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Key questions it helps firms answer

01

Are you spending right on media channels? At what point do they stop yielding positive returns?

02

Do you know if the new product is working for you? How many markets should you test this in, before rolling it out?

03

Do you know which of your promotions should run across which goes and for how long?

04

Is your test design statistically sound or are you identifying test and control groups on a trial basis?

05

Have you factored in the differences between test and control groups and are in control of them?

06

Is the difference between test and control groups a result of the experiment or external factors?
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How it delivers value

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Design the test – how many markets and for how long

Leverage the flexibility to design a test around a customer group or geography relevant to your needs. Define the sample size in a test and control group, specify the desired level of confidence in rolling out the strategy and understand the right duration to run the test and get statistically significant results.

Identify test and control groups with the right matching

Explore options to assign weightages to multiple drivers at any point time that could impact results and minimize the inherent differences in test and control groups. Benefit from advanced techniques that run multiple matching iterations for the identification of groups for most accurate matches.

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Deep-dives and causal analysis on accurate results

Get the most accurate estimate of impact from the test treatment by eliminating all possible extraneous influences to results. Explore unbiased results and dive into granular levels to understand contributors, collaborate with teams and implement corrective measures on-the-go.

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Business Impact

Higher cost savings

Businesses can realize savings of millions of $ in rolling out new strategies across brands, backed by the most accurate data-driven experiments conducted in a timely manner.

Increased strategic value

Backed by higher confidence levels in executing a strategy, marketers can leverage test insights to maximize impact of their decisions and accelerate outcomes with greater executional control.

Greater agility in decisions

Decision-makers across the board can leverage wide range of predictive insights that can be shared across teams to foster collaboration and quick decisions.

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