Mobile apps are on the cutting edge of innovation.
Roughly 92% of young Americans (ages 18 – 29) now have smartphones in their hands, and companies like Uber, Snapchat, and Spotify owe their success to the power of mobile. They wouldn’t be here without that success.
So when mobile marketers attempt to grow an app, it’s tempting to lunge towards the newest and shiniest strategies.
But new isn’t always better. Way back in 1621, Francis Bacon formalized the scientific method with the publication of the Novum Organum Scientiarum — and it turns out that this method is the perfect way to improve user retention on mobile.
With advanced degrees in biology, Hila Qu, VP of Experiments & Retention at Acorns and former Product Manager of Growth at GrowthHackers.com, is well versed in this age-old strategy for running experiments and learning about the world. She employs the scientific method on a daily basis to find out what strategies can keep her company’s mobile users around.
Today, I’m sharing what Hila Qu and the scientific method can teach you about retaining more users on mobile.
No matter your familiarity or experience with science, you likely learned about the scientific method in a high school classroom. The scientific method is an ongoing process for turning observations into provable facts.
It consists of making observations, formulating hypotheses, developing tests to determine whether hypotheses are accurate, and reporting on your results.
It’s easy to see how the scientific method could be applied to mobile marketing. In order to figure out which strategies will retain your mobile users, you have to make observations, formulate hypotheses, and test them out.
Qu has a bachelor and masters degrees in biology and conducted laboratory experiments where she mixed chemicals. “I still do experiments, except they are inside products or on different marketing channels,” she says. “Tweaking apps to experiment and make changes — this is very similar to scientific experiments.”
Qu’s team at Acorns is primarily interested in user retention on mobile — and Qu is clear about her preference for working on retention, rather than acquisition.
“To a certain degree, new users can be bought by spending money on advertising, but you can’t use money to persuade users to stay,” she says. “User retention is the ultimate measure of whether everything — your mobile product, messaging, and overall experience — is working.”Retention is the ultimate measure of whether your product, messaging & overall experience is working —Hila Qu Click To Tweet
In order to identify friction points and help mobile users get to “aha” moments more quickly, Qu and her team conduct in-product experiments, as well as experiments across retention channels like email and push notifications.
“We try to understand the entire user flow after acquisition, so that we can figure out the roadblocks users are facing,” says Qu. “We want to learn which barriers we can remove so that users can achieve their goals as quickly as possible.”
Qu and her team work to understand how users learn to navigate the app, when they get to “aha” moments that hook them on the app experience, and how to maintain regular engagement with features communications in the app, and on other channels, to keep the experience top of mind.
What Qu does at Acorns is very similar to what she used to do in a biology lab. Rather than testing her hypotheses on rats, Qu is running experiments to understand what gets users to stay.
Here are the steps Qu takes to apply the scientific method:
Qu starts with a goal, such as improving user retention for those who were acquired via a particular channel, or reducing barriers during the first three days.
Once Qu has a goal, she can generate a set of hypotheses. These hypotheses are ideas for what the problems might be, and how making a change could improve retention.
Perhaps the most interesting aspect of the scientific method is designing a test and conducting it. For example, if your hypothesis is that users are dropping off because they don’t understand a particular feature of an app, you might design a test where you offer a walkthrough of the feature to see if it makes a difference. Even for the same problem, there could be multiple solutions, so a lot of creativity and testing goes there as well.
Qu and her team analyze their results to determine whether a hypothesis is right or wrong. If it’s right, then the team is satisfied: they proved their goal and solved their problem. They make the change, apply whatever they learned to the next experiment, and look for any opportunity to further improve the results.
If the hypothesis is proven wrong, the team tries to understand if the result is due to a faulty experiment, or because the hypothesis itself was wrong. If the hypothesis is wrong, then that’s a conclusion that can be applied to later experiments as well.
When it comes to running scientific experiments on your app, you have to define what healthy user retention looks like in your particular case.
“How you define retention is dependent on the behavior of your particular users,” says Qu. “A lot of companies will measure performance based on daily active users, but this might not be meaningful to you.”
For example, imagine you’ve created a note-taking app for college students. College students don’t have classes every day, so daily active users might not be a helpful metric.
For you, weekly active users might be a better metric. That means students might log in when they’re in class, when they’re completing an assignment, and when they’re studying for an exam. You will want to make sure you define “active” in a way that indicates they are really using the app, rather than just logging in.
Once you’ve settled on weekly active users, you can begin to draw hypotheses about what’s likely to positively influence the metric, then conduct an experiment to see if you’re right.
When it comes to improving user retention, there are a thousand things you can do at any given time. How can you narrow down and choose to experiment on the areas that will have the biggest impact on your performance indicators?
You can create a mechanism to engage with current users, ideally turning your product usage into a habit. The other way is to encourage churned users to come back. You can also focus on educating new users so that they stick around.
Qu recommends creating a list of the different reasons why some stick around and why others leave. From that list, you can consider what the key difference is between these groups, form a lot of ideas, make an educated guess on what will move the needle, and then create an experiment.
“You can try different channels, different copy, different design, and you can appeal to different user psychology,” explains Qu. “Pick an area that you think has the biggest potential, and start from there. Take what you learn into the next experiment, then rinse and repeat.”
Hila Qu has been running experiments in mobile growth for years. Here are her top mistakes to avoid:
Hila Qu is the VP of Experiments & Retentions at Acorns, an app that helps users save spare change, and was previously a Product Manager at GrowthHackers.com. She works with designers, engineers, marketers, and other stakeholders to launch experiments inside and outside the Acorn product to drive user activation, engagement, retention, and referral.