Build customer centric marketing strategies where your user is providing data worthy of an experiment. Remember your opinion is just that; an opinion.
-Nitesh Sharoff

What we do

We’re scientists that use statistics to optimise your site for revenue.

Draw hypotheses from your analytics

Implement A/B tests

Improve conversion rate

By diving into your data we’re able to isolate behavioural patterns that visibly shows purchase intent.

Using video recordings, heatmaps & online surveys we further understand if our conclusions have a viable testing ground.

Once the data supports the hypothesis, we set up a A/B test monitoring Add to Carts, clicks to our sections & multiple other insights.

A/B/n tests are set up allowing us to show different variations to a percentage of the site traffic. We’re monitoring several goals ranging for clicks, revenue & interaction.

All the data is computed using machine learning and we use statistical significance to determine whether the test is valid & worth implementing.

After extensive testing we implement the successful test into the live environment & monitor improved conversion rates for the buyer segments defined.

Over 3-6 months and testing 5-8 tests we see drastic increments into optimisation efforts & increased revenue because of it.

A few principles we’ve used

Aesthetic-Usability Effect

Rome Without Coffee Effect

Ambiguity Effect

Framing Effect

Loss Aversion

Pain of paying

Serial Position Effect

Von Restorff Effect

Some of our customers

Heads Group we used behavour techniques to motivate their workforce & refer higher caliber candidates into the business taking them to £5M revenue.

Infruition had a product that revolutionised their industry. Within one year we achieved 3.57% conversion (versus their 1.2% – talmost tripling their revenue)

Geared for vouchers, Mobileheads achieved 100k hits/day. We implemented our “Paris without Coffee Effect” and achieved £41,900 a month more revenue.

AvLog Pro implemented analytics that show clear ehaviour of their users and because of good data, their product velocity sped up 11x.