Maximize App Engagement With Push Notifications (Industry Examples Included)
Having high app downloads is not much good if your customers don’t use your app. Thankfully, you can increase your app engagement and help your brand play a bigger part in your customers’ lives through the judicious use of app push notifications.
The State of App Engagement
There has been an explosion in demands for mobile apps in recent years, and global consumer spending reached US$120 billion on apps — a figure that is up 2.1x from 2016.
Consumers love apps, as do brands. It is a great way to meet your customers’ needs and because they are on mobile devices, your customers can engage with your brand wherever they are.
However, to give your customers a reason to stick with your app, you need to craft your app engagement strategy carefully, and push notifications can be a great way to remind them about your app and what you have to offer.
Why Use Personalized Push Notifications?
As a marketer, push notifications can be your greatest asset or your worst enemy. Using them correctly offers you a fantastic way to engage your users with personalized, timely promotions that increase their level of engagement with your brand. However, misuse them, and they can turn customers off your brand for life, increasing your churn rate and resulting in lost revenue.
Instead of just sending out generic notifications to all your customers, it is vital to make sure they are relevant to the recipient. The best way to do this? By leveraging artificial intelligence (AI) to gain actionable insights into your customers’ habits, profiles, needs and schedules.
AI helps you gather this information by analyzing your customers’ behaviors and interactions not only with your brand, but also on the wider web. If your customers only come to your shoe website to look at sandals, for example, and do the same on external websites, there is little point in sending them promotions on boots.
On the other hand, if they browse sneakers on external sites and not yours, it might be worth sending them a push notification highlighting your sneaker selection, in case they have overlooked it.
You can also create a unified customer view by knowing that web visits on a phone, tablet and laptop are all from the same customer, and not from three different users. This will help you with more effective targeting. Maybe a customer added an item to their shopping basket on their tablet, but didn’t complete the purchase. Why not send them an app push notification encouraging – and maybe incentivizing – them to proceed to checkout while they are using the phone in the morning?
In this way, you can make sure only sending relevant, timely push notifications that your customers are compelled to open.
Putting It Into Practice
Push notifications can create a high level of stickiness, increasing your conversion rate, without increasing customer churn. Here are some examples of the right kinds of notifications for different industries.
- Weather-specific. Is it sunny where some of your customers are? Why not send them a push notification promoting your sunglasses, sun hats and tanning lotion? Or if heavy rainfall is expected, you could promote your umbrellas instead.
- Price reduction. Instead of just promoting a sale, pick up on specific items a customer has clicked on, or even added to their basket and not completed the purchase, and tell them when the price drops.
- Re-engage inactive users. If your brand is struggling with customer retention, you can use an app push notification to re-engage inactive users. If they are inactive straight after installing the app, you can send them a promotional offer (say a coupon for 10 percent off their first purchase), and if they are inactive for a while after a few purchases, you could remind them of your new lines, sales offers, or even send a ‘we miss you’ coupon to entice them back.
- Upselling. Send your customer a push notification recommending which loans they qualify for based on their credit history and recent needs.
- Low balance. Some accounts do not come with an overdraft, meaning if customers go into the red they could face a financial penalty. A push notification will alert customers that their balance is low, so they can either curb their spending or transfer money from another account.
- Security alerts. Send alerts about potentially suspicious activities related to a customer’s account or that the account has been logged in from another device or location.
- Location-specific. Using your customer’s location will help you deliver more relevant push notifications – for example, ‘You’re just two miles away from the best steak restaurant in town’.
- Offer alerts. Having a sale on flights? Adding some new destinations? A push notification is a great way to let your customers know, especially if they have expressed an interest in them before.
- Reminders. Forgetting your passport, or to check-in online, or to work out the time difference before you travel in order to stave off jet lag can make a trip more stressful than it has to be. Reminding your customers of these – and other useful tips – will help their travels go smoothly.
App push notifications are a vital way to keep your customers engaged. Make sure you use them wisely, or you could do irreparable damage to your company’s reputation.
* Not sure how to create personalized push notifications to increase your app stickiness? Chat to us now and learn how you can use artificial intelligence to identify the most valuable users and develop personalized content to boost app engagement. For more in-depth insights into a powerful app engagement strategy, download the white paper ‘From Download to Favorite: How to Engage Users Across the App Life Cycle’.
WE ARE HERE TO HELP
YOU MIGHT ALSO LIKE
You may have heard the term ‘predictive analytics’ being often used when talking about digital marketing or data science. So, what does it mean, how will your business benefit from it, and how does it work exactly? Read on for everything you need to know. What Is Predictive Analytics? Put simply, it is a way of analyzing historical data in order to predict future events. Typically, companies will utilize historical data to build a mathematical model. Given data and the model, the computer can make a prediction of the future. These trends can refer to the immediate future, just seconds, minutes, hours or days ahead, or can look much further into the future. This model can then predict what will happen next, or suggest steps a business can take in order to best meet its goals. Predictive analytics is a subset of data analytics, and within data analytics, there is also descriptive analytics, which is to leverage historical data to better understand what has happened in a business, meaning paint the picture of the past. Predictive analytics uses a wide range of technologies like big data, data mining, statistical modeling and machine learning to crunch data in order to
Reaching consumers was way easier in the 70s and 80s — the age of mass marketing. Today, the consumer journey is far more fragmented as they divide their time between different screens, which complicates the path to a buying decision. The savvy consumer now spends a significant amount of time on two or more screens every day. Globally and in Asia, device ownership continues to grow; more than half of Asian multi-device users (51%) now have two devices per person, while more than a quarter (26%) now operate on more than four devices. This means that marketers have to do things differently, even though the aim is still about reaching consumers at the point where they can influence the buying decision — also known as the consumer touchpoint. In the past, that touchpoint could have been through a TV ad at home, or in the newspaper. While this was simpler for the marketer, it also offered limited marketing options. The growth in devices adds complexity but it does open up new opportunities for marketers to influence consumer purchase decisions through different touchpoints in the consumer journey. Why Cross-Screen Tracking is Hard In order to effectively reach today’s consumers, optimising
As customer expectations continue to intensify in an increasingly competitive environment, companies can stay ahead of the curve only by adopting the latest and best that digitalization has to offer. For those frenziedly pursuing a digital transformation agenda, artificial intelligence (AI) has the potential to positively impact the way they do business. A new commissioned study conducted by Forrester Consulting on behalf of Appier shows that AI has a critical role to play in accelerating digital transformation in Asia Pacific (APAC). Companies are well aware of the powerful insights that AI can generate. More importantly, they are testing how they can use AI to transform their business models and enhance experience across the entire customer life cycle. The June 2018 study surveyed 260 business and IT leaders across eight markets (Japan, South Korea, Singapore, Taiwan, China, India, Australia and Indonesia) who are directly responsible for technology purchasing decisions. Covering the key industries of telecom, insurance, banking, IT and retail, the study threw up some interesting insights on how companies perceive AI’s role within their businesses. Some of the key benefits that companies are expecting by using AI tools are: 1. Easily discover relevant prospects, and boost chances of conversion 2.