Are there any metrics available for what happens when you send a push notification ad?

Yes! There are many metrics available. As others have pointed out, sends, click-rate, and single-event conversion rate are the most common. At Localytics we offer some additional performance metrics that can help you understand the direct impact of your campaigns on any goal you may have: Engagement: Average # of sessions per user after viewing the notification Revenue: Average new revenue per user after viewing the notification Conversion: Average # of conversions per user after viewing the notification, where a conversion can be any event in your app I also want to address your second question: Is it worth it for a company to send a push notification ad? Data from across Localytics customer apps shows an average 24% lift in engagement (average sessions per user) as a result of push notification campaigns. That said, every app is different, and different push strategies will have different outcomes. Push notifications can be extremely worthwhile when you find the right strategy for your app and your users. The key to finding the right strategy is testing, measuring performance, and optimizing your push campaigns based on whatever outcome you are trying to achieve - whether that's more sessions, increased revenue, or conversions. As a best practice, always measure push campaign performance against a control group. By using a control group, you can quantify exactly how much a notification improves KPIs like engagement, conversion, and retention by comparing the behavior of users who receive your notifications to users who do not. Measuring against a control group makes it easy to see what's working and what's not, so you can optimize for the greatest business value. You can read more about tools for measuring push performance on our http://info.localytics.com/product-updates/introducing-true-impact-know-the-business-impact-of-every-marketing-action.

Yes, there are metrics available for push notifications. Here is an example of what those metrics look like for a push notification campaign sent with http://www.appboy.com/: In addition, you can easily re-target users who did OR did not open your original push notification campaign. Just use http://www.appboy.com/'s out-of-the-box filter in the segmenter...it takes less than 30 seconds to re-target. Lastly, it is best practice to test your push notifications before sending to your entire app audience. http://www.appboy.com/ lets you simultaneously test six (6) different variants of push notifications to small test groups of users, BEFORE sending a mass push notification to your entire app audience. The message with the highest open rate can then be sent to your entire app audience. To discuss more advanced push notification use cases (metrics, re-targeting, multivariate testing, etc.), feel free to email me directly at [email protected], or visit http://www.appboy.com/.

Great question and one that we at spent real time investigating, and built new and unique technology to address.   First off, it is extremely worth sending push notifications that advertise key offers and features – it drives major lifts in engagement and conversion.  Happy to share case studies and data.   BUT, a majority of companies are sending push notifications and not adequately tracking metrics to inform critical decisions.  (i.e. was this ad campaign net positive to my business?) We saw this as a major issue and decided to solve this problem.   For every message you send, you should track: -      Is the message delivered -      Is the message clicked on -      Does this message cause the user to re-engage with the app -      What does the person do (or not do) because of that push message -      Does this push message increase the users LTV (lifetime value) – is that user more valuable to you because of that push message -      Does this push message cause the user to opt-out of Push Messaging -      Does this push message cause the user to uninstall the app   What is so key here is to track each metric on a per message level, then aggregate it up to a per ad campaign level, then a per ad campaign group level, and if you want a per day level.   The per-day stuff alone just doesn’t cut it.  You basically have no idea between causation and correlation, and will perhaps make the wrong decisions based on overly summarized data.   To summarize, tracking metrics is critical and metrics are available, but make sure you track the right metrics.  We at (http://www.usekahuna.com) built unique technology to get the granularity you need to make informed decisions.  Happy Pushing!

Push Notifications are a great way to send offers/promos to your App users. Knowing how your notifications have fared is very critical so that you can optimize your campaigns. Few of the metrics that should matter to you are: Notifications Sent Notifications Delivered Notifications Swiped Away Notifications Clicked Actions performed inside the App on clicking a notification. These actions are what you will really be interested in. We at http://qgraph.io allow you to track as many events as you like, so that you get complete clarity on how your notifications have fared.

Most definitely metrics are available on push notification campaign performance. Appoxee (http://appoxee.com), for example, goes deep on push metrics - eg push sent, push opened, push influenced - by segment, OS device, app usage... Most 3rd party push marketing platforms offer some form of push analytics, though the richness and deep of the analytics can vary significantly.

There sure are a variety of metrics. For instance, since Vizury http://www1.vizury.com/engageapp?utm_campaign=App+Marketing+BP+Guide&utm_medium=social&utm_source=quora is very ROI driven, we track Push sent, Delivered, CTR and CVR. Because of the highly personalized Push notifications with dynamic images deep linked to the app, our CTRs are as high as 30%.As for Uninstalls, we don’t just give information on who uninstalled, you also get to know why they happen. Uninstall prediction is one of our major strengths. Some information include: Device Geo city Geo Country Source of Install Number of products viewed Number of App purchases Number of days App used Number of days between Install and Un-install Last App event before un-install LTV of the user While tracking uninstall is important, you can also predict who is going to, and stop them from doing so (with the help of push notifications and in-app display retargeting).If a user does not return to your App within the first 7 days of an install, chances are she never will. You can consider this as the first cue to uninstall.Here are things you can do: Track users who have uninstalled your App. Gather behavioral attributes and determine specific trends that many of the uninstalled users have shown. It could be drop in activity, number of inactive days before uninstall, device-based and so on. This analysis will help you find other existing users with similar behavioral patterns. Run retention campaigns to re-engage such users and prevent uninstalls. Make custom offers, remind them about pending purchases or tell them how much they are missed with 1-1 personalized Push notifications. If they are unreachable on Push, use other channels like email, display or social to connect with them.

some companies gives you analytics and insights to understand more about your user behaviour. like how many opens per day and level of engagement. http://www.pushbots.com allows you to do that for free!

With appoxee for example you can see how many users are active per day, and how many are opted in for push notifications. It is possible to get more detailed reports as to how many were opened and read, but it depends on the provider.

This slides shares our data at http://PushEngage.com  on browser push notifications and how it compares with Email