In the search for mobile analytics and engagement tools, there are a ton of options to choose from. Throw a keyword into any search engine and you’ll inevitably hit a SaaS platform that can do at least some of what you need.
To prove that point, we recently blogged about the many different tools you can use to assemble a marketing technology stack that is geared towards user retention. Our list included competitors precisely because we’re confident our mobile marketing platform stands out from the rest.
But exactly what elements set our platform apart from the competition? And why should you even look into CleverTap?
Our Value Prop: Helping Build Magnetic App Experiences
I’ll save you the corporate jargon and get straight to our value proposition.
In a nutshell, CleverTap helps brands build highly magnetic app experiences — the goal being: to keep users coming back because they’re delighted by their customer experience.
We help you build highly magnetic app experiences
We help you build highly magnetic app experiences
Our core competency is segmentation, which allows brands to group their users into tiny cohorts sharing similar characteristics such as in-app behavior. Our AI-powered segmentation engine even predicts a user’s likelihood to convert, giving you the chance to maximize your marketing spend on the customers with the most potential to increase customer lifetime value.
Segmentation, paired with analytics on user behavior across web and mobile, gives you the chance to engage customers with more thoughtful, more personalized experiences. Because your forged connections with users are what will make them stay for the long haul.
Now, granted, there are a multitude of other companies that can do one or two aspects of the whole. But whatever tools you already use in your martech stack, our platform can draw in all that data and make your analytics actionable.
Below, in more detail, we explain how we stand apart from the competition.
The Competitive Differentiators
Here’s how we distinguish our mobile marketing platform from other similar services, and specific features or functionalities our customers find most useful.
1. Predictive, Automated Segmentation Based on RFM
Competitors: There’s lots of talk around segmentation, but most tools only have basic, rule-based segmentation where you group users based on very specific information such as location, personal information, order status, purchases, or average order value. While it’s useful for many situations, there’s so much more that segmentation can do.
CleverTap: Our automated segmentation tool can predict the likelihood of any user converting. It does this via RFM analysis — the ranking of users by recency, frequency, and monetary value of purchases made. It allows the system to segment your customers into those who are most likely (or least likely) to churn, or those who are potential loyalists, so you can focus marketing efforts on the more profitable segments.
Use Case: If you take a look at your Colombia Phone Numbers List users and see that new customers are not consistently turning into “champions,” you can go directly into your engagement suite and build a messaging campaign aimed at new users, promoting the type of products that similar users typically enjoy.
What Our Customers Say:
“To ensure that these experiences are in line with the end users’ expectations at all times, enabling effective user engagement has been one of our key drivers.”
~ Marzdi Kalianiwala, Head of Marketing & Business Intelligence, BookMyShow
CleverTap automated segmentation tool
CleverTap’s automated segmentation tool groups your users according to RFM
2. Analytics + Engagement Without the Headache
Competitors: While lots of companies focus solely on analytics, they lack a comprehensive suite of engagement tools. And then there are companies that just do engagement but may only have basic analytics. Or they may need an analytics add-on to truly examine user behavior within your app.
CleverTap: While other companies have one or the other, we excel at both:
Audience analytics for tracking behavior and trends, and
Omnichannel engagement tools that allow you to immediately translate insight into action.
Use Case: Say that your app users begin to show a trend where the largest purchases are made before midnight on most weekdays. Use that insight to build a new email campaign targeting on-the-fence users and send it at 10 pm on a weekday. Then use the analytics suite to track the campaign’s effectiveness in real time and pivot if the recipients do not convert from the email.
