Ecommerce
Customer context, merchandising patterns, retention signals
Ecommerce teams drown in data but starve for context. Loam connects your customer interactions, merchandising decisions, vendor relationships, and retention patterns into compounding intelligence that sharpens every decision across your organisation.
How ecommerce teams use Loam
Every customer interaction, every product decision, every vendor negotiation compounds into deeper commercial understanding.
Customer Context
Unify purchase history, support conversations, browsing behaviour, and review sentiment into a complete customer picture. When a VIP customer reaches out, your team instantly sees their full journey — not just the last order number in a CRM field.
Merchandising Intel
Every product launch, promotion, and assortment change generates learnings. Loam captures what sold, what didn't, which bundles performed, and how seasonal patterns shifted — so your next buying decision is grounded in compounding evidence, not last year's spreadsheet.
Retention Signals
Churn signals are scattered across email engagement, order frequency, support sentiment, and review activity. Loam connects these threads into early warning patterns: which customer cohorts are cooling off, which winback campaigns actually worked, and what predicts a second purchase.
Vendor Management
Track supplier performance, negotiation history, lead times, and quality incidents across your entire vendor base. When it's time to renegotiate or find an alternative supplier, Loam surfaces the full context of every interaction — not just the last PO.
Turn transactional data into commercial intuition
Your analytics platform tells you what happened. Loam tells you why — by connecting the quantitative data with the qualitative context that lives in team conversations, vendor emails, and customer feedback.
Ask “Why did the spring collection underperform forecast?” and get an answer that weaves together sell-through data, customer reviews, competitor launches, and the internal merchandising discussion that led to the assortment choices.
"Which customer segments have the highest reactivation potential based on our last three winback campaigns?"
Loam surfaces
Lapsed buyers (90-180 days) who previously purchased 2+ times have a 23% reactivation rate with personalised product recommendations vs. 6% with discount-led messaging. The January campaign targeting this segment drove $142K in recovered revenue. Support notes show these customers often cite “forgot about you” rather than dissatisfaction — suggesting timing, not incentives, is the key lever.
The compounding advantage
Every transaction adds signal. Every customer interaction deepens understanding. The longer you use Loam, the sharper your commercial instincts become.
40%
faster merchandising decisions
Buyers and merchandisers query Loam for historical performance context instead of manually pulling reports across three different analytics platforms.
2.5x
more context per customer interaction
Support and CX teams see the full customer journey — not just the last ticket. Resolution quality improves because agents understand the relationship, not just the issue.
8hrs
saved per vendor review cycle
Procurement teams walk into supplier reviews with the full history of pricing negotiations, quality incidents, and delivery performance — automatically compiled.
Your customers are more than order numbers. Loam sees the full picture.
Start compounding customer intelligence and commercial context today.