The Image Test is a variation on the Monadic Test designed for testing images. Gather feedback and determine the effectiveness of your images for your website, advertisement, or product. The Image Test is used for:
- Finding the best performing images
- Comparing respondent attitude to each image
- Receiving feedback regarding what consumers liked or disliked about your images
Use the Image Test to validate your images.
The survey flow compares two images on 4 questions
Image Tests can be automatically translated to more than 30 languages.
Bring your own respondents or buy quality-assured panel respondents from us.
Main outputs of the Image Test
Summary of response table:
How does each image perform relative to the others?
The main output for the Image Test, this table displays the summary statistic for each question. It allows for an at-a-glance comparison between images to help you determine the best performing image
What is the overall performance of each image?
Image passports shows an overview of how each image performed. It includes the summary metrics for every question and open-ended positive and negative feedback.
Image correlations table:
Which images appeal to the same respondents?
Correlations measure the similarity between your images, with a more positive correlation between two images indicating stronger similarity and a more negative correlation indicating more dissimilarity. Correlations can show you which images appeal to the same subset of respondents.
Detailed question output for a particular stimulus:
How did my images perform on a particular question?
Inspect detailed metrics for each question, including the distribution of responses, medians, ranges, and participant counts. You can select which image to display outputs for using the drop-down selection at the top of the output.
Complete solution for testing images
Fully-functional online survey tool with various question types, logic, randomisation, and reporting for unlimited number of responses and surveys.
Efficiently test up to 300 product claims on customer appeal, fit with brand, and diagnostic questions of your choice.
Identify winning product variants from up to 300 different ideas (e.g., designs, materials, bundle options) on customer appeal, fit with brand, and diagnostic questions of your choice.
Efficiently test product descriptions to identify the best one for your product
Feature and claim selection and measuring willingness to pay for features for a single product.
MaxDiff (aka Maximum Difference Scaling or Best–Worst Scaling) is a statistical technique that creates a robust ranking of different items, such as product features.
Pricing, feature and claim selection in markets where product characteristics vary across brands, SKUs, or price tiers.
Ask respondents to evaluate product concepts and digital assets one-by-one to get a read of their preferences and perceptions with various question types.
Efficiently evaluate potential business names to identify the best one to represent your brand
Efficiently test potential brand names to identify the best one to represent your business
Efficiently test potential domain names to identify the perfect new home for your brand
Efficiently test potential product names to identify the best one to reflect your brand
Efficiently test potential business card designs to identify the best one for your business
Determine price elasticity for a single product and identify revenue-maximising price level.
The Price Sensitivity Meter helps determine psychologically acceptable range of prices for a single product and approximately estimate price elasticity.
Conduct automated TURF analysis on results of any Conjointly experiment (or an outside dataset) using this user-friendly TURF analysis tool.
Test pricing of new and existing consumer goods in a competitive context using elasticity charts, revenue, and profitability projections.