Customer stories
Names withheld. Numbers exact.
Five real deployments, measured in production. Every brand here stays anonymized until it chooses to be named — the descriptors are generic, the numbers are character-for-character.
Middle East value-fashion retailer · KSA · Ramadan 2026 · 14M+ customer base
A regional growth gap, closed in five weeks
Challenge
A pre-Ramadan growth gap of −9.6pp separated the Eastern and Central regions from the rest of the network. Mass targeting reached only 29% of the 14M+ base. 715K active customers and 448K hibernators went untouched.
Solution
aiRA built behavioural segments and a transaction-propensity model across five lifecycle cohorts. It then ran the W34–W38 campaign end-to-end — monitoring ATV continuously, recalibrating every cycle.
Impact
A 7.5pp regional swing. New customers up 29.4% year on year. Each delivered message drove 11.6% more revenue, and average spend held far steadier than under the agency's approach. aiRA won 8 of 9 scorecard metrics head-to-head.
Consumer superapp · 500+ stores · 20M+ active customers · 15+ categories
Offers in plain English, straight to your engine
Challenge
A high volume of offer requests across 15+ categories, each with complex configurations. Getting an offer into production was manual and error-prone. 20+ monthly templates — single-brand and multi-loyalty — required engineering for every change.
Solution
Marketers author offers in plain English — auto-start campaigns, cyclical offers, one-time milestone rewards — and aiRA configures them and pushes them to the offer engine. No engineering dependency.
Impact
End-to-end creation time cut 50%. Configuration errors effectively eliminated across 20+ live templates a month.
Premium menswear retailer · India · loyalty programme redesign · 60-day window
A loyalty programme, redesigned end-to-end
Challenge
A Head of Loyalty inherited an ageing programme: uncertain points economics, no milestone reward structure, unclear tier benefits, and no operational SOP across store team, backend ops, points engine and coupon mechanics. Change risk was high.
Solution
aiRA redesigned the brand's loyalty programme end-to-end. Proposed and current designs were compared on health, ATV, frequency and points economics. 3rd- and 5th-visit milestone rewards were simulated with revenue projections; tier benefits, free-tier earning and exclusion rules were iterated to a final design.
Impact
A production-ready redesign in 38 days — economics modelled, milestone mechanics quantified, and a full 4-part launch playbook — store, ops, points engine and coupons — in place before launch. Discount discipline held ≤10% throughout. No margin leakage.
Leading US healthcare provider · 100M+ members served · 90+ partner organisations
One team's work, scaled to every partner
Challenge
90+ partner organisations, each with unique Customer Requirement Documents, needed manual configuration by 16–20 specialists over three months per cycle — every one demanding full manual review. The programme could not scale.
Solution
aiRA turns each partner’s requirement documents into structured execution plans and carries them through to automated execution — error-free loyalty configuration at scale, with human sign-off before anything runs.
Impact
Configuration effort fell from 90 days to 21. One team's workload scaled from 1 to 90+ partner organisations simultaneously. Manual errors went to zero — 99.9% accuracy — and labour dropped from 20 specialists to 4. 8,000+ offers shipped at year-start, 200+ monthly thereafter.
Footwear retail group · India · multi-brand · 4M+ customers
Nine models, one clear view of the customer
Challenge
The analytics team rebuilt customer personas by hand for every board review. Cuts by CRM tier or price band never answered the real question — who the customer actually is — so the picture kept shifting across categories, channels and stores.
Solution
aiRA converged nine competing models into a single set of six customer personas — defined once and applied the same way across category, brand, price band, channel and store. The same view every quarter, not a fresh guess each time.
Impact
A reusable framework, built in four weeks. Personas held 85.3% steady year on year — the same customers staying in the same groups — and the same view now runs across three sister brands. One consistent picture of the customer, group-wide.