In reality, most digital marketers appreciate that consumers tend go through a number of interactions or clicks throughout the buying cycle from awareness and consideration to intent and purchase.
Giving credit to Facebook, or any other channel, solely when it is the last ad clicked before the conversion does not properly reflect its value.
But there is not a lot of data to highlight the flaws of last click. So we tested the model by analysing the campaign performance data for our clients who manage ads across multiple digital marketing channels.
As not all marketers define conversions the same way, we used a Cost-Per-Acquisition (CPA) metric across all advertisers in the sample. We calculated CPA by aggregating all recorded conversions and dividing that number by the total media cost of the ads which drove them.
We then compared the last click model to five other industry standard attribution models.For each comparison, we found that last ad/click under-valued Facebook ads:
- First Only (first click receives all credit): Facebook was undervalued 30%.
- Prefer First (first click gets most credit, subsequent click get decreasing credit): Facebook undervalued 20%.
- Divide Equally (credit is shared equally across all clicks): Facebook undervalued 16%.
- Prefer Last (credit given increases from first to last – last click gets most credit): Facebook undervalued 12%
- U-Shaped (first and last clicks get majority weighting with middle clicks getting less): Facebook undervalued 15%
The study underlines why marketers who rely on last click attribution to optimise their campaigns could be making million-dollar decisions based on flawed data.
They need to make use of models and techniques that better reflect the reality of consumer behaviour. The upshot will be improved budget allocation and campaign performance.
Here’s the full whitepaper: Quantifying the Impact of Multi-touch Attribution