The same person, recognised everywhere.
A card swipe in Jaipur, a UPI scan at the counter, an app session at midnight and a support call on Monday are one customer. We resolve them into a single profile — built on what people actually did, because the spending data is on our ledger — and give you segments and journeys you can act on.
A profile built on money, not on guesses.
Most customer platforms know what someone clicked. We know what they paid for, where, how often, and whether they came back — because the transactions run through the same platform.
Identity that actually resolves
Mobile number, card token, email, loyalty ID and app device collapse into one record, with a confidence score and a history of every merge.
Behaviour you can trust
Segments are built from cleared transactions and real visits. A customer who 'drifted' is one whose spend actually stopped.
Journeys that trigger on events
A balance running low, a missed month, a first swipe, a tier about to lapse — each can start a journey the moment it happens.
What is in the box.
Identity resolution
Deterministic matching on verified identifiers, probabilistic matching on the rest, with a reviewable merge history and one-click unmerge.
Unified timeline
Every card spend, bill payment, points movement, app session, store visit and support ticket in one chronological view per person.
Computed attributes
Lifetime value, average basket, visit frequency, preferred category, preferred store, days since last transaction — recalculated as events arrive.
Consent and preference centre
Channel-level consent (SMS, WhatsApp, email, push) recorded with timestamp and source, enforced automatically in every journey.
Behavioural segment builder
Combine spend, frequency, recency, category, geography, tier and consent in a visual builder. Segments refresh continuously.
Ready-made segments
Lapsing, high-value, new-this-month, single-visit, tier-adjacent, never-redeemed — available on day one and editable.
Lookalikes and exclusions
Find customers who behave like your best ones; exclude anyone who complained last week or opted out yesterday.
Event-triggered journeys
Start on a transaction, a balance threshold, a tier change, an inactivity window or a support outcome. Branch on what the person does next.
Multi-channel delivery
App push, SMS, WhatsApp, email and in-app messages, each respecting the person's consent and a frequency cap you set.
Offers worth money
Attach a points credit, a card balance top-up or a bill-payment credit to any message. Redemption is tracked back to the journey.
A/B tests and holdouts
Test message, timing and offer size, with a holdout group so you can see what the journey actually changed.
Cohort and retention views
Retention by acquisition month, channel or first category. Revenue per cohort over time. Churn curves that use real spend.
Campaign attribution
Incremental spend, redemptions and visits attributed to each journey against the holdout — not last-touch guesswork.
Store and branch performance
Footfall, repeat rate and average spend by location, from the same transaction data.
Import and export
Bring in CRM, POS and web data by file or API; export profiles, segments and events to your warehouse or CRM on a schedule.
Webhooks and API
Every profile event is available in real time for your own systems, with the same consent flags attached.
Privacy by design
Data stays in India, is minimised per purpose, and is deleted on schedule. Data-principal requests are handled through one console.
Role-based access
Marketing sees segments, not card numbers. Support sees the timeline, not the segment logic. Auditors see everything, read-only.
From scattered signals to one journey.
Connect the sources
Card, bill and points data are already on the platform. Add your POS, app, website and CRM by file or API.
Resolve identities
We match identifiers into one profile per person, with a confidence score and a history you can review.
Build segments
Use the ready-made ones or build your own from real behaviour. They refresh as new events arrive.
Run journeys, measure honestly
Trigger messages and offers on events, deliver within consent, and read the result against a holdout.
Anyone who wants the second visit.
Retail and D2C
Recognise the shopper across store and app, win back the ones who drifted, and move the near-tier customers over the line.
Fuel and QSR chains
Frequency-driven businesses where a missed week is a signal, and where a small credit on the card brings the visit back.
Banks, NBFCs and insurers
Customer profiles that include payment behaviour, with journeys for on-time payment, renewal and cross-sell.
Transit and mobility
Riders on NCMC cards recognised across metro, bus and parking, with journeys for lapsed commuters.
Employers
Employee profiles that combine benefits usage, recognition and expense behaviour for HR analytics, within consent.
Hospitality
Guest profiles across properties with preferences, spend and loyalty status in one view for the front desk.
Questions about engagement and data.
Whose data is it?
Where is the data stored?
How is consent handled?
Can we connect our existing CRM?
What does 'built on real spending' actually mean?
See it with your own numbers.
A 30-minute call, a straight answer on timeline and cost, and partner licence details for your compliance team.