Squoosh AI helped Companion Intelligence test storefront changes before launch, compress 30-day A/B testing cycles into same-day decisions, and turn buyer hesitation into clearer paths to cart.
Companion Intelligence tested its high-ticket AI hardware store with Squoosh AI before exposing a single change to live traffic. The payoff: a 27% increase in revenue per visitor, a 12% live-confirmed conversion lift, and financing engagement up nearly fivefold.
Companion Intelligence sells products that require more than a quick impulse decision. Its shoppers are evaluating private AI hardware, local compute, networking, backup power, remote management, and the right configuration for their workflow. That kind of buying journey creates a different conversion challenge: people are not just asking, "Do I want this?" They are asking, "Is this the right system for me, and am I confident enough to buy it now?"
For Companion Intelligence, conversion rate optimization (CRO) was not only about changing button copy or moving a section higher on the page. It was about helping shoppers understand the product line, feel confident in a high-ticket purchase, and move through the buying journey without unnecessary friction.
That made Companion Intelligence a natural fit for Squoosh AI.
Squoosh is built to help ecommerce teams test site changes against synthetic shoppers before exposing those changes to live traffic. Instead of waiting weeks for every traditional A/B test, teams can evaluate variants quickly, identify likely winners, reject weaker ideas before launch, and then confirm the strongest recommendations with real customers. Its ecommerce optimization workflow is designed around rapid synthetic-user testing, ranked recommendations, and live confirmation rather than replacing human-traffic validation entirely.
The challenge: high-intent shoppers still needed more confidence
Companion Intelligence had strong products and a clear market opportunity, but the buying journey carried natural friction.
A shopper considering local AI hardware may need to compare systems, understand performance tradeoffs, evaluate financing, think through accessories, and decide whether the product fits their actual use case. Even motivated shoppers can pause when the page asks them to make too many decisions at once.
The team wanted to answer questions like:
- Would shoppers respond better if financing appeared earlier in the journey?
- Were product pages doing enough to turn technical interest into purchase intent?
- Could clearer page structure help more people move from product detail pages to cart?
- Which changes were worth testing live, and which should be rejected before customers ever saw them?
Traditional A/B testing could answer some of those questions, but not quickly enough. A 30-day test cycle meant fewer ideas could be explored, and every live test carried an opportunity cost.
Companion Intelligence needed a faster way to learn.
The solution: synthetic-shopper testing before live traffic
Using Squoosh, Companion Intelligence evaluated product-page and funnel changes in a sandbox before pushing them live.
The focus was not to optimize for vanity engagement. The team looked at moments that mattered in a high-consideration purchase: financing clarity, product-page confidence, and the path from product detail page to cart.
Squoosh helped the team compare different approaches before committing engineering or design time to a live rollout. Some variants made financing more visible. Others adjusted the page hierarchy to reduce decision friction. Others clarified the next step for shoppers who were interested but not yet ready to buy.
The biggest value was speed. Instead of treating every idea as a 30-day live experiment, Companion Intelligence could use Squoosh to narrow the field first, promote the strongest recommendations, and reserve live confirmation for the ideas most likely to matter.
The results: revenue per visitor up 27%, conversion up 12%
After implementing and confirming Squoosh-recommended changes, Companion Intelligence saw a 12% live-confirmed conversion lift and a 27% increase in revenue per visitor.
The most dramatic improvement came from financing engagement. Before optimization, only 2.4% of product-page sessions clicked into financing. After the Squoosh-informed changes, that number rose to 11.8%.
That shift mattered because financing was not a side interaction for Companion Intelligence. For high-ticket AI hardware, financing clarity directly affects whether a shopper can imagine moving forward. By making that path easier to find and understand, the team turned a point of hesitation into a stronger conversion step.
Product-page momentum improved too. PDP-to-cart progression rose from 3.8% to 6.1%, showing that more shoppers were moving from evaluation into active buying behavior.
Just as importantly, Companion Intelligence compressed a process that traditionally took about a month into same-day decision-making. Squoosh helped the team evaluate many more ideas up front, reject lower-performing variants before launch, and focus live testing on the changes with the strongest signal.
What changed
Squoosh helped Companion Intelligence move from debating page changes to testing buyer behavior.
Instead of guessing whether shoppers needed more technical detail, more financing visibility, or a clearer next step, the team could test those hypotheses before launch. That made the optimization process faster and more focused.
The winning changes shared a common theme: they reduced uncertainty.
- Financing became easier to discover.
- Product pages did a better job carrying shoppers from interest to action.
- The path to cart became clearer.
The team spent less time waiting for slow tests and more time acting on evidence.
Why it worked
Companion Intelligence's products are sophisticated, but the buying experience needed to make the decision feel simple.
Squoosh gave the team a way to see where shoppers were likely to hesitate before those moments became lost revenue. That changed the role of experimentation. It was no longer a slow, one-test-at-a-time process. It became a faster pre-launch learning loop that helped the team decide what to ship, what to refine, and what to discard.
For a store selling high-consideration AI hardware, that speed matters. Every improvement to clarity, confidence, and purchase readiness can have an outsized impact.
The impact
Squoosh helped Companion Intelligence turn ecommerce optimization into a faster, lower-risk process.
The team moved from 30-day testing cycles to same-day decisions, improved financing engagement nearly fivefold, increased PDP-to-cart progression, and confirmed meaningful lifts in both conversion and revenue per visitor.
Most importantly, Companion Intelligence gained a better way to answer the question every ecommerce team faces before making a change:
Will this actually help more customers buy?
With Squoosh AI, Companion Intelligence could answer that question before shipping changes to the live store.
Companion Intelligence builds hardware for the future of private AI. Squoosh helped make the buying journey just as intelligent.
For ecommerce teams that want to improve conversion without waiting weeks for every answer, Squoosh offers a faster way to test, learn, and ship the changes most likely to move revenue.