Industries

Retail

Seasonal Shopper Loyalty Engine

Why this matters for retail right now

In a seasonal town your customer list is really three lists. The people who live here, the people who arrive for a few months, and the ones passing through for a weekend. Sending all three the same email is how a good list stops working.

Sorting that out by hand is nobody's favourite Tuesday. AI keeps the segments current as people shop, so the product drop reaches the customers it suits and the reactivation email lands the week the seasonal crowd flies back in.

AiD Design is an AI and automation agency based in Melbourne. We build these systems for businesses across Australia, and for US businesses through our partnership with MyLocalEverything.

The automations

What we put to work

We rarely build all of these at once. We start with the one costing you the most, prove it, then add the next.

  1. POS, email, and SMS capture

    Builds the list from actual transactions rather than from whoever remembered to ask.

  2. Tourist/local/seasonal segmentation

    Keeps the three audiences apart, and keeps the split accurate as people move between them.

  3. Loyalty and VIP list automation

    Recognises your best customers without anyone maintaining a spreadsheet of them.

  4. Review automations

    Asks at the point of purchase, when goodwill is at its highest.

  5. Product-drop campaigns

    Tells the right customers about new stock, based on what they have bought before.

Common systems we connectShopify/LightspeedKlaviyo

Our process

How a build actually runs

Six stages. You see something working long before the last one.

Discovery

We sit with how the work actually moves through your week. Who touches an enquiry, where it stalls, and what it costs you when it does.

Strategy

We pick the handful of jobs worth automating first, and say plainly which ones are not worth it yet. You get the reasoning, not just the recommendation.

Design

We map what each automation does, what it never does without you, and what the customer on the other end experiences.

Develop

We build it against your real systems and your real data, so you are reviewing the working thing rather than a description of it.

Implement

It goes live in draft-for-approval mode. Nothing reaches a customer until you have seen the shape of what it sends.

Accelerate

Once it has earned trust we widen its remit, tune what is underperforming and add the next job to the queue.

Questions

Asked, answered

We send a newsletter already. Is this different?

A newsletter goes to everyone. This decides who should hear about what, and keeps that decision current as people buy things.

How does it know who is a tourist?

Purchase pattern, timing and location signals, refined against what you already know. It is a judgement the system keeps updating rather than a label set once.

Get in touch

One call. Tell us which of these is costing you the most, and we will tell you whether it is worth building.

Get in touch