Push notification engagement continues its meteoric rise
Engagement is a key metric that marketers use to evaluate pretty much everything they do. When it comes to push notifications, engagement is measured as the average number of sessions push recipients completed within the first week of receiving the message.
We are happy to report that engagement across all apps has seen a 30% lift since January 2017, is currently peaking at 3.75 sessions, and shows no signs of slowing down.
It’s clear that marketers are learning more effective ways to engage their mobile users with push notifications in addition to segmenting audiences. The use of more advanced methods such as geo-push and dynamic content are definitely a big step in the right direction.
85% of push messages sent in 2017 were personalized
Following the upward trend in app engagement is a linear increase in the percent of personalized (aka segmented) messages sent vs. broadcast (aka blast) messages sent.
In 2015, 65% percent of all push notifications were segmented. This reached 75% in 2016, and hit a high of 85% in 2017. Meanwhile, the percentage of broadcast push notifications being sent has come crashing down to a diminutive 15%. Gone are the days when marketers sent out ineffective blast campaigns to their entire user base.
What’s so great about personalized messaging?
There are a few different campaign strategies that mobile marketers use. The most basic is the broadcast campaign, but the addition of user attributes, dynamic content, and location-based targeting offers a more layered approach.
User attributes are profile factors such as name, age, email, favorite teams, or language and behavioral factors such as “added item to cart,” “viewed video,” or “registered 7 days ago.”
Dynamic messaging involves crafting a push notification that takes into account a user’s profile and behavioral data to speak directly to that user. Take a soccer app for instance: instead of setting up hundreds of campaigns, marketers can set up just one campaign and dynamically insert each user’s favorite team name based on the profile attribute for “favorite team” associated with that user. They only have to type one message: “Soccer season is here! Check out the latest news and results for [favorite_team].”
Combining campaign and message type gives us:
- Broadcast campaigns that use dynamic messaging – campaigns that, while sent to an entire user base, are catered to the users’ interests and demographic profile. These are often curated using simple attributes such as first name, last name, birthday, city, etc.
- Segmented campaigns that use dynamic messaging – The best of both worlds. These are campaigns that take into account complex attributes to deliver a great experience for users.
Let’s take a look at our three core performance metrics (engagement, open rate, and conversion rate) to evaluate just how effective these messages are.
The simplest way to gauge satisfaction with your messaging is to calculate how many times users launch the app following receipt of a push. High engagement proves that users found value in your message and kept coming back for more.
Engagement is noticeably higher for segmented campaigns that send dynamic messages. Even broadcast campaigns perform above the average if the content is dynamic. All types beat the average we see for all push engagement (meaning average engagement across all of the apps that Localytics works with), except for broadcast campaigns.
Another simple way to determine a message’s weight is its open rate, or the number of times recipients clicked on a message within seven days following receipt, divided by the number of messages sent. A high open rate indicates that the message itself was interesting enough for users to explore further.
We see similar results to engagement, with segmented campaigns that use dynamic messaging at the top of the pile and pure broadcast messages at the bottom.
Although a great deal of actions completed can be considered “conversions,” ranging from “track favorited” to “video viewed” to “page viewed,” conversion as a metric still offers a means to understand how well marketers are reaching their goals. High conversion means that a message convinced someone to perform an action. These conversion rates are also calculated on a weekly basis and answer the question: seven days following receipt of a message, how many times did recipients convert?
Once again, dynamic content sent to a targeted audience brings the best results, while broadcast campaigns that use dynamic content perform sub-optimally. This is surprising considering this combination performed well and even beat out pure broadcast campaigns on open and conversion rates.
- When marketers send out broadcast campaigns without dynamic content, their defined conversion events are usually more rudimentary, i.e., “Push Sent” or “App Opened.” Therefore, the marketer’s goal isn’t quite so lofty.
- With broadcast campaigns and dynamic content, marketers frequently define more complex conversion events because they are more thorough in general. Although the message is catered to the end-user, the goal is loftier, so conversion is more of a challenge.
Marketers are still working to understand mobile conversion rates, so it’s essential that we view them through a critical lens. Boosting app conversion is a balance between defining your app’s conversion goals and building engagement strategies to reach those goals.
Location-based messages convert three times more often
If apps really want to create a unique experience, then tracking users’ physical location (with permission and secure data transfer of course) is a strategy that can pay off in spades. According to a recent Localytics survey, location tracking was voted as the most valuable type of trigger for push notifications after stated preferences. Since consumer perception is generally positive for this method, examining our own data can provide support for its use.
Let’s return to our essential metrics to understand how enticing location-based messaging truly is. We found that location-based messages were opened nearly twice as much and converted nearly three times as frequently as regular pushes on a weekly basis.
Although conversion rates remain difficult to define, they are actually more clear-cut when used in the context of location-based push. Circling back to the concept of marketers’ conversion goals, consider the fact that a geo-push is a real-time reaction to the end-user’s observed location. Any communication that reaches a user with little delay is going to incite a sense of urgency. Whether that means opening the notification or viewing a product, it will likely happen at a rate similar to how it was received, offering the user a reward for his or her quick reaction. Timing is everything.
We haven’t cracked the code on push notifications just yet
Achieving the ideal state of push can be a challenge. Marketers should feel encouraged by the work they have done and the rewards they currently reap, but the battle is not yet won. The rate at which users abandon apps is still too high. Changing mobile users’ brand perception requires constant care, and using data to inform marketing decisions can go a long way in creating a pleasant user experience. It’s a lot more engaging to be communicated with like a friend in a language only you share than to feel like a cog in a machine. Push is always striking a balance between satisfying users and nudging them to complete an action.
Localytics is the leading mobile engagement platform across more than 790 million devices and 12,000 mobile and web apps. Localytics processes 115 billion data points monthly. For this study, Localytics looked at apps that have integrated push messaging across both iOS and Android. The opt-in rate was calculated using apps that have incorporated push messaging. Broadcast campaigns are defined as messages that are sent to all of an app’s users, while segmented campaigns are sent to users based on behavior and/or profiles. The timeframe for data in this study was January 1st 2017 to April 30th, 2018 except the 2018 opt-in rate, which was calculated using data from January through April 2018 and the 2017 percent of pushes by campaign type was calculated using data from January through December 2017. All results are based on worldwide app usage.