The goal of performance marketing is always to spend your money smarter and get better results. Optimizations play a huge part in that. But it is often time-consuming to dig out the necessary learnings and insights you need in order to apply the optimizations to improve your results. We’ve automated the process, saving you a ton of time while still making sure you keep spending your money smarter and keep getting better.
How can I optimize my campaign?
Optimizing campaigns has always been a very manual process, which is exactly why it takes a lot of your precious time. In order to perform the necessary adjustments to your campaign, you need to monitor results and see if performance is increasing or decreasing as the campaign is spending. You also have to compare the results with the results you usually see in order to determine if the campaign is better or worse than any previous campaigns. And finally, you need to dig out all the insights and learnings such as ‘what parts of the campaign are the key drivers’ in order to determine if anything should be switched off if it’s not working, or maybe you should consider adding more of something that works. By now it’s probably clear that all of the above is not something that’s done in just a couple of minutes. It takes time to extract all the data you need and analyze it in order to dig out the actions you need to take to improve your campaign.
How can deepdivr help me with that?
We’ve developed an algorithm that does all of the above for you at your request. We’ll look at a number of things, including your campaign’s development over time and how it compares with your benchmark results. You’ll receive actionable recommendations on how you can improve your campaign. This ensures that you don’t spend too much time digging, but you still get all the insights and learnings you need to optimize your campaign.
In the example below, we have a campaign that has been active for just about two weeks. The campaign is active on Facebook and Instagram, and the objective is Reach. Based on the objective, our algorithm recommends a number of actions you can take to improve the campaign’s performance.
As you can see, the Reach has increased with 15,67% from week 22 to week 23. The cost per 1.000 people reached has increased by 4,61% – which is close to half of what we usually pay (84,27% decrease).
So, based on the development of the campaign, we can determine that the cost per 1.000 people reached is increasing, not because the frequency is increasing, but because we’re starting to pay more for the impressions.
Thus we recommend to increase the number of potential impressions, which can be done by taking one or more of the following actions:
- Adding platforms to the mix to increase the number of potential people to reach. In this case Messenger and Audience Network, since the campaign is already live on Facebook and Instagram.
- Expand the target audience to add more potential people to reach.
- Increase the length of the campaign in order to reach more of the potential people already available in the current target audience and platforms.
You’ll always have the option of clicking How did we get to this conclusion?. This will reveal a full walkthrough of the calculations we did in order to get to the above recommendations.