# Plain Studio Shot or Lifestyle Photo A/B Test

Page: https://alidemirbas.com.tr/en/lab/ab-test-library/tests/plain-studio-shot-or-lifestyle-photo-ab-test

## Hypothesis

If shoppers can only grasp a product's size and use by seeing it in a scene, the in-use photo may make the decision easier; if they want to inspect detail up close, the studio shot may. So the in-use photo may earn the higher purchase conversion rate (CR) for products whose scale is hard to picture, and the studio shot for products where detail decides the purchase.

## When to run this test

Customer questions about dimensions, return reasons like "smaller than expected," or visitors who browse the gallery and then leave suggest the photos do not show a product's size or how it is used. If the in-use photo works, the in-use arm gains add-to-carts and purchases without a rise in returns; if the studio shot leads, the need for detail is winning out. If the description lacks dimensions, add them first. Check that the lifestyle shots do not look heavily filtered or artificial and that the product stays clearly visible in an uncluttered scene; without suitable photos, do not start.

## Primary metric

**Purchase conversion rate (CR)**: Compare purchases per assigned visitor across the two photography styles.

## Other metrics

- **Click-through rate (CTR)**: Use this only if the tested image is on a listing; measure product-page visits.
- **Add-to-cart rate**: Check whether shoppers take the first purchase step.
- **Return rate**: Track returns, but do not assume each return was caused by the image.
- **Page load time**: Make sure large images do not slow the page.

## What to check before and during the test

- **Context**: Compare a plain studio product shot with a professional lifestyle scene.
- **Consistency**: Define the image slot; keep the product, quality, angle and comparable lighting consistent.
- **Inspection**: Review image and page interactions without treating them as proof of trust.
- **Mixed gallery**: A gallery combining both styles is a separate comparison.
- **Order**: Keep image count and order fixed; change only the predefined slot.

## What to watch when reading the result

- Pick the winner on purchase conversion rate; more image interaction or longer time in the gallery is not enough to choose a style and does not show greater trust. If add-to-cart rises along with returns, the scene may have set a different expectation, so treat that as a warning rather than a gain, though not every return traces back to the image.
- Your finding covers only the image slot and product categories you tested, and a gallery mixing both styles is a separate comparison. Title, price, CTA and badges must stay the same in both arms; if any of them changes, you cannot credit the gap to the photo style. If heavy images slow the page, read the result together with load time.
- If the arms come out close, look at the scene again, since a busy background can distract from the product and erase a possible gain. In the slower-loading arm some visitors may leave before tracking starts, so check that assigned visitor counts match the planned split (sample ratio mismatch). Then run each arm's visitors and purchases through the [A/B test significance calculator](https://alidemirbas.com.tr/en/calculators/ab-test) and look at the p-value.

## Frequently Asked Questions

### How does lifestyle photography differ from customer photography?

Lifestyle describes the product’s setting; customer photography describes the source. They can overlap. This scenario compares professional studio and professional in-use images, not professional versus customer-generated content.

### Can the lifestyle scene overshadow the product?

Yes. Keep the product clear and avoid clutter or misleading filters. The setting should explain use rather than compete with the item.

### Does more image interaction establish increased trust?

No. Use purchase conversion as the primary outcome. Add-to-cart and relevant detail-page visits are diagnostic, not direct measures of trust.