Build what customers would choose.

Understand what drives customer choices. Conjoint asks people to choose between combinations of features, benefits, and prices. Iterate builds the comparisons, and Research Assistant helps you refine products and services.

Explore a streaming plan

Change the offer
Monthly price
$12
Advertising
With ads
Simultaneous streams
2
Example preference share
36%

Change the price or remove ads to explore how preference could shift.

Illustrative preference among three competing plans.

Introducing

Conjoint analysis

Features, benefits, and price,
considered together

Understand what
drives the choice

Compare product ideas
before you launch

Put the trade-offs in front of customers

Customers weigh the whole package when they make a choice. Conjoint presents different combinations across several rounds, showing which trade-offs people are willing to make.

Choose what to test, such as features, service benefits, or price, and the variations for each. Iterate generates the combinations for customers to compare.

Different combinations to compare

Price
$8 · $12 · $16 a month
Advertising
With ads · Ad-free
Simultaneous streams
1 · 2 · 4
Plan A
Monthly price
$8
Advertising
With ads
Simultaneous streams
1
Plan B
Monthly price
$12
Advertising
With ads
Simultaneous streams
2
Plan C
Monthly price
$16
Advertising
Ad-free
Simultaneous streams
4

Each round presents a different set of plans.

See what drives the decision

Research Assistant uses hierarchical Bayesian modeling to estimate which features, benefits, and prices influence customer choices, while allowing preferences to differ from person to person.

See the relative importance of each attribute and the appeal of its variations, with 95% credible intervals to understand the uncertainty behind the results.

Learn how Conjoint analysis works.

What matters most in this example?

Relative importance
Price45%
Advertising35%
Simultaneous streams20%

Importance depends on the variations tested. Lines show illustrative 95% credible intervals.

Explore alternatives before you commit

Use those individual preference estimates in the simulator to compare new combinations of features and prices. Explore how changing an offer could shift preference before deciding what to launch.

Use those preferences alongside costs, revenue, and your product strategy to decide which direction to take.

Modeled preferences and the simulator require Research Assistant.

An ad-free plan, at the same price

Plan B’s monthly price
$12 → $12
Advertising
With ads → Ad-free
Example preference share
36% → 51%

In this example, preference rises when ads are removed. The decision also depends on the advertising revenue you’d give up.

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Teams that stopped guessing.

Product, research, and lifecycle teams use Iterate to get answers straight from the people who use what they build.

Adam Waxman, Director of Product Design at SeatGeek

“Iterate makes it super easy to ask for feedback in a way that is consistent with our brand’s look and feel. And the customizable colors and fonts are just the beginning. This type of attention to detail is apparent throughout the entire product, making it a pleasure to use both for us and our users.”

–Adam Waxman, Director of Product Design at SeatGeek
Julia Stein, Director of UX Research at Match Group

“Iterate’s Braze integration was a game changer for us. It allowed us to seamlessly deploy surveys in-app, gather contextual insights, and significantly reduce the workload on our development team. The ability to embed feedback points throughout the app during beta testing was invaluable.”

–Julia Stein, Director of UX Research at Match Group

Got any questions?

We’re happy to help walk through any open questions you may have, just let us know.

Looking for help?

Visit the help center to learn best practices, getting started guides, FAQs, & more.