Messaging and positioning
Walk me through your process for testing whether a new positioning direction will resonate before committing to a full rollout.
Write down what you expect to be true and what result would change your mind. Test comprehension first by showing the statement cold to target buyers and asking them to say it back.
Then test behavior with a page or ad comparison and a small pilot. Set the success bar before any data arrives, check that people who arrive through the new message stay, and roll out in stages.
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What a positioning test has to prove
A positioning change is easy to approve on opinion and expensive to undo. The test has to separate three things people blur together. Do buyers like it? Do they understand it? Do they act on it? Only the last two tell you anything about a rollout.
Most answers stop at a survey and an A/B test. The ones that score well add the step before and the step after, a cold comprehension check up front and a retention check once people arrive.
Three layers of positioning evidence, in order
| Layer | Method | What it tells you | What it can’t |
|---|---|---|---|
| Comprehension | Show the statement cold to target buyers and ask them to restate it | Whether the idea survives contact with a stranger | Whether anyone will act |
| Behavior | Store page, ad, or landing page comparison, and a small sales or community pilot | Whether the message changes clicks, installs, or replies | Whether the new arrivals stay |
| Durability | Retention or repeat use of people who came through the new message | Whether it attracts the right people | Long-run brand effects |
Set the bar before the data arrives, including the lift you need and the window you will wait. Otherwise any result becomes a story someone wants to tell.
Testing a new position for a mobile puzzle game
“I begin by writing down what I expect and what would change my mind. Our puzzle game is positioned as brain training, and we’re considering a calm five minutes for adults who want a break. My hypothesis is that the calm angle brings in players who stay longer, even if fewer of them install. First I’d show both statements cold to a dozen players in our target age range and ask them to say back what the game is for. Liking it tells me little. Restating it correctly tells me a lot. Then I’d run a store page experiment for two weeks with the two versions, and matching ad creative in one country. I’d set the bar up front, for example day-seven retention at least as high as today’s with install rate no worse than five percent lower. Installs alone could fool me, since calm might draw curious players who leave. If both bars clear, we roll out in stages, starting with the store page and onboarding, then the rest.”
On analytical rigor, the Exceptional move here is the sentence about installs fooling you. It names the result that would look like success and mean failure, before any data exists.
Positioning test results that mislead
- Interviewees loved it. Warm reactions in a conversation are cheap. Look for correct restatement and a question about price or access.
- Click-through went up. A curious headline raises clicks from the wrong people. Check what they do next.
- A winner after three days. Early results swing. Hold to the window you set.
- It won in one market. The first market was chosen because it looked promising. Treat it as one data point.
- The new version won and so we should change everything. Staged rollout still catches surprises in channels you didn’t test.
Where positioning test answers slip
“I’d survey a few hundred customers on which positioning they prefer, then A/B test the homepage. If the new one performs better we roll it out company-wide.”
The instinct is right and the details are thin. A preference survey measures liking, and performs better is never defined. And current customers are the people least likely to reveal whether a new position attracts new ones. Fix it with a hypothesis, a cold comprehension check with prospects, and a bar written down first.
A second pattern runs long, as people describe every research method they know and never reach a decision rule. Name three steps and the bar, then stop.
Follow-ups on testing positioning first
| Follow-up | The concern behind it | How to answer |
|---|---|---|
| The interviews and the numbers disagree. Now what? | Handling conflicting evidence | Trust behavior for whether it works and interviews for why. Decide in advance which wins a tie. |
| How big does the sample need to be? | Statistical sense | Enough traffic to detect the lift you set. Without it, rely on interviews and a pilot and say what they can’t prove. |
| What if sales or community staff refuse the new pitch? | Influence | Recruit two or three willing people and share their results. Peers persuade faster than decks. |
| How long would you wait before deciding? | Patience versus speed | Long enough for the durability layer, often a few weeks for apps and a full cycle for larger purchases. |
After rollout, the job becomes measurement, which the measuring positioning question covers.
More questions in this category
Frequently asked questions
- Can you test positioning with a small audience?
- Yes. A dozen good interviews and a small pilot tell you more than a large survey of the wrong people. Say plainly what that sample can and can’t prove.
- Do you always need an A/B test?
- Only if you have the traffic to read one. Without it, lean on cold comprehension checks and a pilot, and explain why a split test would mislead at that volume.
- Who should see the test plan before it runs?
- Whoever will be asked to adopt the result, usually the head of sales or growth and the executive sponsor. Agreeing the bar with them first prevents a fight over the reading later.
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