Octech

Loyalty Programmes

Tiering, points and recognition designed so the reward economics still work at month twelve.

  • Points & Tiers
  • AI Segmentation
  • Win-Back
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Overview

Loyalty designed for month twelve, not launch day

Most loyalty programmes launch well and then fade. Six months in, engagement drops, tiers stop meaning anything and the points liability keeps growing. The problem is rarely the idea. It is that the programme was designed for launch, not for operation.

We build loyalty around the lifecycle from day one: earn and burn rules that hold up financially, tiers people actually want to reach, AI segmentation that keeps re-scoring your members, and nudges that bring lapsing members back before they are gone.

The problem we fix

Loyalty programs fail for one reason: they are designed for launch, not for operation. After six months, engagement drops, tiers become irrelevant, and the program becomes a liability. We design for lifecycle from day one, with AI segmentation and reactivation mechanics built in.

Where AI makes it smarter

Our RFM-based AI segmentation continuously re-scores your consumer base and triggers the right nudge at the right moment: a win-back offer for lapsing members, a tier upgrade prompt for high-frequency buyers, and a bonus challenge for engaged users who have not purchased in 30 days.

What we run

  • Earn-burn architecture

    Points rules, redemption catalogues and expiry logic designed so reward economics still work as the programme scales.

  • Tiers and recognition

    Tier structures with clear, reachable thresholds and benefits that change behaviour rather than just labelling it.

  • RFM-based AI segmentation

    Members continuously re-scored on recency, frequency and value, with cohorts that update themselves as behaviour changes.

  • Lifecycle nudges and win-back

    Automated journeys for onboarding, upgrades, lapsing members and reactivation, triggered at the moment they are most likely to work.

  • Partner and coalition rewards

    Partner catalogues and coalition mechanics that widen what members can earn and burn without widening your costs.

  • CRM and CDP integration

    Connected to the CRM, CDP and commerce systems you already run, so loyalty data is usable everywhere, not trapped in one tool.

How it works

  1. Map the member base

    We start with who your customers are and how they buy, then define the behaviours the programme needs to change.

  2. Model the economics

    Earn rates, burn rates, tier thresholds and liability are modelled before launch so the programme stays sustainable.

  3. Build and integrate

    The programme, member journeys and reward catalogue are built and connected to your CRM, CDP and commerce stack.

  4. Operate the lifecycle

    We run segmentation, nudges and win-back flows continuously and report on retention, frequency and lifetime value.

Outcomes we measure

  • Repeat purchase rate
  • LTV lift
  • Purchase frequency
  • Cohort retention
  • Reactivation rate

Work we've delivered

All case studies

Products that power it

Questions we get asked

Can you add to our existing loyalty programme?

Yes. Our approach is modular and API-first, so we can add segmentation, lifecycle journeys or new mechanics to the loyalty platform you already run rather than replacing it.

How do you keep the points liability under control?

Earn and burn rates, expiry rules and redemption mix are modelled against margin before launch and monitored afterwards, so liability is managed rather than discovered.

What does AI segmentation actually do?

It keeps re-scoring members on recency, frequency and value, then triggers the right action for each cohort: a win-back offer for lapsing members, an upgrade prompt for frequent buyers, a bonus challenge for engaged non-buyers.

How do you handle member data?

We are ISO 27001:2022 certified and build programmes to comply with India's Digital Personal Data Protection Act, 2023, with explicit consent, defined access controls and regular security audits.

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business@octech.in