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Loyalty & Relationships

Journeys & segmentation

Automated journeys, A/B testing, scheduling

Integration

In one sentence

What it is

Automated journeys, segmentation and A/B testing let brands send the right message to the right customer at the right moment, without manually building every campaign by hand.

How it works

What it does

Rather than one-off campaigns, journeys are automated sequences triggered by customer behaviour — a welcome series after signup, a win-back sequence after a period of inactivity, a post-purchase follow-up. Segmentation groups customers by attributes and behaviour so journeys and campaigns target the right audience rather than the whole list, and A/B testing lets brands compare messaging or timing variants to see what actually performs before rolling it out fully. This runs through the same integrated marketing automation providers as multi-channel campaigns, so it's scoped and set up as a project per brand.

The problem it solves

Why it matters

For the brand

Manually building and sending every campaign doesn't scale, and blasting the same message to the whole customer base ignores the fact that a new customer, a lapsed customer and a loyal repeat buyer all need something different — automated, segmented journeys are what makes relevant, timely marketing possible at scale.

For their customers

Irrelevant, poorly timed marketing — a welcome email three weeks after signing up, or a promotion for something they already bought — feels like the brand doesn't know them, which erodes trust rather than building it.

For shoppers

How it benefits shoppers

  • Messages arrive at moments that actually make sense — right after signing up, or when they've drifted away.
  • Content and offers are more relevant because they're targeted by real behaviour, not sent to everyone identically.
  • Less irrelevant marketing noise overall, since testing refines what's actually sent.
  • A brand relationship that feels like it's paying attention, not broadcasting blindly.

For the brand

How it benefits the brand

  • Automated journeys run continuously without manual campaign-by-campaign effort

    Marketing team time saved, journey coverage

  • Segmentation improves relevance and therefore campaign performance

    Open rate, click-through rate, conversion rate

  • A/B testing replaces guesswork with evidence on what messaging actually works

    Testing velocity, uplift from winning variants

  • Win-back and re-engagement journeys recover revenue that would otherwise be lost to lapse

    Reactivation rate, churn reduction

In practice

What it looks like

  1. 1

    A new customer signs up and is automatically enrolled into a welcome journey.

  2. 2

    A different segment — customers inactive for 90 days — receives a separate win-back journey instead.

  3. 3

    The brand runs an A/B test on the win-back subject line to see which performs better.

  4. 4

    The winning variant becomes the new default, and the journey keeps running without manual intervention.

Where it lands hardest

Strong use cases by industry vertical

  • Health & nutrition

    Replenishment-based journeys (reminding before a customer runs out) suit this category especially well.

  • Beauty & personal care

    Segmentation by product type and routine stage makes messaging highly relevant in a category with distinct sub-audiences.

  • Food, drink & FMCG

    Win-back and replenishment journeys both apply well given high purchase frequency.

  • Pet care

    Segmentation by pet type and life stage is a natural, high-value use of this capability.

  • Fashion & apparel

    Seasonal and behavioural segmentation (browsed but didn't buy, size preferences) suits fashion's varied audience well.

  • Luxury & premium

    Journeys should be lower-frequency and highly considered here — segmentation is about restraint as much as targeting.

Common questions & objections

What clients usually ask

Why the platform version wins

Because journeys and segmentation draw on the same connected customer and order data as the rest of the platform, targeting reflects real, current behaviour rather than a stale export from a disconnected marketing tool.