Display advertising is judged by a system built to measure search. Somebody sees your ad, does not click, and buys a fortnight later through a branded search — and the display campaign gets nothing.

You cannot fix the attribution. You can, however, produce evidence that the demand exists and that display created it.

**Time: about 45 minutes. Do it before any budget conversation.**

[Watch the walkthrough](https://kb.trackiq.com/kb-assets/kbvideo-display-demand-explainer-3720867e.mp4)

*Prefer to watch? Eighty-five seconds on three claims, in descending order of strength.*

## **What "created demand" actually means**

Three claims, in descending order of how convincing they are:

1. **Display brought people who had never bought from the brand.**
2. **Display caused people to go and search for the brand.**
3. **Display appears early in journeys that end in a purchase.**

Claim 1 is the strongest and the hardest to earn. Claim 2 is the one most people never think to measure. Claim 3 is the weakest, because presence is not influence — but it is where the sequence is visible.

Take them in order.

## **Step 1 — Did it bring new customers?**

**AMC Cloud → NTB Customers.**

![New-to-brand share and volume by ad product type](/kb-assets/shot-b27-cust-top-7fa12d.png)

This dashboard counts **people**, which is what you want when the claim is about acquisition. Read both charts, because they disagree and the disagreement is the argument:

**The bars** give each format's NTB **rate** — what proportion of its buyers were new.

**The doughnut** gives each format's **share of all new customers** — the volume.

A strong result is a decent rate **and** a meaningful share. A rate of 70% on 0.1% of your new customers is not evidence of acquisition; it is a rounding error with a good percentage.

> Check the legend before reading the bars. On this dashboard NTB is the *lighter* segment; on **NTB Purchases** it is the darker one. They do not agree with each other.

If display shows a real share here, stop — you have your case, and it is the best one available.

## **Step 2 — Did it cause brand searches?**

**AMC Cloud → Brand Keywords.**

![Branded searches generated after ad exposure](/kb-assets/shot-b28-bkw-top-7fa12d.png)

This is the measurement most accounts never run, and it is the cleanest evidence of created demand that Amazon makes available.

> *Brand keywords are searches customers ran on Amazon for your brand **after being exposed to your ads**.*

Somebody who saw a display ad and later typed your brand name has changed their behaviour because of it. They may then convert through Sponsored Brands, or organically, and neither of those will credit display — but the search itself is the fingerprint.

**Look at Campaigns Driving Searches.** If your display campaigns appear there, they are generating brand-search intent.

**Then look at the trend.** Compare branded search volume across months against display spend across the same months. Moving together is your evidence. Display spend rising while branded searches stay flat is the null result, and it is worth knowing honestly.

**Read the keyword list too.** *Brand + a specific product* means display built awareness of a **thing**, which converts far better than *brand alone*. A product appearing there that you did not advertise is display doing discovery work.

## **Step 3 — Where does it sit in the journey?**

**AMC Cloud → Path to Purchase.**

![Conversion paths with their NTB columns](/kb-assets/shot-b27-ptp-top-7fa12d.png)

Now the sequence. Find the paths that **begin** with display and read the **NTB purchases** column, not sales.

**DSP-first paths with a high NTB rate** — display opened the journey and handed a genuinely new customer to search. That is created demand, visible in order.

**DSP-first paths with a low NTB rate** — display went first because it re-reached somebody the brand already had. It intercepted a journey rather than starting one.

This is where the argument is usually won or lost, and it is worth being honest about the outcome. A remarketing-weighted display buy will show low NTB here, and that is a description of what was purchased rather than a failure of the channel.

## **Step 4 — Assemble the case**

Three numbers, in one place, compared against the same period last quarter:

| Evidence | Where | What convinces |
|---|---|---|
| New customers from display | NTB Customers | a **share** of acquisition, not just a rate |
| Branded searches from display campaigns | Brand Keywords | volume that **moves with** display spend |
| Display-first paths | Path to Purchase | a high **NTB rate** on those paths |

If all three point the same way, the case is made. If they disagree, trust them in the order given — acquisition beats search lift beats sequence.

## **What you cannot prove here**

Be straight about the limits, because overclaiming is how a good case gets dismissed:

**None of this is incrementality.** It shows the customer was new to the brand and that a search followed exposure. It does not prove the purchase would not have happened anyway. A true incrementality test needs a holdout, which is outside TrackIQ.

**Exposure is not influence.** Somebody who scrolled past a display ad appears in the path.

**Organic is invisible.** Paths contain only ad exposures, so a customer who found you through organic search and later saw a display ad looks display-influenced.

**Monthly cohorts.** Every AMC dashboard reports one calendar month. Use three before drawing a trend.

## **If the evidence is thin**

A null result is a finding, and it usually points at **what you bought** rather than at display as a channel.

Open **DSP Campaigns** and check the prospecting-versus-remarketing split. A buy that is overwhelmingly remarketing was never going to create demand — it was purchased to re-engage. In that case the honest move is to rename it in your own reporting and judge it on remarketing efficiency instead.

See [**Decide whether your upper-funnel DSP is worth keeping**](https://kb.trackiq.com/hc/knowledge-base/articles/is-your-dsp-worth-keeping).

## **Related**

- [**Brand Keywords: Proving Upper-Funnel Spend Works**](https://kb.trackiq.com/hc/knowledge-base/articles/brand-keywords) — step 2, the key measurement.
- [**NTB Customers: New vs Repeat, Counted as People**](https://kb.trackiq.com/hc/knowledge-base/articles/ntb-customers) — step 1.
- [**Path to Purchase: Which Ad Sequences Actually Convert**](https://kb.trackiq.com/hc/knowledge-base/articles/path-to-purchase) — step 3.
- [**DSP Campaigns**](https://kb.trackiq.com/hc/knowledge-base/articles/dsp-campaigns) — what your display spend actually bought.
- [**Create a Sponsored Display Campaign**](https://kb.trackiq.com/hc/knowledge-base/articles/create-a-sponsored-display-campaign) — the targeting families this method judges.