Increase share of voice to beat competition with the competitor bank
How did AnData complete the goal?
Our team developed a unique scaling strategy and created a limit price for cost per conversion metric to achieve this goal.
The number of conversions increased 6x times. CPL also increased slightly but remained within the previously discussed target price. We maintain a stable CPL throughout the entire period of operation of the AnData optimizer.
During the first week, AnData was able to train the artificial intelligence model by trying different rates and comparing the results. That way AnData’s algorithm created the optimal settings to achieve the set-up goal. This period is highlighted in green on the graph and you can visually see that the conversation was changing.
After the training week, AnData’s optimizer shows stable positive metrics — the number of lead conversions is growing while CPL is keeping the best possible price