Short answer
Branded search shows the best return in almost every ad account. It catches people who already decided to buy and typed your name. Much of that revenue would have arrived anyway. It is the line most likely to be over-funded, and the easiest one to test — turn it off in a few matched markets and watch total sales.
Sort any search account by return on ad spend. Branded search is at the top, usually by a lot.
In most of the models we build, it is also the most over-funded line in the account.
Switch it off and watch which rows move. Illustrative shape, not a specific client result — your own number comes from a four-week test.
Why does branded search look so good?
- Branded search
- Paid ads on searches that include your name — "acme running shoes" instead of "running shoes". They already know who you are. The only question is whether the click was worth paying for.
Someone searching your name was already convinced by something. A TV spot. A friend. Six months of a good product. The branded ad meets them at the end and books the sale in its own column.
When is it actually worth paying for?
| Situation | Worth it? |
|---|---|
| Competitors bidding on your brand name | Often yes — you are defending |
| Weak or missing organic result | Yes — the ad does real work |
| Retailers outranking you on your own terms | Usually, depending on margin |
| Strong organic #1, nobody bidding against you | Rarely — you are paying for a free click |
How do you find out what yours is worth?
- 01Pick matched markets based on how sales behave over time, not size.
- 02Pause branded search there. Keep everything else identical.
- 03Run it a full purchase cycle — usually four to six weeks.
- 04Compare total sales, not paid search sales. That is the row that matters.
In our models, branded search and shopping sit over-invested while connected TV, audio and video sit starved. Not a coincidence — budgets follow whatever the reporting can see.
Will competitors take my traffic?
They can. That is why you test in a few markets instead of switching it all off. If it is a real problem, the test shows it as a real drop in total sales.
What is a typical incrementality rate?
It varies too much by category for a benchmark to help. The number that matters is yours, and four weeks will produce it.
Does this apply to branded shopping ads?
Yes, often more so. They catch the same decided buyer with an even shorter path.
Test before or after building a model?
Either. If you have a model, the test checks it. If you do not, the test gives you one clean number with no modeling at all.
Find your wasted third
Want this run on your own numbers?
The two-week audit shows you where each of your channels sits on its own curve — what to cut, what to grow, and how much budget is sitting in the wrong place.
Book the two-week auditKeep reading
- What ad saturation actually looks likeSaturation is the point where the next dollar in a channel stops paying for itself. What the curve looks like, how to read it, and what it costs to be past it.
- Why we don’t use click-based toolsClick-based attribution has three problems no amount of engineering fixes. What they are, and what we use instead.