Demand Generation

Buying search ads to fill the funnel has a ceiling built into it. An ad only appears in front of someone who already typed something into a search box. If 3,000 people a month look for a collaborative document tool, no amount of budget changes that 3,000 — it only changes how much of it you take from competitors. This is why doubling spend often returns 1.2 times the inquiries.

The harder case is when the search term doesn't exist at all. Someone whose meeting notes are scattered across ten laptops hits that friction several times a day and still doesn't believe a tool exists for it. The problem has no name, so there is nothing to type. Ads never reach this person and search results never catch them. They are a real prospect who, in the current setup, simply cannot be met.

Demand generation is the approach built for that second person. Rather than waiting for demand to appear and then competing for it, it reverses the order: tell the story of the problem first, let demand form, and be the obvious answer when that demand finally shows up as a search.

Put a name on friction that doesn't have one, spread that name where the audience already spends time, let people recognize their own situation in it, and be visible when they start looking.

1. Name the problem. Reframing "meeting notes get scattered" as "nobody can tell where a decision was made" makes the listener think of something that happened on their own team last week. Once friction has a name it becomes a thing to solve, and someone who can describe their problem in a sentence is someone who can go looking for an answer to it.
2. Put the story where people already are. Instead of waiting on search results, it goes to industry communities, posts on professional networks, webinars and podcasts — wherever the target audience already spends attention. The audience isn't searching yet, so you have to go to them.
3. Don't ask for contact details up front. Gating a resource behind an email form raises the count of leads — prospects who have handed over a way to contact them — but at this stage it cuts the number of readers and slows the spread of the idea.
4. Check for demand with different signals. Watch whether more people arrive by searching the company name directly, and whether "we have that problem too" starts coming up more often on sales calls.
5. Let the funnel take the demand from there. From that point it behaves like any other inbound path starting at TOFU: the person now recognizes the problem, compares solutions, narrows the field and decides.

Months usually pass between step 1 and step 4. Someone reads a post this month and types the company name into a search box four months later, once a budget finally exists. That lag makes attribution — deciding which touchpoint gets credit for a conversion — genuinely hard, because a last-touch model hands all the credit to the search ad that happened to be last in line.

It belongs to products sold to companies, with large contract values and long evaluation periods. When a decision takes six months, a story planted today has time to ripen before anyone decides.

1. New categories. A product with no close comparison has no search volume to capture, so the problem has to be introduced before the product can be.
2. Saturated search demand. The team already ranks on the relevant terms, already bid the cost per click as high as it will go, and has nowhere left to expand.
3. Purchases with many people involved. The team that will use it, the team holding the budget and the team reviewing security can each object for different reasons, so it helps when everyone in the decision has already heard the same story.

The places it doesn't fit are just as clear. If search volume is healthy and competition is mild, harvesting that demand is far cheaper than manufacturing more. It also doesn't fit a situation that demands proof in numbers within three months. This is planting and waiting, and a single quarter isn't long enough for anything to grow. A team under that kind of pressure will quietly convert the work back into lead capture halfway through.

"Thirty percent of the budget goes to demand gen this quarter, and we agreed not to judge it on lead count."

Results arrive late, so the team is committing to a different yardstick in advance.

"Search ads harvest demand that already exists. They don't create demand that doesn't."

A reminder that more ad budget doesn't make the market any bigger.

"Brand search volume has climbed three months running. Last quarter's content is starting to move."

More people are searching the company name directly, which means demand is forming.

Ravi first raised this at Pagedeck after pushing the search ad budget to $9,000 a month. Spend kept climbing while inquiries sat flat for three months. Counting the actual search volume showed that every relevant term added up to about 4,000 queries a month, and Pagedeck was already taking a large share of them.

So the direction changed. He wrote about teams that can't reconstruct where a decision was made, and carried the same story into a webinar and an industry newsletter. Nothing moved for two months. In the fourth month, the share of visitors arriving by searching the company name went from 9 percent to 21 percent, and Sofia started hearing "I read that post" on calls. Those two signals, not the inquiry count, are why Grace kept approving the budget.

The most common mistake is grading it on lead count. Every other marketing activity is measured that way, so the instinct is understandable. But this work trades contact details for reach on purpose. Put an email form in front of the material and leads go up while readers go down, which shrinks the number of people who come to recognize the problem and inverts the point of the exercise. Once lead count becomes the metric, the forms come back within weeks, and six months later the MQL number — marketing-qualified leads, the ones marketing judges to have potential — has grown while the market hasn't.

Reading it as the approach that avoids paid advertising is the other one. The impression comes from all the writing involved, but demand generation usually buys plenty of ads. What differs is where the money points. Instead of showing a product ad to someone ready to buy, it shows a piece about the problem to someone who hasn't named it yet. The cost per click is similar; what the click is meant to accomplish is not.