As far as I can tell, the only 100% accurate tracking is occurring with Facebook Mobile App Install ads since they have an integrated solution with the App store. But there are many 3rd parties that claim to do it, but my understanding is that it's a "correlative" confirmation, not a true confirmation. Which is the best?
Sure, it's correlative for technical reasons, iTunes / AppStore does not provide (yet, might change) a mechanism for that, so 3rd parties have to build their own.
I recently discussed with people from Adjust and I was really impressed.
HasOffers / MobileAppTracking seems to be a good choice as well.
The problem is that nowadays everybody wants you to install their api. While this is easy in the beginning, in the end it becomes a pain in the #$%#.
You can install http://www.flurry.com/ analytics on your app and be able to know the conversion to installs even for every creative you have on every social network or even links you give offline.
Really helped me track every possible detail on app promotion and the best of all... It's free ;)
It's a difficult problem to solve for all of your advertising outside of Facebook. Yes the other vendors use correlation to determine with a high probability that a particular user that installed your app is the one that click through a few seconds earlier. Most of the good ones are fairly accurate: above 90%. The one I found that handles the most advertisers is http://mobileapptracking.com/ by Tune. Hope this helps.
I wanted to clarify something, as a co-founder of one of these tracking companies (Tapstream, we do attribution tracking for free): when you're tracking installs from most ad networks, be it Facebook or someone else, the accuracy will be near perfect with most tracking providers. Ad networks in general support the use of IDFA or Google Advertising ID for attribution, which is passed to us on click. We then collect the same ID on install and send it back to the ad network so they know an install happened from that click. There's no guessing or fingerprinting involved.
If you're seeing divergent numbers you need to examine the whole chain for breakage - your ad network, the attribution solution and lastly, but most importantly, your tracking implementation.
I have been working in Mobile Acquistion for large mobile gaming companies for a while and can definitely understand the confusion, and sometimes frustration when trying to figure out the Mobile App ecosystem, especially as it relates to tracking and attribution.
To say there is a best one is subjective. MMP's or "mobile mediation partners" essentially act as a middle man to ensure that when you work with multiple advertisers that the appropriate advertiser gets credit for an install driven.
A lot of partners do this well. Adjust, Tune, Kochava, Fiksu, etc. However, I am bias because I work with MobileApptracking "Tune"as they call themselves now.
Mobile attribution is not an exact science and to say that FB Mobile App Install Ads are 100% accurate is incorrect. Typically you have to accept a level of a variance with nearly every sort of tracking solution. This ranges typically from 5-10%. Anyone who says tracking is 100% accurate doesn't have to look through the logs I have had to look through lol.
Facebook doesn't have a specific integration with the iOS/GP app store..you are actually integrating your app via the Facebook SDK, or via the Facebook API so it tracks in-app events including the install event. They are getting the install data from your app not the app store. It is fed via the integration you have setup with your app.
How Mobile Tracking Works:
If you understand the concept of ad tracking itself, you will understand that this is "confirmation." How mobile tracking works is like this:
User see's ad and clicks => redirect to MMP (on the redirect usually this is where device information is stored) => redirect to GP/iOS Store where the user may/may not download.
Please also keep in mind that you have integrated the MMP's SDK at this point!!
At this point a bunch of logs of clicks are stored for advertisers. Once a user has installed the tracking partner then is able to see where the install came from based on the click logs that were stored. Attribution then happens based on the default methodology. This methodology as is called last click attribution. So if Advertiser A,B,C all drove clicks but Advertiser C's click is the last. They would get credit.
The gentleman above me is also correct in that there are standard ID identifiers (IDFA, and GAID) that are collected in these logs to ensure that there isn't any breaking in attribution. There is actually an order of attribution in identifiers, but I don't want to confuse you here and Ill leave that for a diff. conversation.
If you are working with multiple ad partners there tends to be some overlap in inventory. So if you are running with 4 ad partners and all 4 have clicks from the same user, and one installs...all 4 will claim that install. MMP's help facilitate the attribution to the appropriate install claimer. This is called "de-duplication" Remember, again, you have their SDK integrated so they do have confirmation of an install event so there isn't "correlative" information it is confirmation of an install of your application.
IMHO opinion given the fact you may want to advertise across more than just Facebook, the best solution would be to integrate both the Facebook SDK, and a MMP's SDK. This will give you the flexibility to not only track Facebook accurately but to attribute across multiple certified MMP ad partners.
Given the fact that Facebook is very pricey at this point in terms of CPMs it makes sense to look for more affordable networks, exchanges, etc to acquire users.
It depends on what you are looking for. For example:
1. The tech-driven insurer Lemonade used Mixpanel to discover that many people visited its landing pages from a mobile device. Eager to drive those users to its app, the team redirected mobile visitors to download the app rather than go through the web flow, but this led to a steep decline in new user growth. With analytics, they could see users wanted to complete their actions on the web first. By improving their web flow for mobile and prompting users to download the app later in the process, the team increased installs.
2. The peer-to-peer shopping app Grabr did not initially know where its top users lived, or how they would use the app. “When you’re building something new, there are lots of unknowns,” said Christina Leigh Morgan, Marketing Director at Grabr. “We needed a way to eliminate the guesswork.” By tracking how users referred their friends, the team was able to improve its signup flow to earn twice as many referral app installs.
3. The messaging app Viber serves over one billion users around the globe and uses Mixpanel to track visitors beyond downloads to make sure they are successful. By A/B testing the buttons on users’ keyboards, the team was able to increase messaging by 15 percent, keeping new users for longer, and giving them a chance to build a habit around messaging with Viber.
Besides if you do have any questions give me a call: https://clarity.fm/joy-brotonath