Turn one-time buyers into loyal customers

Stop losing your best customers. Use predictive intelligence and behavioral signals to intervene before churn occurs.

• Track RFM decline, lengthening purchase cycles, engagement drop-offs, and return rate spikes that predict churn risk.
• Use "likely to churn" and "likely to purchase next" models to prioritise retention efforts on saveable, high-value customers.
• Analyse which first products, categories, price points, and offers lead to repeat purchases vs. one-time buyers.

The difference between profit and loss isn't acquisition. It's getting customers to buy a second, third, and fourth time.

• Identify optimal timing between first and second purchase, then trigger targeted win-back campaigns before customers forget you.
• Create post-purchase journeys based on what actually drives repeat behavior; product recommendations, replenishment timing, loyalty milestones.
• Ensure onsite, email, SMS, paid retargeting, and in-store interactions use the same customer data so shoppers feel recognised everywhere.

• CRM & retention marketers owning repeat purchase, churn reduction, and loyalty programs 
• CMOs & Heads of Marketing shifting focus from acquisition to retention by defending and growing the existing customer base.
• Retail teams enabling personalised follow-ups and engagement that drive return visits and increases in-store spend. 
• Customer experience terms aligning service, messaging, and offers around the customers that matter most over time.