ProductPinion is an A/B testing software. It provides a platform where sellers can test images, copy, pricing, and product positioning with paid real shopper focus groups before launching or updating a listing. The idea is to reduce guesswork and improve conversion rates through early, in-context feedback collected via tools like video shop-along and search simulation tests.

In this interview, Sadlak shares the challenges sellers face in making data-informed decisions on platforms like Amazon, what led him to create ProductPinion, and why he believes listening to users, not just algorithms, is increasingly vital in e-commerce.

How it all started

After scaling and successfully selling his first Amazon e-commerce brand, entrepreneur Andri Sadlak realised a critical flaw: Amazon sellers had almost no direct way of engaging with customers. Unlike Shopify, where brands fully own their customer relationships and data, Amazon's closed ecosystem forced sellers to rely on guesswork and assumptions.

To overcome this, Sadlak pioneered an online community, using Facebook groups and email lists, to directly poll customers on everything from product design and pricing to differentiation strategies. Leveraging this feedback was transformative: his first brand, Travelisation, achieved remarkable early success in the Amazon FBA space, driven by genuine shopper insights rather than assumptions.

“Brands succeed when they put customers first,” Sadlak says. This belief led him to co-found ProductPinion, an innovative platform allowing Amazon sellers to obtain detailed qualitative and quantitative customer feedback, optimising products to boost conversions, leveraging the Amazon algorithm that rewards high-converting listings.

ProductPinion launched with numerous industry-first innovations. It features a Video Shop-along Simulation, designed for qualitative testing tailored to Amazon's marketplace. The platform also pioneered Marketplace Search Simulation testing, improving the relevancy of feedback. To ensure the quality of responses, ProductPinion reinvented shopper filtering by combining human behavioural psychology with AI to exclude dishonest or low-quality participants. It was the first to allow the exclusion of previous test participants, ensuring fresh perspectives for each iteration. Additionally, ProductPinion enables brands to poll their audiences for free, benefiting those with established online communities. The platform is also the first SaaS tool to integrate AI-generated Amazon product images through Variationizer.com and to directly connect with Amazon’s image assessment tool via ImageChek.com, simplifying the listing optimisation process.

Initially, ProductPinion launched with about 30 sellers from Sadlak's personal network, Ecom Brand Builder. This beta group provided crucial feedback, fine-tuning both the UX/UI and identifying the types of testing most valued by Amazon sellers.

Today, ProductPinion empowers over 9,000 active brands globally and supports hundreds of Amazon-focused agencies, collectively serving thousands more e-commerce businesses. Its proprietary testing methods have consistently boosted Amazon conversions by an average of 14.6%. A vegan beauty brand Grace & Stella increased its monthly sales by 42% within just six months of using ProductPinion’s Shopper Optimisation Process (SOP).

Yet Sadlak's vision extends beyond Amazon. Sellers now leverage ProductPinion for rapid qualitative testing on platforms including Shopify, Walmart, Target, Etsy, and even TikTok Shop.

As Andri often reminds brands, "Data isn’t just numbers; it’s the voice of your customer. Listen carefully, and they'll show you exactly how to win."

Key growth metrics

Screenshot from ProductPinion’s Stripe account as of April 2025 (revenue/customer figures hidden for confidentiality). Legend: Purple line: Last 12 Months; Grey line: Previous 12 Months

In the past year, ProductPinion saw a 112.7% increase in net sales and a 79.1% growth in new customer acquisition. These figures stand out, especially for a young, bootstrapped startup operating in a competitive e-commerce marketing and analytics space alongside well-funded, established companies.

Fuelling ProductPinion’s rapid expansion is a customer-centric, insight-driven approach and strategic partnerships with elite Amazon seller communities collectively generating over $10 billion in sales. Clients include two of the top six largest Amazon sellers worldwide, with endorsements from influential networks such as Million Dollar Sellers (MDS), Titan Network, Top Dog, the FBA Start-Up, Seller Pro Academy, and Billion Dollar Sellers.

ProductPinion was recently named the #1 Best A/B Testing Software at the Golden Seller Awards, earning top votes from Amazon sellers over tools like PickFu and Intellivy. The recognition reflects the platform’s increasing traction and credibility within the e-commerce optimisation space.

The connections with industry groups and the recognition of ProductPinion’s technology by key seller communities have made it a valuable resource for brands seeking to improve their market performance.

A bestseller born from data

We asked Andri to share a real-world example of how data-driven testing can outperform instinct, and he pointed to a case that’s all too common among Amazon sellers.

Screenshot from Amazon’s Manage Your Experiments (MYE)*, showing results after using ProductPinion’s Shopper Optimisation Process (SOP). In just four weeks of testing a new product image against the original, the optimised version delivered an additional $4,307 in sales, representing a remarkable ROI of 1,005% from ProductPinion’s total cost of only $447. This experiment helped secure the product’s position among Amazon’s top 10 best-sellers in Beauty & Personal Care (USA)

A standout success involved a major beauty brand initially relying heavily on intuition for Amazon Experiments. Before leveraging ProductPinion, the brand’s two-week-long Amazon MYE test* comparing their existing and a new main product image led to $13,507 in lost sales, decreased keyword rankings, and weakened Amazon Ads performance due to the underperformance of the new image.

Recognising the pitfalls of intuition-based decisions, the brand adopted ProductPinion’s structured Shopper Optimisation Process (SOP) for their next new product launch. Using innovative qualitative tools – Video Shop-Along Simulations and Marketplace Simulation Polls – they quickly reversed the trend. Within four weeks, this new product launch generated an extra $4,307 in Amazon MYE test* sales and rapidly secured the #1 Best Seller spot in Amazon’s highly competitive ‘Eye Wrinkle Pads and Patches’ category.

*where Amazon alternated evenly between the original and a new product image

Over the next seven months, this product achieved multiple Amazon’s Choice badges and eventually ranked as the #10 best-selling item across Amazon’s entire Beauty & Personal Care category, becoming one of the aggregator’s most successful launches ever.

Sadlak emphasises,"Validating your marketing through real customer insights isn't just smart, it's transformative."