cycle for stuck buyers and does little for ready buyers, it is teaching. If it lifts both by the same amount, something else is at work, often the extra attention those deals received. If it moves neither, it was sorting all along.

A small firm won’t reach statistical significance in one quarter. Track stage progression and cycle time as earlier signals, and keep the test running until the numbers settle.

The prize is easy to estimate. Take a firm with 40 qualified opportunities a quarter and an average deal of $60,000. Suppose ten of them are stuck and close at 10%, which is one deal. Lifting that to 25% gives 2.5 deals, an extra $90,000 a quarter or $360,000 a year, from buyers who were already in the pipeline. These figures are illustrative, so put your own in.

Where buyer education fits with brand and reach

This doesn’t argue against Byron Sharp. Buyers have to think of you before they can get stuck on you, and mental availability is built by reaching all potential buyers, most of whom aren’t in market today. Buyer education sits alongside reach. I think of the budget as a portfolio of three jobs:

  • Harvest: make it fast and easy for ready and evaluating buyers to buy, with proof, clear pricing and a short path to a decision.
  • Transform: teach stuck buyers how to decide, using the formats above, with salespeople trained to use them.
  • Create: explain the problem to the unaware, so the category, and your name in it, are there when they need them.

For a complex B2B business my starting split is roughly 60% harvest, 30% transform and 10% create. Treat it as a hypothesis to test against your own pipeline.

Teaching is the wrong investment when the category is simple, sales cycles run under about 30 days, your buyers are experts, or you have no genuine point of view on how the decision should be made. In those cases, spend on reach and brand and on making the purchase easy.

What to do this month

  1. Pull your last 20 won deals and 20 stalled ones. For each, decide honestly whether the buyer was stuck or shopping.
  2. If the stalled deals cluster around one decision buyers can’t structure, build one decision framework for it. Write it so a buyer could use it without you in the room.
  3. Test it with ten stuck buyers. Before and after, ask each to explain how they will decide. If they can explain it back to you, the framework is working.
  4. Compare cycle time and conversion against the stuck deals that didn’t get it, and record the result in your CRM.

If you want a second view on where your pipeline stalls, the growth maturity audit is a free place to start, or get in touch to talk it through.

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