Understand the SKAdNetwork data to maintain the performance level of your UA campaigns
Since May 2021 (iOS 14.5), Apple has implemented the ATT, which limits the feedback of data for advertising campaigns. Apple’s aim is to promote the protection of user data. The problem for the mobile industry: acquisition campaign data is no longer fed back as minutely and no longer allows for the reading performances in the same way within tracking tools.
As a reminder, if the user opts in on the consent pop-up, then we can recover the IDFA and use deterministic attribution as a basis. The SKAdNetwork is the allocation solution offered by Apple. It serves as a back-up when the data is not received in the event users don’t opt in.
Up to 80% less IDFA on IOS
According to Appsflyer, 40 to 50% of people give their consent via the pop-up. This does not mean that the IDFA is fed back, because the user must also have agreed on the distribution platforms (such as Facebook, TikTok, Snapchat, etc.). In the end, we find ourselves with only 20 to 30% of the IDFA fed back, which is critical for the results to be read correctly.
As the iOS paid campaign data is now limited, there is a real challenge, namely in reading the said data in order to make the right decisions in terms of the profitability of user acquisition campaigns. However, today, we see app editors having real difficulty in understanding and processing this data. Even if the opt-in and SKAdNetwork logics are integrated, this is not the case for reading the results. It is easy to consider that the performances are poor without understanding why and cutting the campaigns in questions, thus cutting yourself off from a potentially profitable audience.
Paid installations attributed to organic
In this customer example, we see that less deterministic data has been fed back since the ATT was implemented. Some has not been fed back by Apple in the SKAdNetwork because the users opted out. They therefore fall into organic. In this case, we clearly see that 15% is attributed to organic, whereas the true campaign structure appears more like the one on the left, and so we need to understand where this 15% has come from.
Thanks to our methodology, and our predictive modeling, we are able to re-assign these installations for a more accurate and exploitable reading of the data.
In this case, we therefore apply the prediction using the SKAdNetwork, the Android organic and the IDFA-related data, in order to try and offset the variance between graphs 1 and 2. “This data may not be organic, it comes from Snapchat or Facebook, etc.. ». Our teams go even further down the funnel. Most of the time only the installation is fed back for paid campaigns via SKAN. This solution allows for predicting the other events monitored in the campaigns and for having a better read of the performances.
What methodology should be put in place?
At Addict Mobile, we assist our customers in implementing a high-performance mobile marketing strategy. Since the release of iOS 14.5, we have been assisting all our customers with this change in order to continue to generate performance through our campaigns. To do this, we have established:
- A specific team for the subject, which ensures that all Addict Mobile employees understand the challenges linked to these new tracking methods and adopt the right approach.
- Regular monitoring of all the new arrivals on the market, new Apple features and MMP modules. Our position as the preferential partner of tracking tools and acquisition sources allows us to be informed upstream of these developments.
- The implementation of a dedicated methodology. We analyze all available data. From these data we make projections. We create projections from these data. By studying how deterministic data behave, we build prediction models. This is a heavy, important and specific work for each application.
- The provision of a Dashboard adapted to these issues to track the data integrating these predictions facilitating the reading and understanding of iOS performance within the same dashboard. This way we have a global vision that allows us to make better decisions.
- The creation of specific reports adapted to the needs of our customers for a better understanding. Without this work, the latter would be obliged to go to the various Dashboards (for MMP, for SKAdNetwork, etc.) in order to collect the data, which is rarely done because it is too cumbersome to implement.
As Android has also announced the implementation of limitations in the near future, fully understanding the specific features of these new tracking methods has become the #1 challenge for all mobile apps in 2023. We need to be ready for this if we want to continue to get everything out of user acquisition campaigns.
Article in relation
Our tips for reaching engaged users on TikTok
Dating apps: What are the User Acquisition constraints?
Dating apps need acquisition to support their growth, revenue, and number of active users. Nevertheless, they are subject to constraints that are specific to this vertical. Choosing a strategy Before launching your campaigns, you need to think about the overall strategy for your app and your objectives: – Gender distribution: Separate by gender and tailored content to make sure you can control the investment and, therefore, the recruitment needs for each gender. – Objectives by gender and, therefore, adapted tracking: Make sure that the tracking on your MMP has been correctly tagged so you can track your performance in the best possible way, even if the events being tracked are different. – Objectives by country: it is also important to analyze app awareness in each country and for each gender as this will particularly affect the types of campaigns launched and the distribution of investments. – Investments according to seasonality: Dating apps are particularly affected by seasonality (vacations, back to school, weekends, Valentine’s Day, etc.). You need to correctly analyze the top recruitment periods for the app to know how to distribute the annual budget and not lose pockets of profitability. Choosing distribution sources The inventory of acquisition sources […]Publié le 7 September 2022
Our creative best practices
A few months ago, we discussed the importance of creative in your mobile acquisition campaigns and how to find creative that works and positively impacts your performance. How do you achieve this goal? Here are our creative best practices: Personalize the message according to the various targets – The creatives must be tailored to each type of target audience. – This is even more important as the arrival of iOS 14 has restricted targeting options. The creative is thus a different way of targeting. – It is therefore crucial to understand your users’ motivations, needs and centers of interest. But also their fears, what stops them, what will make them hesitate to click. – This reflection on users and the levers to make them move on to action must be conducted upstream in order to brief the creative teams in a relevant fashion and produce effective creatives without losing time. – Be open to all types of tests, even the most daring, as no-one knows what may be effective and catchy. For the Cityscoot campaign, personalization of creatives allowed for procuring a CPA => 30% above average. For the Majelan campaign, which targets its main personas through dedicated creatives that […]Publié le 13 July 2022