Evaluate your productCheck fit
Neosight technology

Built to find
what makes people buy.

Every sales flow is a hypothesis. Our technology helps us test it, trace the response and put the next idea to work.

The sales journey

From the first impression
to the next purchase.

Three connected sales opportunities. At each one, we test the sequence and measure what moves people forward.

  1. Video / Impression to install

    Make the first seconds count.

    Find the promise that earns attention and gives someone a reason to install.

    1. Video impression
    2. Creative variation
    3. Install
    What we test
    Hook, story, demonstration and call to action.
    What tells us it works
    Impression-to-install conversion and cost per install.
  2. Onboarding / Install to purchase

    Carry the promise into the purchase.

    Shape the sequence that helps a new user understand the offer and make a buying decision.

    1. New install
    2. Onboarding sequence
    3. Purchase
    What we test
    Screen order, message, offer and paywall.
    What tells us it works
    Step conversion, purchase rate and cost per buyer.
  3. In-app sales / Trigger to purchase

    Meet intent with the right offer.

    Connect a meaningful in-app action to a relevant purchase or upgrade opportunity.

    1. User action
    2. Sell or upsell offer
    3. Purchase
    What we test
    Trigger, timing, message, price and offer.
    What tells us it works
    Trigger-to-purchase conversion and revenue per offer view.

Each result informs the next variation, across the entire sales journey.

Precision at scale

The average hides
the opportunity.

One audience responds to a demonstration. Another needs a different promise or price. A single conversion rate hides those differences.

Our technology manages thousands of microsegments per product, keeping the audience, sales variation and economics together. That gives each experiment a useful context.

AudienceSales variationEconomics

A more precise view of who responds, to what, and at what cost.

From observation to action

A useful signal changes the next move.

We agree event definitions and attribution with your team, then compare variations against a baseline. These are examples of the questions that guide our work.

Attention is strong. Installs lag.

Test whether the video promise and install call to action tell the same story.

Cost per install

People reach the offer, then leave.

Compare a clearer value explanation or a different offer sequence.

Install-to-purchase rate

An in-app offer gets few buyers.

Test a different trigger or timing before changing the price.

Revenue per offer view

Attribution gaps and small samples stay visible. We scale when the available evidence supports the economics.

Technology, operated by our team

You bring the product.
We run the experiments.

We agree the events and integrations, build the sales variations and manage the testing cycle. You get a clear account of what changed, what happened and what we recommend next.

Explore the sales partnership
Your next sales opportunity

Where could your flow convert better?

Show us your app and the buying journey. Together we will identify the first sales opportunity worth testing.

Evaluate your product