Context & Objectives
A market leader in the automotive industry relies heavily on a wide variety of e-mail campaigns to acquire and retain customers. Working with multiple brands, each with different segments, the company has known a proliferation of variants of newsletters.
This led to an increasing complexity when it came to analysing their performance. It culminated in the data being consolidated manually, implying a process that was deficient in three ways: it was time consuming, vulnerable to human error and impaired in its analytical capabilities, as resources were spent on preparing the data rather than on optimisation. We set out to tackle these three shortcomings.
Data gathering and reporting automation
First, we automated most of the data gathering process, making it faster and more reliable.
To further improve productivity, we created a tool that automatically generates the campaign performance reporting, from the delivery status to the customer enquiry.
Once the data collection process streamlined, we started reviewing the specific sequences of actions of each audience. This allowed us to identify the best conversion paths.
Next, we proceeded to analyse the content and design of the “calls to action” with the best click rates. This enabled us to reliably test wording, colour and text size variants.
This consolidated approach helped us develop a more robust segmentation model feeding the company’s various marketing tools (e-mail campaign, paper mail, etc.)
Within a few weeks, our intervention led to:
a significant increase in the conversion rate, as newly implemented guidelines facilitated the sending of customised content to better targeted prospects.
a saving of 10 days per month through a reduced number of manual steps in the campaign reporting process thanks to automation.