Customer profiling and segmentation
Scoring customers on recency, frequency and spend, or grouping them with clustering, turns a raw CRM export into segments like “Champions” and “At Risk” — replacing gut feel with a number. A company might find hundreds of high-value customers whose visits are slipping, each worth thousands in past spend, making them a sharper win-back target than a new customer acquired from scratch.
Decision it enables: which customer segments to target with retention or win-back campaigns, and which to leave alone.
Read the blog post →Market basket analysis
Analyzing which products are bought together reveals natural bundles and cross-sell opportunities that aren't obvious from sales totals alone. Small companies can turn those patterns into "frequently bought together" suggestions and margin-friendly bundles, smarter product placement, and even better reorder planning for companion items — all without extra marketing spend.
Decision it enables: which products to bundle, promote together, or place near each other, online or in-store.
Read the blog post →Lead scoring and valuation
Tracking conversion rate and lifetime value by lead source, not just lead volume, often reveals surprises: referrals converting at 12% versus 2% for paid ads. Even a small lift, from 5% to 6%, can mean 20% more revenue from the same leads.
Decision it enables: which channels to fund, and which are quietly wasting marketing spend.
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