Personalised Offer — AI workflow for Malaysian SMEs
Personalised Offer turns customer history into next-best offer. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Personalised Offer
Create prompt
Create prompt
Create a first-pass deliverable
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Create next-best offer. You will get customer history from me. Treat this as personalised offer for businesses with repeat purchases, subscriptions, contracts or recurring customer value. Keep every section short and concrete. End with the one action to take next. Give me a clean copy-paste version too.
Replace “customer history” with your real data.
Analyse prompt
Analyse prompt
Analyse the input and identify the highest-impact insights
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Analyse personalised offer for me. Working from customer history, list the five findings that matter, ranked by impact. Tie each to a business consequence. Then build next-best offer. Sign off with three moves to push repeat purchase rate up.
Replace “customer history” with your real data.
Optimise prompt
Optimise prompt
Improve an existing version for better business results
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Review and upgrade my personalised offer. Input: customer history, plus what we currently produce. Tell me where it loses accuracy, clarity or conversion. Remove work that adds nothing. Hand back a better next-best offer, with each improvement mapped as before-issue, change, expected repeat purchase rate movement.
Replace “customer history” with your real data.
Automate prompt
Automate prompt
Turn the task into a repeatable AI-assisted workflow
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Design an AI-assisted automation around personalised offer. Starting point: customer history. End result: next-best offer. Connected systems: CRM, POS, loyalty system, email, WhatsApp Business. I need the trigger, field list, AI instruction, decision rules, human approval points, failure handling, stored records and a repeat purchase rate tracking method. Keep maintenance light.
Replace “customer history” and the listed systems with what you actually run.
New here? How the four prompts work together
They are one sequence, not four options. Run them in order on the same piece of work, feeding each answer into the next.
Create
Paste your real data. You get a first draft. Most people never need to go further than this.
Analyse
Paste that draft back in. It tells you what is weak, missing or wrong before a customer sees it.
Optimise
Paste the draft again with what Analyse found. You get a stronger version.
Automate
Only once the output has been good five times running. This is the one people reach for too early.
Nothing forces you through all four. A good Create draft that you edit yourself is a finished job. The longer version.
Specification
- You give it
- Customer history
- You get back
- Next-best offer
- Moves
- Repeat purchase rate
- Run it
- Weekly/Monthly
- Priority
- P1
- Works with
- CRM, POS, loyalty system, email, WhatsApp Business
- Tool guides
- WhatsApp Business, POS systems
Is this for you?
- Pick it for
- Businesses with repeat purchases, subscriptions, contracts or recurring customer value. No setup needed. If you can copy and paste, you can run it.
- What you get
- Drafted in minutes, not built from scratch. It aims at growth. Watch one number: repeat purchase rate.
- Reach for it when
- Most SMEs run it weekly, reviewed monthly. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: customer history.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “customer history” in the prompt with your real data, then run it.
- 04Read the output against what you already know and correct anything the model guessed at.
- 05Track repeat purchase rate. Only wire up the Automate prompt after five useful runs in a row.
The tools you will need
The prompts run in any chat assistant — ChatGPT, Claude or Gemini. These are what you need around them to get the input in and the output somewhere useful.
- loyalty system
- Any tool you already use is fine.
- WhatsApp Business
Check the rules yourself
This workflow touches rules set by someone else. Check the current requirements yourself before you act on the output.
- JPDP
- Pasting customer or staff records into an AI tool is a transfer of personal data. Consent, notice, retention and cross-border rules still apply when the tool is not yours.
Links go to each authority’s own site. See all Malaysian authorities.
Data & privacy
This workflow involves customer names, contact details and purchase history. Under the PDPA your business stays responsible for it, and pasting it into an AI tool may be a disclosure to a third party. Replace names and numbers with initials or references first — the prompt works just as well on “Customer A”.
Using customer data with AI tools in Malaysia covers what to check with any provider before you paste.
For this website, it works differently.
Nothing you type here is sent to us or to an AI model. The prompts are static content, and the copy button works directly inside your browser.
Related workflows
- Churn Risk DetectionTurns customer activity into at-risk customer list.
- Win-Back CampaignTurns lapsed customer segment into win-back sequence.
- Vip Customer IdentificationTurns purchase history into VIP segment.
- Nps Follow-UpTurns survey score and comment into follow-up action.
All customer retention & loyalty workflows: Customer Retention & Loyalty
Maintained by Naven Pillai