Let us explain the journey of one of our clients.
Everything started
because they were facing significant churn and downsell losses every month,
and their cross-sell
and upsell strategy was quite reactive, leaving money on the table.
The first thing we proposed was building an initial proof of concept
in order to validate that their data quality
was enough to generate predictive insights and generate trust in the organization.
Then we proved value in the market.
A targeting model to predict customers at risk was launched in-market,
and we stood up a team of reps to proactively approach them.
At that point in time, internal teams started to really believe
that this AI-based transformation could be a game-changer.
It was not until then that we started scaling.
First with the initial use case on retention to all reps,
and then with additional use cases such as cross-sell
of additional products and up-sell to higher product tiers.
Today, more than 600 sales reps are using AI-based recommendations
powered by our technology to drive all their sales campaigns. After this
transformation, they are today leading in the key indicators in their industry.