Drive Repeat Purchases With AI-Powered SMS Recommendations
Win back dormant customers by sending SMS messages featuring your most popular products. This high-impact strategy leverages social proof to reengage customers who haven’t purchased in the last month.
For example, a fashion retailer sends an SMS showcasing personalized trending items with direct purchase links. Transform your SMS channel into a revenue driver with personalized product suggestions that customers can’t ignore.
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Metrics:Gaining back the attention of customers who last purchased from you a while ago is a challenge every business faces. SMS marketing yields an impressive 19% click-through rate compared to 4% for email and 1% for Facebook.
With Bloomreach Engagement, you can effortlessly connect to your product catalog and use our recommendation engine to automatically select the most popular items. The platform makes it simple to create compelling SMS campaigns that leverage popular products, helping you reengage dormant customers and drive immediate purchases.
Increase the number of purchases with SMS recommendations of your most popular products. Customers who haven’t purchased in the last month receive targeted SMS messages featuring trending items with direct purchase links.
You can enhance engagement by sending MMS messages that include compelling product images, significantly increasing the likelihood of new purchases. This campaign integrates seamlessly with Bloomreach’s recommendation engine and requires a connection to your product catalog for optimal performance.
“SMS marketing yields an impressive click-through rate of 19% compared to 4% by Email marketing and 1% by Facebook. Engage with your customers via SMS and use the powerful social proof trick to increase your sales by showing the most popular products.”
Guide shoppers through targeted questions to identify products that align with their specific preferences. Interactive RCS or WhatsApp quizzes collect style, budget, and occasion preferences through quick-reply options, delivering curated product recommendations tailored to their selections.
This streamlines decision-making while gathering valuable customer data for future personalization efforts and stronger customer relationships.
“Deliver personalized product recommendations at scale while capturing valuable customer insights through automated RCS interactions.”
Collect customer preferences through WhatsApp using quick-reply buttons and send personalized product recommendations based on their responses. Engage customers in real time, gather relevant data, and automate the entire experience.
This approach delivers personalized product recommendations at scale while capturing valuable customer insights through automated WhatsApp interactions.
“Deliver personalized product recommendations at scale while capturing valuable customer insights through automated WhatsApp interactions.”
Set up customer segmentation to identify customers who haven’t made a purchase in the last 30 days, creating a targeted audience of potentially dormant buyers.
Connect your product catalog to Bloomreach’s recommendation engine, enabling real-time access to product data and popularity metrics.
Configure the SMS template with dynamic product recommendations that automatically pull the most popular items from your catalog.
Enhance engagement by including MMS capabilities to display compelling product images alongside recommendations.
Schedule automated SMS delivery to reach customers at optimal engagement times when they’re most likely to respond.
Customers receive personalized SMS messages featuring trending products with social proof messaging about popularity.
Track performance metrics, including click-through rates, conversion rates, and revenue generated, to optimize future campaigns.
boohooMAN’s success story with Bloomreach Engagement is a perfect example of how AI-powered SMS product recommendations can significantly drive repeat purchases and boost ROI.
By leveraging personalized, segmented SMS campaigns powered by zero- and first-party data, boohooMAN moved away from non-targeted, one-off messages and into tailored promotions that met customers at the right stage of their journey.
With Bloomreach’s predictive capabilities and single customer view, the brand was able to personalize offers and timing, resulting in a 5x overall ROI — and even a remarkable 25x ROI for specific flows like birthday campaigns.
This case study clearly demonstrates how using AI and customer data to power SMS product recommendations can effectively increase customer engagement, retention, and conversion.
Particularly effective for companies with diverse product catalogs where social proof drives purchase decisions and mobile-first customer bases.
Are you concerned about integrations or do you have a specific metric you want to optimize? Let’s find a solution!
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