Most arguments about B2B paid media are really arguments about what the buyer was doing before the click, and the people in the room usually hold different pictures of that buyer without knowing it. The head of sales pictures a person with a problem typing a query into a search platform. The finance director pictures a cost that should return pipeline within the quarter. The media manager pictures an auction. Each picture is partly right. A plan built only on the sales picture over-funds search. A plan built only on the finance picture cuts anything that pays back beyond the quarter. A plan built only on the auction picture optimises bids and ignores who is being reached.

This post is the hub for a series called How B2B Media Actually Works. The series takes each channel family in turn and explains what the channel is for, what it should be measured on, and where its reporting flatters it. This post sets out the buyer behaviour and the demand creation and demand capture distinction that the channel posts rely on. If you read nothing else in the series, read the section on demand creation and demand capture, because every channel decision comes back to that distinction.

The Buyer Picture Most B2B Media Plans Get Wrong

A media plan is a bet on buyer behaviour. Three findings from independent research describe that behaviour, and a plan that ignores any of the three findings will misallocate budget.

The 95% figure is a category-level average that varies with purchase cycle length; treat 95:5 as an order of magnitude rather than a measured constant for your category. Gartner's 17% figure is time spent with all suppliers combined, so a single vendor gets a fraction of that share.

Take a company selling fleet telematics to logistics operators. In any quarter, a small number of operators are renegotiating a contract, absorbing an acquisition, or responding to a new emissions rule, and those operators are looking. The rest have a working system and no reason to change. Paid media cannot make the operators with a working system and no reason to change start a buying process; a renewal date or a failed audit does that. Media can only decide whether the company is familiar to those operators on the day their buying process starts.

The buying committee finding matters just as much. When one of those operators does start looking, the fleet manager who searched for suppliers is not the finance lead who signs, the IT lead who checks the integration, or the operations director who has to live with the change. Each person consumes different content in different places. A form completed by the fleet manager counts as a lead in the reporting dashboard, and the other five people on the buying committee never appear in that dashboard at all.

The third finding, that buyers spend most of the journey away from suppliers, explains why analytics tools record the buyer's journey from a point well after it began. The operations director heard the company's name at an industry dinner, the IT lead read a comparison on a review site, and the fleet manager searched for the brand by name. The report shows a branded search conversion and nothing before it.

Demand Creation and Demand Capture: The Distinction That Organises Every Channel

Demand capture is media aimed at the roughly 5% of buyers who are looking now. A procurement lead searches for contract lifecycle software, compares three vendors on a review site, and returns to a pricing page twice in a week. Capture media places the company in front of that person at those moments. Capture converts quickly, reports cleanly, and stops scaling the moment the company has covered the searches, review-site listings and retargeting pools where active buyers appear.

Demand creation is media aimed at the roughly 95% who are not looking. The aim of creation media is memory: the buyer should be able to name the company, connect the company with the category, and hold a rough idea of what the company is for, months before any buying trigger. Creation converts slowly, reports poorly on conversion metrics, and is the only activity that enlarges the pool of buyers that capture media later harvests.

Demand creation and demand capture pay back on different timescales. Les Binet and Peter Field showed this in The Long and the Short of It, their analysis of the IPA effectiveness databank. Activation (the consumer-marketing term for demand capture) produces sales effects within weeks that then fade. Brand-building (demand creation) produces effects that build over months, persist, and account for most of the long-term growth in the cases they studied. A B2B media team that funds only demand capture gets the short-term sales effects and none of the long-term growth.

In my experience, the pull toward capture is constant because capture always wins the monthly review. The report puts the cost per lead from non-branded search next to the cost per lead from a video campaign aimed at out-of-market finance directors. The search figure is a fraction of the video figure, so budget moves toward search. Six months later the search campaigns are bidding on broader terms at higher prices, lead volume is flat, and the team asks why more spend has stopped producing more pipeline. The answer is that capture spend was already covering the available demand, and the budget that would have grown next year's demand was cut to fund it.

One clarification on vocabulary. In many companies "demand generation" now means gated content, forms and a lead target. A downloaded guide is not demand. A downloaded guide is a contact record from a person who may or may not sit in an account with a live or future need. When a company counts form completions as demand, the marketing team hits its lead target every quarter and the sales team misses its pipeline target every quarter, because most of the form completions were never buyers.

Where Each Channel Family Sits

Every channel does mainly demand creation or mainly demand capture, and which of the two jobs the channel does determines which measure the channel should be judged on. The table below is a practitioner view of the main channel families. Each row gets a full post in this series, and the course Media and Measurement covers the buying mechanics and the measurement set-up for each channel in detail.

Practitioner view. The "measure" column names the metric each channel should be judged on. Every channel also reports delivery and engagement metrics (impressions, clicks, video views); those metrics show that the media ran and was noticed, and they do not show that the media produced pipeline.

Where the Numbers Lie

Each channel plays a different role in a media plan, and each channel's own reporting overstates that channel's contribution in a specific way. The channel posts in this series cover the specific ways. Four patterns apply across every channel.

1. Capture channels claim credit for demand that creation built

Last-click attribution gives the whole conversion to the final tracked touch, and the final tracked touch is nearly always a capture channel: a branded search, a retargeting ad, a review-site listing. The video campaign that put the company's name in the buyer's memory nine months earlier receives nothing. A team that cuts demand creation budget on the strength of a last-click report sees branded search volume fall two or three quarters later. By then the team is usually looking for the cause in the search campaign settings, not in the video budget that was cut.

2. Cost per lead is compared across channels doing different jobs

Cost per lead measures the price of a form completion. A form completion for a syndicated research report and a form completion for a pricing conversation are different events with different values, and putting both on one chart invites the wrong decision. Imagine a payroll software company paying 40 pounds per syndicated download and 550 pounds per demo request. If one download in two hundred becomes an opportunity, the download costs 8,000 pounds per opportunity. If one demo request in four becomes an opportunity, the demo request costs 2,200 pounds per opportunity. The channel with the cost per lead fourteen times higher is the cheaper source of pipeline. Compare channels on cost per qualified opportunity, and compare cost per lead only within a single offer type.

3. Retargeting and branded search report conversions that would have happened anyway

Retargeting shows ads to people who have already visited the site. Branded search shows ads to people who have already typed the company's name. Both audiences were on their way to converting before the ad appeared, so both channels post excellent attributed numbers while adding little that the company would not have got for free. The platform's attributed figure does not answer the question that matters: how many of those conversions would have disappeared if the retargeting campaign had been switched off. The only way to answer that question is a holdout test, where a share of the audience is deliberately shown no ads and its conversion rate is compared with the rest. A retargeting campaign that has never been tested against a holdout group has never been measured.

4. Platform-reported conversions are added up as if they were pipeline

Each advertising platform counts conversions by its own rules: its own attribution window, view-through credit for ads that were seen and not clicked, and modelled conversions where privacy rules block tracking. Each platform also counts every conversion it touched, so a buyer reached by a professional network, a search platform and a review site is claimed three times. Add the platform totals together and the sum exceeds the number of leads in the CRM, sometimes by a wide margin. Use platform numbers to compare campaigns inside one platform, and use the CRM as the only source for comparing channels or reporting to the business.

What Media Cannot Do

Media controls where the ads run, who sees them, what message and offer they carry, how often they appear, and which page the click lands on. Media influences lead quality, brand familiarity and the volume of demand entering the pipeline. Four things sit outside media's control entirely: the offer, the ideal customer profile, the landing page, and the sales follow-up. When a campaign disappoints, one of those four is the cause at least as often as the targeting, bidding or creative.

Media cannot fix a weak offer. A cyber-security consultancy that promotes a generic "book a call" button to out-of-market IT directors will pay for every click and convert almost none of the clicks, however well the campaign is targeted. A well-targeted campaign puts a strong offer in front of more of the right people. The same campaign puts a weak offer in front of more of the right people, and the click still goes nowhere.

Media cannot fix an unclear ideal customer profile. If the company has not decided whether the buyer is a 200-person manufacturer or a 5,000-person one, the targeting will be a compromise that reaches both poorly, the message will be a compromise that speaks to neither, and sales will reject a large share of the leads because the leads come from companies the sales team does not sell to. Audience selection is the media team's highest-leverage decision, and the media team cannot make that decision without a settled profile.

Media cannot fix a bad landing page. A page that loads slowly, asks for eleven fields, or buries the offer under a paragraph about the company's founding story will lose most of the visitors that media paid to bring. The page is usually owned by a web team or a product marketing team, and media inherits the page's conversion rate.

Media cannot fix a sales team that does not follow up. A demo request that waits four days for a reply has usually gone cold, and a lead that is routed to the wrong region sits unworked. The media report shows a lead; the CRM shows no opportunity; the media team is asked to explain the gap that the follow-up process created.

Before any budget increase, check the four items above. More media spend pointed at a weak offer, a vague profile, a poor page or a slow sales process produces more of the same rejected leads, and each of those leads costs more than the last batch did.

How to Read a Media Plan in Five Minutes

This is practitioner judgement, built from many years of reading other people's plans. Run these five checks on any media plan before reading its performance numbers.

Check the split between creation and capture. Add up the budget going to non-branded search, branded search, review sites and retargeting. If that total is more than about three quarters of the plan, the plan is funding this quarter's pipeline at the expense of next year's. Binet and Field's analysis of the IPA databank found the growth-maximising balance weighted toward brand-building, and a plan with no demand creation budget at all is wrong for any company that wants to grow.

Check that each channel has its own measure. A plan that holds a video campaign and a search campaign to the same cost per lead has already decided to cut the video campaign. Each channel in the plan should name the measure it will be judged on, matched to the channel's job: reach and frequency within the ICP for demand creation channels, cost per qualified opportunity for demand capture channels, and engaged target accounts for account-based advertising.

Check that branded and non-branded search are separated. A plan that reports one combined "paid search" figure hides the branded search results inside it, and the branded search results are what make the combined cost per lead look good.

Check the lag assumption. A plan that promises pipeline from a creation campaign in the same quarter has either misunderstood the campaign or is planning to report engagement metrics as pipeline. Creation spend added in the first quarter reaches pipeline in the third or fourth quarter at the earliest, and the plan should say so.

Check for a test budget. In my experience, a plan that reserves nothing for holdout tests, new channels or new audiences will look the same next year as it does this year, and the retargeting and branded search campaigns will never be checked for incrementality. Somewhere between 5 and 15 per cent of the media budget reserved for structured tests is a reasonable working range.

B2B Media FAQs

What is the difference between demand creation and demand capture in B2B?

Demand capture reaches buyers who are already looking for a solution, through non-branded search, review sites and retargeting, and converts them quickly. Demand creation reaches buyers who are not looking yet, through paid social, video and display, and builds the familiarity that puts a company on the shortlist when a buying trigger occurs. Capture is limited by the volume of active demand; creation grows the future volume.

Why does more media spend not produce more pipeline?

Capture channels saturate once the available searches, listings and retargeting pools are covered, so extra capture spend buys broader keywords and higher prices rather than new buyers. Creation spend does grow pipeline, but on a lag of two to four quarters. Extra spend also produces nothing when the sales team cannot follow up the leads it already receives, because the extra leads sit unworked. A later post in this series, why more paid media spend does not mean more pipeline, works through each cause.

Should B2B media channels all be measured on cost per lead?

No. Cost per lead measures the price of a form completion and says nothing about the value of the person who completed the form. Use cost per lead to compare campaigns within one offer type, and use cost per qualified opportunity from the CRM to compare channels. Creation channels should be measured on reach and frequency within the ideal customer profile in the quarter and on pipeline contribution on a lag.

Why do platform-reported conversions not match the CRM?

Platforms count conversions inside their own attribution windows, include view-through credit for ads seen and not clicked, model a share of conversions where tracking is blocked, and each platform claims every conversion it touched. The CRM records one lead once. The two systems will never reconcile, so use platform data for optimisation inside a channel and CRM data for cross-channel reporting.

How much of a B2B media budget should go to demand creation?

Binet and Field's analysis of the IPA databank found that the growth-maximising balance between brand-building and activation was weighted toward brand-building, and their cases were drawn mainly from consumer categories. The right split for a specific company depends on growth stage, brand awareness in each market and competitive spend. As a practitioner view, a growth-stage company with zero creation budget is underinvesting, and a plan with more than three quarters of spend in capture channels deserves a second look. Our guide to setting a B2B marketing budget covers the wider allocation question.

Go Deeper

This post carries the judgement: the buyer picture, the creation and capture distinction, and the ways reporting misleads. The method sits in the course Media and Measurement, which covers each channel's buying mechanics, the metric layers, how to set up CRM-based reporting, and how to run holdout and pause tests on the channels whose reporting overstates their contribution. For the strategy work that comes before any media plan, including the ideal customer profile and the offer, the free module in B2B Marketing Fundamentals is the place to start. The argument that attribution records sequence rather than cause is made in full in why marketing attribution misleads.

Sources

• Ehrenberg-Bass Institute for Marketing Science, 2021, How B2B Brands Grow: the finding that around 95 per cent of category buyers are out of market in any given period, with the in-market share varying by purchase cycle length.
• Gartner, The B2B Buying Journey: typical buying groups of 6 to 10 decision makers, a non-linear journey of looping and repeated tasks, and 17 per cent of buying time spent meeting with potential suppliers.
• Les Binet and Peter Field, The Long and the Short of It, IPA, 2013: short-term activation effects that decay and long-term brand-building effects that persist and drive most growth, across the IPA effectiveness databank.
• Nicholas Toman, Brent Adamson and Cristina Gomez, The New Sales Imperative, Harvard Business Review, March 2017: the growth in the number of people involved in B2B purchase decisions and the effect of larger buying groups on purchase completion.