Meet ALTHERR
ALTHERR is a German luxury watch retailer specializing in premium timepieces from brands including Omega, Cartier, Breitling, Longines, and Grand Seiko. With nearly 50% of revenue driven by repeat customers, the company saw a major opportunity to grow revenue by increasing engagement with customers most likely to purchase again.
The Challenge
While the company had extensive customer and transaction data available, turning that data into actionable sales signals remained a challenge.
Sales efforts were largely reactive, relying on customers to initiate engagement rather than proactively identifying those most likely to make another purchase. Without a reliable way to identify customers with a high propensity to repurchase, the company lacked the insights needed to execute an effective outbound approach.
The Solution
ALTHERR partnered with Pecan AI to explore introducing predictive intelligence into its sales workflow, aiming to identify customers most likely to make another purchase within the next 120 days.
Using historical purchase behavior, transaction patterns, and customer engagement data, ALTHERR built a predictive model with Pecan AI that identified likely repeat buyers and assigned purchase propensity scores across the existing customer base.
In under a month, ALTHERR built an initial predictive model using Pecan AI. ALTHERR began testing how its predictions could support the sales process, allowing reps to evaluate purchase likelihood scores when prioritizing outbound outreach.
“You don’t need a dedicated data science team to get real value out of it. Building and training models is genuinely straightforward. We had our first model live and being used by our sales reps in under a month.”
How ALTHERR uncovered opportunity with Pecan AI
Smarter prioritization & timing
Within eight weeks, sales reps began testing predictive scores to identify high-intent repeat buyers and reach them before they initiated contact. This approach enabled ALTHERR to explore proactive outreach and connect with high-intent repeat customers before opportunities cool.
Revenue expansion
Analysis demonstrates alignment between model predictions and deal value. Predictive insights support a targeted approach to expand account value, with outbound deals in the model-selected cohort averaging a 28% higher deal size than inbound leads.
The Impact
Pipeline Opportunities Identified
Within eight weeks, customers identified by the predictive model accounted for €2.4M in pipeline
Closed-won revenue growth
Those same customers accounted for €246K in closed-won value during the same period
Larger deal sizes
Outbound deals associated with the model-selected cohort had a 28% higher average value than inbound leads during the observed period
“Looking back at the first eight weeks, we’ve already managed to close nearly 80 deals from the customers that were predicted, yielding around €250,000 in revenue. That gives us great confidence.”
Key Takeaway
ALTHERR is beginning to move from reactive sales outreach toward a more proactive, data-driven approach by using predictive AI to identify customers most likely to purchase again. The initial implementation demonstrates how predictive insights can support smarter sales prioritization and uncover high-potential opportunities.
*Incrementality and a mature operating workflow have not yet been established
