As a result of our latest whitepaper, we have isolated a key factor that affects the success of push notifications—but is overlooked by digital publishers in their reporting.
There is a consistent pattern in engagement, across all push notifications. The engagement rate of subscribers naturally declines over time.
Messages can be optimized for a higher click-through rate but after readers have been subscribed for a certain amount of time, the likelihood of them clicking the message reduces.
On average, the CTR decreases by a factor 0.4 from week one to week five. That is if the CTR is 1% at week one, in week five it is at 0.4%.
We conducted our own study recently, looking at the CTR of push notifications across 10 publishers. The results showed a consistent picture, time naturally degrades the engagement of your subscribers, almost regardless of the strategy used.
For publishers developing a push notification strategy, this distorts the picture that they are trying to measure. How can you see how effective a strategy is if the results are being pulled down by the natural passivity of your users?
Single-measure metrics, such as click-through rate will be warped by this decline in engagement.
For examples, a specific message may appear to have a downturn in results. So, you look to the variables applied to this message: the time, the creative elements, the topic of the article and make changes that should give you different results. However, unless the natural, global level of engagement decline was accounted for, the results of changing these factors will remain unclear whilst the strategy behind the decisions is actually correct.
If you look at a metric such as the click-through rate, across your audience and over time, you will a strange pattern of peaks and dips, interrupting a general downward curve.
Peaks form where there are messages being sent to new subscribers. These subscribers are naturally more engaged readers, and open more notifications, spiking the numbers. This will be followed by dips in engagement as these subscribers naturally become less invested in each message.
So, unless you are adding a higher rate of new subscribers than your rate of natural decline, this will present an overall trend of lower engagement.
Readers lose the ‘novelty of the notification’. New colors, new branding, and a new set of notifications will initially stimulate the dopamine response of users.
However, once these notifications become familiar, the effect is reduced. The first message has the highest potential for reward, but as user receive messages that are less relevant to them, and less rewarding— known as negative prediction error—the dopamine signal decreases.
In addition, as users click, they begin to understand the expected personal value of clicking the notification better. They can instantly judge the expected value of a headline, in relation to their interests. They learn to scan the headline for the key information, known as passive reading.
‘Swipe to exit’ then becomes a default learned behavior. With the rise of on screen and in-app notifications for things such as cookies, GDPR notifications, and subscription requests, mobile users often clear notifications before reading.
Have better navigational knowledge of the site so can find the stories that interest them without notification support. Swiping away a notification loses this reader nothing. They scanned the headline so they know the topic, and now they are familiar with the site, can navigate to find it easily.
Then, the hyper-engaged readers will have already seen the content via another source. There are multiple channels, that some of the core audience for notifications is likely to find the content elsewhere.
All of these factors lead users to learn that— due to the unpredictable and varying nature of push notifications—they can’t rely on them for content or value every time.
This can mean that they have found more effective ways for them to find the content they want from your site, rather than being dissatisfied by imprecise notifications.
Optimizing the retention of your current subscribers will always be a more cost-effective solution than adding an ever-increasing number of subscribers. However, this requires a clearer way to measure the efficacy of a push notification strategy.
The first step to a clearer measurement system is to establish this rate of degradation as an average. This has to then be combined with the active unsubscribe rate and factored against the click-through rate of messages and the number of clicks, per user, per day.
In our recent whitepaper, Marfeel defined this new metric as SLTV, subscriber lifetime value. This accounts for this natural decline and provides an all-encompassing view of added readership, and value generated by push notifications.
We are able to use this value to look at different push notification strategies and get a clear picture of the value added, or removed, by the changes we made.
We isolated key factors, such as message frequency, time of delivery, and message creatives. We also factored in more complex optimization strategies, such as AI-driven recommended content, based on reader behavior.
These were all tested against control groups, giving us a framework that demonstrates objective improvements in the push notification strategies we employ. By using subscriber lifetime value (SLTV), we are able to see the net increase in readership being generated by the strategies put in place.
We published all the results of these tests in our latest whitepaper. Click here to download it and see our framework for a higher readership from your push notification strategy.