Polls, quizzes and calculators inside the ad or just after it turn curiosity into action: the person takes part, obtains a result and gets closer to the decision. They work when they are simple, relevant and give something useful in exchange for an answer.
The essentials in a definition
Interactive formats (polls, quizzes, calculators) turn the ad into a small experience: the user answers and receives something useful. They work for educating, qualifying and personalising, provided there is a clear reward. If they collect personal data, the GDPR applies. Meta’s help pages describe available formats, and Nielsen Norman Group research helps design simple interactions.
Why interaction helps
Answering a question requires a small decision, which increases involvement and memory. A personalised result (a diagnosis, an estimate, a recommendation) is perceived as value. And the answers give information about the person, which can guide the next message.
It is especially useful in categories with personal or complex choices.
Examples
A product quiz (“what skin type do you have?” and a recommended routine), a savings or return calculator, a preferences poll with an immediate result, a problem diagnostic, a cost simulator. In ads, these can be native platform formats or dedicated pages to which the ad leads.
The important thing is that the result has real value.
An interactive format that gives value
- Choose a question the customer already has
- Give a useful, immediate result
- Ask for contact afterwards, optionally
- Measure start, completion and conversion
How to design well
A few questions (three to five), easy and clear, with closed options. An immediate, useful result, even without leaving contact details. Ask for contact only afterwards, optionally and with justification (“to send you the full result”). Respect consent. Work well on mobile and load quickly.
Avoid useless or manipulative quizzes.
Whoever answers a question is already deciding; give them an answer worth having.
Measure
Track start rate, completion rate, contact rate and later conversion. Compare with pages without interaction. Use the answers to segment and personalise. Review questions and results regularly, and check that recommendations are honest and current.
Test question order and the moment of the contact request.
Decision table
| Format | Purpose | Caution |
|---|---|---|
| Poll | Engage and learn about the audience | Neutral, clear questions |
| Quiz | Qualify and recommend | Few questions, useful result |
| Calculator | Show value or savings | Transparent assumptions |
| Product finder | Recommend the most suitable | Do not force an answer |
Common mistakes to avoid
- Asking too much before giving value. The user abandons.
- Hidden assumptions in the calculator. Misleading results harm trust.
- Collecting data without a legal basis. Inform and ask for consent when applicable.
How to measure the result
Track interaction starts and completions, qualified leads, cost per qualified lead and the performance of the sample that leaves no contact.
Limits and exceptions
Interactive formats require development and maintenance, and not all platforms support them equally. Calculator results are estimates, not promises. Performance varies by sector, and a small sample can mislead; always compare with a simpler format.
Illustrative example
Illustrative example: a solar-panel company uses a calculator with four simple questions (consumption, house type, orientation, location) and shows an estimate with assumptions in view. Only at the end does it ask for contact details, optionally. Fewer people complete it, but leads arrive better informed.
In practice: checkpoints
Prototype the interaction on paper first, then test it with a few real users. Measure start, completion and drop-off per question, and keep the interaction fast on mobile. Offer a result worth having, and make sure the data you collect has a clear purpose, legal basis and retention period.
Frequently asked questions
How many questions should I have?
Three to five, simple and with closed options.
Should I ask for the email before the result?
It is better to give value first and ask afterwards, with consent.
Does it work for B2B?
Yes, with diagnostics, calculators and useful comparisons.
How many questions should I use?
Few, enough to give a useful result; test the short version against the long one.
Do I need consent?
If you collect personal data, state the purpose and apply the right legal basis, such as consent when necessary.
Interactive formats work when they return value before asking for data, with few questions, transparent assumptions and GDPR compliance.
Sources and recommended reading
- Nielsen Norman Group: usability articles
- Meta Business Help Centre
- General Data Protection Regulation (GDPR)
Last editorial review: October 2026. Informational content; always confirm current conditions in the official sources before deciding.