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As the marketing industry continues to digitize itself, machine-learning AI-driven systems are helping marketers address their key concerns around analytics, tracking, and attribution. However, these systems are only scratching the surface of AI as there exists plenty of unexplored opportunities.
One such opportunity we explored late last year was the launch of MoEngage Sherpa ‘Intelligent Time Optimization.’ For automated campaigns that auto-deliver messages based on user actions, Sherpa identifies the peak engagement times and automatically sets the time delay in sending these notifications, which otherwise would be based on guesswork.
Today, we would like to announce MoEngage Sherpa ‘Content Optimization’ – to help marketers deliver messages that convert. In a multivariate campaign, Sherpa learns the performance of each variant on the fly by registering user interactions, then automatically drives traffic towards top-performing content. Sherpa completely eliminates the need for the marketing team to analyze and choose manually. Let’s take a look at some examples where Sherpa has helped marketers optimize their campaigns:
Here’s an example of a multi-bank payments app that allows bank account holders to do banking and financial transactions. In this example, the payments app ran a Sherpa content optimization campaign with two variants: One with an image and the other without an image. As MoEngage Sherpa learned of a better performing variant among the two (Variation 2) it automatically diverted more traffic towards that (better performing) variant resultantly achieving higher CTR for the overall campaign. As seen above, the payments app achieved a 21.26% increase in engagement with MoEngage Sherpa – without needing any human intervention.
Here’s another example of one of Indonesia’s largest e-commerce store in Indonesia offering a wide range of products. In a bid to optimize their campaign performance, the e-commerce store ran Sherpa content optimization campaigns. Working with a promotional campaign offering free vouchers to shoppers, the store saw the following results for the campaign: As MoEngage Sherpa learned of a better-performing variant among the two (Variation 1) it automatically diverted more traffic towards that (better-performing) variant resultantly achieving higher CTR for the overall campaign. As seen above, the e-commerce store achieved a 12.26% increase in engagement with MoEngage Sherpa.
In this example, a leading digital, print, and e-commerce media company focused on millennials. The publication used web push notifications to drive users to interesting content such as puzzles, crosswords, interesting facts, and such. The publication used Sherpa content optimization campaigns to drive engagement for their web push notification campaigns and witnessed the following results: As MoEngage Sherpa learned of a better-performing variant among the two (Variation 2), it automatically diverted more traffic towards that (better-performing) variant, resulting in a higher CTR for the overall campaign. As seen above, the publication achieved an 18.65% increase in engagement with MoEngage Sherpa.
The launch of MoEngage Sherpa empowers marketers to drive business growth and optimize their approach to engaging customers. Click below to see how AI-driven marketing automation can help your business drive engagement with customers.
Raviteja (Ravi) Dodda is the Co-founder and CEO of MoEngage, an insights-led customer engagement platform built for customer-obsessed marketers and product owners. He is an alumnus of IIT-Kharagpur. Ravi has more than 10 years of experience in leading global teams and managing successful products. Prior to MoEngage, he co-founded and built DelightCircle, a local-offers mobile app. Ravi has been recognized in the BW Disrupt 40 under 40 and Forbes 30 under 30 lists.
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