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If your team sends targeted CRM campaigns and does not leverage Deep Learning to do so, you might feel that every audience is arbitrary... In this illustrated guide, discover the path to CRM greatness. Buckle up!
A Customer-Centric CRM Strategy at scale using Machine Learning
Gabriel Trujillo – VP Customer Marketing
“Sally Beauty used Tinyclues’ to improve and scale targeting, effectively manage fatigue, and find audiences for an enormous volume of products helping us to achieve our goal of keeping the customer at the center of every decision.”
+200% Conversion Rate
Sally Beauty is a retailer and distributor of beauty supplies with revenues of over $3.9B annually. Sally Beauty distributes or sells over 10,000 products for hair, skin and nails across over 4,000 stores internationally.
Challenges & Objectives
Advance beyond rule-based targeting
Reduce time spent and increase effectiveness of manual pressure management
Build audiences for over 10,000 products
Increase the number of revenue opportunities through CRM campaigns
With Tinyclues, Sally Beauty
Used AI to build precision audiences based on likelihood to buy
Managed pressure by ensuring only the right customers received any given message and set rules for maximum number of messages received
Optimized content output by finding the right audiences for each product and targeting those audiences
Discovered new topics to promote creating new revenue opportunities
Listen to Sally Beauty’s VP Customer Marketing talking about the “phenomenal results” they got with Tinyclues.
Leader in home furnishings across Europe, Conforama uses Tinyclues to drive an essential phase of their digital transformation, with personalized and relevant marketing campaigns. In 4 just weeks, they were able to launch their first campaigns—just in time for a major sporting event that drove conversions, both online and in-store.