How Gigit.ai achieved +30% conversion boost with early adopter feedback
This case study shows how Gigit.ai, an AI-CRO platform, used AppStoreResearch (ASR) to connect with Shopify sellers during early product development. Gigit.ai used ASR’s early adopters and data to validate ideas, refine its product, and grow an engaged user base.
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Overview:
Gigit.ai is an AI-powered CRO tool for Shopify, designed to boost conversions. It dynamically adapts your storefront's UI/UX to match customer goals, improves product discoverability for large catalogs, and increases sell-through rates by surfacing relevant SKUs.
We speak with
Inez Wihardjo, Founder at Gigit.ai
46 completed calls
"Participants who tested the product saw their conversions boosted by +30%, with some achieving a 2.6x increase. ASR provided us with the tools and community we needed to turn an idea into a solution that truly resonates with our target audience."
The Challenge
As a startup founder at Gigit.ai, an AI-CRO platform, we faced a significant challenge when launching our new set of products. We needed to validate our ideas with customers and find an initial group of users willing to try out our product.
Before using AppStoreResearch (ASR), I relied on outbound efforts through platforms like Storeleads. However, the response rates were too low, making it incredibly time-consuming to reach the right audience at scale. On top of that, outbound messaging often came across as a "pitch," which wasn’t ideal for finding Shopify sellers willing to collaborate closely and help us shape our product.
" On top of that, outbound messaging often came across as a "pitch," which wasn’t ideal for finding Shopify sellers willing to collaborate closely and help us shape our product."
The Solution
AppStoreResearch provided a game-changing solution. ASR’s large community of early adopters includes individuals and businesses willing to take a chance on early-stage startups and serve as valuable design partners.
I appreciated how ASR allowed me to access detailed participant information upfront, such as the apps they use, their revenue, and their catalog size. This made it easier to identify and invite the right participants for our research.
Using ASR, I conducted over 40 calls with prospective users. Initially, these calls were done before our product was ready, which was crucial for shaping our product based on real user feedback.
" Once our product went live, ASR’s early set of believers helped solidify our direction and ensured we were building something that users genuinely wanted."
Key Advantages of AppStoreResearch
- Access to a large community of early adopters willing to collaborate with early-stage startups.
- Detailed participant information, including apps used, revenue, and catalog size, for better targeting.
- Ability to identify and invite the right participants for research.
- Facilitates meaningful conversations with prospective users to shape product development.
- Helps validate ideas and gather real-world user feedback before launching a product.
- Provides a scalable method to connect with innovative Shopify sellers.
- Saves time compared to traditional outbound efforts with higher response rates.
- Builds a network of early adopters who can help refine and validate the product direction.
- Demonstrates tangible impact, with participants reporting significant conversion boosts.
The Results
Thanks to ASR, we were able to connect with innovative Shopify sellers who collaborated with us during the early stages of our product development.
This process not only validated our ideas but also shaped the direction of our product based on real-world needs. The participants we connected with through ASR became our early adopters, and their feedback helped us build a product that delivers tangible value.
For example, participants who tested the product saw their conversions boosted by +30%, with some achieving a 2.6x increase. ASR provided us with the tools and community we needed to turn an idea into a solution that truly resonates with our target audience.
