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Florent Diverchy - 14 Jun 2019
Suzy (name has been changed), CRM manager at a prestigious automotive company, faced a challenge at the end of last year. Her brand had just launched a new model, and she needed to find new prospects to sell the car to. The problem was tough:
Lacking the right solution to her challenge, she came to us, hoping to receive the help she needed from our Marketing experts. And they indeed found an interesting solution. Here’s how they helped Suzy reaching her goal.
Starting by analyzing the profile of the current clients of Suzy’s company, our BI team discovered an interesting trend: as expected, the buyers tended to be gathered in a few cities, having the reputation of having a higher standing. But the trend was even more precise than that: each city of Belgium can be split in a few dozen neighborhoods, and by looking more closely, one could see that the clients were gathered in the highest standing neighborhoods of the high standing cities.
Brainstorming around this information, Suzy & the Bisnode experts came to the following idea: in the same way as members of a loyalty program bring their friends to the program via word-of-mouth (the famous “member-get-member effect”), could it be possible that seeing the car everyday lead neighbors of the first drivers of the model to their reseller, to buy one too?
Seeing the lack of alternative, it was worth the try. Suzy & the Bisnode experts decided to launch their first “neighbor-get-member” campaign.
Two months after the initial campaign, it was time to check how efficient it was. Suzy delivered to Bisnode the list of the people who bought the car since the end of the campaign, and ask the experts to try and link them to the initial campaign. Again, the quality of Bisnode B2C referential was key to generate this “close-loop reporting”. By having a household view on the population of Belgium, Bisnode experts could not only identify the buyers who were contacted by their campaign, but also buyers whose partner was contacted.
The results put a smile on Suzy’s face:
it could be proven that among the few hundreds orders generated between the end of the campaign and the analysis, a significant part was made by people targeted during the campaign.
More precisely, 40% of the orders could be tracked back to Bisnode initial target. Among them 32% were exposed to the Display Ad, and 8% were double-touched by the Display and Facebook.
The best of it? As the campaign budget represented far less than 40% of the total budget that was spent to advertise the new car, the Return on Investment generated by Bisnode was more than satisfying!
What about Suzy? Well she still has her smile on her face: next time she has to promote a new car, she knows where to go to overachieve her objectives.