Using our Data Platforms’ predictive dashboards, you can maximize ROAS in a far superior way to that of an MMP. We deliver powerful ROAS predictions, improved SKAN data and ongoing support to your teams.
Mobile measurement partners help mobile game/app developers and marketers better understand their data and therefore, maximize return on ad spend (ROAS). This means collating data from multiple sources and attributing it to channels, campaigns etc. so marketers can make more strategic decisions with confidence.
If a mobile game or app collects data about end-users for tracking and sharing purposes, Apple requires implementing an ATT consent form (since the iOS 14.5 launch in April 2021). This means obtaining explicit user consent to collect their personal data as outlined in Apple’s App Tracking Transparency webpage.
Previously, it was implicit consent and explicit opt-out but the implementation of ATT has virtually retired the once widely used IDFA.
This move by Apple resulted in a massive drop in data tracking and attribution accuracy (from more than 90% of player consents down to about 10-20%), which has been wreaking havoc in user acquisition performance and ROAS/ROI campaign visibility ever since.
To help developers get at least some visibility into their marketing performance, Apple created SKAN (StoreKit Ad Network, or SKAdNetwork) – a privacy-focused framework allowing limited attribution features for a short time after install.
A similar solution, using a slightly different approach was announced by Google as Privacy Sandbox for Android and is expected to be launched sometime in 2023. This will retire Android’s version of IDFA called GAID, further diminishing UA evaluation capabilities and performance on mobile.
These changes are colloquially called a “post-IDFA world” in mobile.
Given the privacy restrictions introduced by Apple’s ATT on iOS 14.5 and the analogous effort by Google on the up-and-coming Privacy Sandbox for Android, the role and out-of-the-box value of MMPs have dramatically changed.
The off-the-shelf MMP setup does NOT provide a reliable way to properly evaluate UA on iOS which leads many developers to drastically scale down or completely abandon their marketing spend on iOS. Developers and publishers need to invest much more resources into being able to track this effectively. And of course, many don’t have the staff, money and time to be able to do so.
Most MMPs work by implementing a software development kit (SDK) into the app/game. In short, this retrieves the signals needed to get metrics such as purchases, installs and so on. From there, the data can be unbiasedly examined and presented in a more standardized format with actionable metrics. This tends to be more reliable and much easier to interpret than basic SKAN (StoreKit AdNetwork) attribution data.
Some MMPs can provide more advanced tools such as ad fraud blocking which help prevent the likes of click flooding, SDK spoofing and install hijacking but this is very much dependent on the company.
Most MMPs will work with a variety of attribution models to best acquire the data most relevant to the client’s needs. The three most common models are; first-touch attribution which attributes a conversion to the first click/interaction of the conversion path; last-touch attribution which treats the last click/interaction as the conversion; and finally, multi-touch attribution which accounts for all touchpoints in the buyer journey and will associate percentages towards each touchpoint.
In short, SuperScale is NOT an MMP. Our solution delivers business impact with a more holistic approach to scaling mobile games and blockchain apps with industry-leading data analytics being at the core of everything. However, we deliver on the same objectives in a far superior way and actually partner with MMPs to do so (which is discussed in the next section).
Our complete growth solution entails two main components; Predictive Dashboards that offer unparalleled visibility into ROAS post-IDFA; and our ‘All-Inclusive Solution which not only increases player LTV through AI personalization and monetization; but also maximizes UA by helping scale your game to levels rarely seen post-IDFA.
Despite some optimistic marketing communications, MMPs require a lot of custom setup on the side of the game publishers with many limitations. As of now, they serve only as a small piece of the ‘actual’ data picture we present on our dashboards.
Within our Data Platform, we have worked with and/or tested every major MMP so we can uncover the full data picture and provide publishers with a single source of truth within their own data lake.
As an example, much longer prediction windows as D7 ROAS are needed to really help UA Managers decide if a campaign is performing well or not.
So instead, we do all the hard work and use SuperETL (our custom-built data connector and processor) to pull both mobile and off-chain data (if working with blockchain apps) onto a single dashboard. This includes using MMPs such as Singular, Appsflyer and so on, to help us collate a small portion of the attribution data which eventually helps formulate the likes of our industry-leading ROAS predictions.
We also have multiple in-house experts who will help set up all of the data connectors and provide ongoing support to your business. There is no need for you to have a huge team of in-house data scientists or for you to spend large amounts of time and resources – we do all the hard work for you.
Whether you are struggling to get ‘actual’ insights into your marketing performance or are not happy with your current MMP, SuperScale can help. Get in touch here for a 15-minute qualification call.
We’re the games growth specialists, using a combination of data and services to help publishers and owners grow their games. Get in touch for a free performance evaluation and find out how to get more revenue from your game while saving time and costs.
For technical issues and general inquiries, please contact our support.
SKY PARK Offices
Bottova 2622/2
Bratislava, 811 09
Slovakia
Beyond, Aldgate Tower
2 Leman St
London, E1 8FA
United Kingdom
We use cookies on our website.
By clicking “Accept All”, you consent to the use of all the cookies. You may click “Manage cookies” to provide a controlled consent or decline cookies. More information in Cookie Policy.
Cookie | Duration | Description |
---|---|---|
__cfruid | session | Cloudflare sets this cookie to identify trusted web traffic. |
cookielawinfo-checkbox-advertisement | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . |
cookielawinfo-checkbox-analytics | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Analytics" category . |
cookielawinfo-checkbox-functional | 1 year | The cookie is set by the GDPR Cookie Consent plugin to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Necessary" category . |
cookielawinfo-checkbox-others | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to store the user consent for cookies in the category "Others". |
cookielawinfo-checkbox-performance | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to store the user consent for cookies in the category "Performance". |
elementor | never | This cookie is used by the website's WordPress theme. It allows the website owner to implement or change the website's content in real-time. |
viewed_cookie_policy | 1 year | The cookie is set by the GDPR Cookie Consent plugin to store whether or not the user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
__cf_bm | 30 minutes | This cookie, set by Cloudflare, is used to support Cloudflare Bot Management. |
visitor_id971653 | 10 years | Used by Pardot to provide protection against hackers. |
visitor_id971653-hash | 10 years | Used by Pardot to provide protection against hackers. |
Cookie | Duration | Description |
---|---|---|
_calendly_session | 21 days | Calendly, a Meeting Schedulers, sets this cookie to allow the meeting scheduler to function within the website and to add events into the visitor’s calendar. |
_gaexp | 1 month 6 days 9 hours 24 minutes | Google Analytics installs this cookie to determine a user's inclusion in an experiment and the expiry of experiments a user has been included in. |
Cookie | Duration | Description |
---|---|---|
_ga | 2 years | The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors. |
_ga_PSXVCB6R9N | 2 years | This cookie is installed by Google Analytics. |
_gat_UA-173282740-1 | 1 minute | A variation of the _gat cookie set by Google Analytics and Google Tag Manager to allow website owners to track visitor behaviour and measure site performance. The pattern element in the name contains the unique identity number of the account or website it relates to. |
_gid | 1 day | Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously. |
CONSENT | 2 years | YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data. |
pardot | past | The pardot cookie is set while the visitor is logged in as a Pardot user. The cookie indicates an active session and is not used for tracking. |
Cookie | Duration | Description |
---|---|---|
uuid | never | MediaMath sets this cookie to avoid the same ads from being shown repeatedly and for relevant advertising. |
VISITOR_INFO1_LIVE | 5 months 27 days | A cookie set by YouTube to measure bandwidth that determines whether the user gets the new or old player interface. |
YSC | session | YSC cookie is set by Youtube and is used to track the views of embedded videos on Youtube pages. |
yt-remote-connected-devices | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
yt-remote-device-id | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
yt.innertube::nextId | never | This cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen. |
yt.innertube::requests | never | This cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen. |