UnderstandFind the signals behind churn and declining engagement.
Ask across customer behavior, transactions and loyalty data.
Ask your customer data. Know what to do next. Turn loyalty signals into retention actions.
Ask questions across customer, loyalty and behavioral data to identify at-risk segments, understand why engagement is changing and decide the next best retention action.
30 minutes, your own question, worked through live.
Proposed moveWin-back journeyPending approval
Held for approvalNothing sends until a person approves it.
Trusted by customer-focused enterprises
How it works
Ask a business question. See aiRA work through it.
From a question to its drivers and a recommended next action, without starting from SQL, dashboards or analyst tickets.
aiRAWhich lapsed buyers are worth winning back before the festive window?
Reading the warehouse you already have, and ranking the list by the margin each name carried.
Discovering documents · loyalty_schema9 found
Running SparkSQL · lapsed-buyer cohort5 cohorts · 1.6s
aiRAHeadline KPIsV1
Lapsed · 90D41,208▲ 6% vs July
Full-price share38%
Keep the full-price buyers only. What is the list worth if one in five returns?
Held to full-price buyers. The list narrows, the margin holds.
Saved audienceFull-price lapsed9,340 membersFull price90-day lapsedHigh margin
aiRAThe move comes back built. Nothing sends until a person approves it.
Proposed moveWin-back journey9,340 members · budget and send window setPending approvalApproveHold
Beyond the answer
Don’t just find at-risk customers. Understand why.
aiRA combines behavioral, transactional and loyalty signals to explain what is driving disengagement and recommend the right retention move for each segment.
Pending approvalaiRA recommends. You stay in control.Nothing customer-facing goes live until a person approves it.
Flat 15% discount, every segmentLoss-making
−33.3%Net ROI
−AED 509MNet impact
15%Margin given away, across the board
Why it fails: it subsidizes customers who would buy anyway. Loyal customers are 53% of revenue.
Segment-specific reward structurePredicted ROI
- Loyal customers294,024 · AED 5,400MEarly Access + 2X Points3% cost+137%
- Potential loyalists297,604 · AED 1,545MSpend X, unlock Y milestone7% cost+99%
- At-risk customers88,945 · AED 907MReturn bonus + 10% coupon (with expiry)10% cost+80%
- One-timers, promising8,512 · AED 31M2nd purchase bonus points5% cost+346%
- One-timers, potential194,212 · AED 494MCart threshold + bonus points6% cost+82%
- One-timers, low value199,445 · AED 99MSpend-gated milestone2% cost+132%
#1Loyal customers294,024 customers · sensitivity 0.62
Early Access + 2X Points
Flat 15%AED 810.0M
Smart (3%)AED 162.0M
Saves AED 648.0M · ROI −33% → +137%
“Already profitable, no discounts needed. Exclusivity drives retention.”
Margin protected12.0%
#2Other354,428 customers · sensitivity 0.89
Category Bonus Points
Flat 15%AED 250.1M
Smart (4%)AED 66.7M
Saves AED 183.4M · ROI −33% → +46%
“Cross-category nudges with bounded cost.”
Margin protected11.0%
Flat 15% vs smart strategy+AED 974M swing
AED 1,065MCampaign cost saved
+AED 465MNet impact (flat: −AED 509M)
+134 ppROI, −33.3% → +100.8%
10.5%Revenue margin protected
Predicted ROI by marketFlat 15% Smart
KSA−33.3% → +101%
UAE−33.3% → +106%
Oman−33.3% → +95%
Qatar−33.3% → +98%
Compare
Retention work, without the handoffs.
Most retention programs run on reports, tickets and lists rebuilt across several tools. aiRA keeps the question, the reasoning, the segment and the move in one place.
| Particulars | Today | With aiRA |
|---|---|---|
| Identifying churn and lapse risk | Periodic reports, often after customers have lapsed | Ask anytime; at-risk segments surfaced from recency, frequency and value |
| Understanding why customers disengage | Analyst tickets and manual slicing across tools | Drivers explained, with the reasoning shown |
| Segmentation | Rule-based lists built by hand or in SQL | Built from plain-English intent and saved as a reusable segment |
| Loyalty context | Tier, points and reward data analyzed separately | Tiers, points and reward economics part of the analysis |
| Retention strategy | Often one offer applied across segments | A recommended move per segment, with expected impact |
| Reward and offer decisioning | Offer depth set by rule of thumb | Reward modelled per segment against margin before launch |
| Journey preparation | Briefed and rebuilt in another tool | Audience and win-back journey prepared in the same thread |
| Human approval | Varies by workflow | Nothing customer-facing goes live until a person approves |
See it on a retention question from your own program.
Marketing jobs
One AI agent across your marketing workflow.
SegmentBuild audiences based on value, behavior and retention risk.
Plain-English intent becomes a usable segment.
DecideChoose the right offer, reward or intervention.
Customer and loyalty context informs rewards and offers.
OrchestrateMove the audience into a win-back or retention journey.
From an approved audience to a journey, campaign or activation.
Also supporting campaign intelligence, multi-market execution, fraud and risk analysis.
Outcomes
Real outcomes from real customer workflows.
38 days
To a production-ready loyalty programme redesign
Discounts held at 10% or less
Premium menswear retailer · loyalty redesign. aiRA compared the proposed and current programme on health, ATV, frequency and points economics, and modelled visit milestones with revenue projections.
Marketers author promotions in plain English and aiRA moves them from test to production, across 20+ monthly templates, with zero configuration errors after adoption.
Behavioural segmentation and a propensity model across five lifecycle cohorts, with aiRA orchestrating the five-week campaign. Also +29.4% new customers year on year.
A five-stage aiRA workflow (pre-processing, execution plan, post-processing, QA and automated execution) scaled configuration from 1 to 90+ partner organisations at 99.9% accuracy.
Select a result to see how it was achieved.
Results from individual customer engagements; brands anonymised at customer request.
Solutions
Every industry asks its own questions.
A grocer's week looks nothing like a carrier's or a hotel's. aiRA knows each industry down to its categories, and the questions that come with them.
Find the members who installed the app and have never paid with it.Grocery & SupermarketWeekly trips, thin margins. Small basket and frequency shifts move the whole number.
Fashion & ApparelDrops and seasons spike demand, returns eat margin. Repeat buyers decide the year.
Specialty & Outdoor RetailBig-ticket enthusiasts who shop in seasons. Who returns between peaks matters most.
Home & FurnitureHigh tickets, years between purchases. The work is staying relevant in the gap.
Convenience & FuelOne customer, two datasets: forecourt and store. The margin lives inside the shop.
Health & BeautyReplenishment you can set a clock by. A missed refill window is churn seen early.
Department & DiscountWide assortments, thin margins. Cross-category movement decides who becomes loyal.
Other RetailElectronics, marketplaces and D2C. Different catalogues, same need: answers fast.
How did last month's limited-time offer read by daypart, region and location?Quick ServiceSpeed is the product. Frequency is counted in visits a week, not trips a month.
Fast CasualHigher ticket, same hurry. The app is where the relationship actually lives.
Casual DiningOccasion-led and booking-led. The regular who stops coming rarely says why.
Family DiningGroups, not covers. One household going quiet takes four seats with it.
Fine DiningFew visits, high value. Being recognised matters more than any discount.
Coffee & BeverageA daily habit on a tiny ticket. The model rests on the streak holding.
Bakery & DessertImpulse and occasion in one basket. Demand moves with the calendar.
Franchise GroupsOne brand, many owners. The data is split before anyone can read it whole.
Which members are one stay or one segment short of status while the qualification window is still open?Hotels & ResortsNights, not transactions. Status and rate plan decide what a guest is worth.
Casinos & GamingPlay, stay and dine on one card. The tier is the whole relationship.
AirlinesMiles outlive the trip. Status chasing is the most predictable behaviour there is.
CruiseOne booking a year at most. The gap between sailings is where loyalty is lost.
Theme ParksSeason passes and single-day visitors behave nothing alike.
Car RentalBooked late and compared hard. Loyalty here is convenience before affinity.
Vacation OwnershipBought once, used for decades. Engagement is the product after the sale.
Hospitality GroupsMany flags, one guest. Recognising them across brands is the hard part.
Did last quarter's upgrade campaign move ARPU, or just move spend between plans?Cable & BroadbandOne line per household. Churn arrives as a phone call, not as a trend.
FiberOverbuild and switch. The first ninety days decide the next five years.
Wireless CarriersDevices, plans and family lines. ARPU moves for reasons the plan never shows.
MVNOThin margins on prepaid habits. A missed top-up is a customer half gone.
SatelliteCoverage where nothing else reaches. Retention is the only growth lever.
How it fits
aiRA sits between your data and your channels.
You already own the warehouse and the channels. What's missing is the judgement in between.
System of record
The intelligence layer
Reasoning engineYour business context140+ playbooksLearns from every approval
System of action
SOC 2 Type II
GDPR
CCPA
Also ISO 27001 · PCI DSS · PDPA
Customer story
See how enterprise teams put aiRA to work.
From weeks to minutes.
NASCAR's marketing and CRM teams use aiRA, which already understands their fans, their data and the rhythm of a race season.
“…without me even having to ask.”Donald Ball, Managing Director, Product Marketing, NASCAR
Bring your toughest retention question.
Bring a real question about churn, customer segments, loyalty behavior or retention. See how aiRA analyzes the signals, explains the drivers and recommends what to do next.
- Answered live, with the reasoning shown
- Security and architecture brief available beforehand