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How Relevant Bits Used Qualifying Questions to Research the Exact Shopify Merchants It Needed

Relevant Bits, maker of Context, a top-of-funnel personalization app for Shopify, knew that building the wrong features is expensive, so it needed to talk to exactly the right merchants and agencies before committing. Using app store research, the team replaced costly 1-to-1 outreach with filtered, qualified audiences, completing 4 projects and 28 calls with a 100% Excellent researcher rating.

4

Completed Projects

4

Completed Projects

28

Completed Sessions

28

Completed Sessions

97%

Participant Quality Score

97%

Participant Quality Score

RELEVANT FOR

Shopify app teams validating features before building, founders who need to reach a precise ICP (brands vs. agencies, specific technical expertise), research teams collaborating in one account.

CHALLENGE

Why Finding an ICP-Matched Audience Was Relevant Bits' Biggest Challenge

Building apps is expensive, especially if you build the wrong things, so Relevant Bits runs studies before committing: understanding whether there's an opportunity to build personalization APIs for headless environments, and whether Context's current features meet the needs of agencies and brands on Shopify.

In the past, many of those interviews came from time-consuming, costly 1-to-1 outreach, LinkedIn, and asking for recommendations in the Shopify space. The biggest challenge was always the same: finding an audience that actually matched their ICP.

"Our biggest challenge was always trying to find an audience that matched our ideal client profile (ICP)."

SOLUTION

How Qualifying Questions Let Relevant Bits Target Brands, Agencies, and Headless Experts

With app store research, Relevant Bits could filter audiences down to the exact needs of each study, sometimes brands, sometimes agencies, and sometimes people with specific knowledge in an area like headless or APIs.

The ability to ask qualifying questions was the game-changer, ensuring every participant genuinely fit.

The team also brought multiple members into a single account, recently distributing participants from one study across three teammates, and found participants almost as eager to chat as they were.

"The simple ability to filter audiences down based on the needs of the study... Having the ability to ask qualifying questions is a game changer."

RESULTS

How Precise Research Helped Relevant Bits Avoid Building the Wrong Thing

Across 4 projects and 28 calls, Relevant Bits used precisely-targeted conversations to test whether Context met the needs of brands and agencies, and to explore extending personalization into headless and API environments, exactly the kind of validation that keeps an app team from investing in the wrong features.

Mark's work as a researcher earned a 100% Excellent rating, and the team came away genuinely enthusiastic about the service.

"We have really loved the service. Especially now that we can have our team involved in a single account... We have also found the participants are almost as eager as we are to chat."

FAQ

FAQ

How did Relevant Bits recruit Shopify merchants for user research?

What made qualifying questions so useful for Relevant Bits?

What results did Relevant Bits get from app store research?

Who at Relevant Bits used app store research, and for what?

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Open a Free Account

Book a Discovery Call

with our founder

Open a Free Account

Book a Discovery Call

with our founder

Open a Free Account

Book a Discovery Call

with our founder

How did Relevant Bits recruit Shopify merchants for user research?

What made qualifying questions so useful for Relevant Bits?

What results did Relevant Bits get from app store research?

Who at Relevant Bits used app store research, and for what?

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