12 AI marketing tricks that will make you a better marketer
Updated
AI does not replace marketing strategy. It helps good marketers research faster, produce more variations, analyse more information and automate repetitive work. These AI marketing tips explain how to use AI in marketing, from customer research and buyer personas to ChatGPT prompts for marketing and smarter testing. The objective is not to let AI think for you. It is to give yourself more time for the work that requires human judgement.
1.Make AI interview you before it creates anything
Do not ask for a campaign straight away. Ask it to put 15 questions to you first about the product, customer, market, competitors, pricing and objective. Output quality tracks input quality.
2.Turn customer conversations into insight
Feed it anonymised emails, reviews and sales calls. Then ask for recurring problems, common objections, reasons people do not buy, the words customers repeat, and the questions your marketing never answers. This is how to use AI for customer research without inventing evidence.
3.Build personas from evidence, not imagination
Give it real customer data and ask it to segment by motivation, purchasing power, urgency, awareness level, objections and likelihood to convert. An AI buyer persona from real data is useful because AI organises your evidence instead of manufacturing a fictional customer.
4.Write a different message for every funnel stage
Someone discovering your brand should not get the same message as someone who abandoned checkout. Ask for separate messaging across awareness, problem recognition, consideration, comparison, purchase, retention and reactivation.
5.Generate creative angles, not just captions
Captions are AI's weakest use. Ask for angles such as pain, aspiration, convenience, price, social proof, risk reduction, demonstration, comparison, urgency and identity. Then build hooks underneath each one.
6.Ask AI to attack your campaign
It is far more useful as a critical strategist than as a yes-man.
“Find the weaknesses here. What assumptions am I making? Why might customers ignore this? What objections have I failed to answer?”
7.Read ad performance past ROAS
Have it examine hook versus click-through, creative versus audience, offer versus conversion, landing page versus checkout behaviour, frequency versus creative fatigue, acquisition cost versus margin, and first purchase versus lifetime value.
8.Build a real testing matrix
Three segments × four angles × five hooks × three formats × two CTAs. AI organises the combinations, while you control the variables. Change everything at once and you will never know what worked. This is the foundation of how to test ad creatives properly.
9.Repurpose one strong idea intelligently
One article or workshop becomes a LinkedIn post, a carousel, a short video, an email, a sales deck, a checklist and a training module. Adapt the idea for each platform instead of copy-pasting it.
10.Let AI triage your CRM
It can sort leads into ready-to-buy, interested-but-never-followed-up, price-sensitive, needs-more-information, past buyers ready for another offer, and at-risk-of-going-quiet. It can then recommend the next action.
11.Make your customer support automation smarter
AI support automation can answer FAQs, recommend products, qualify leads, take orders, send reminders, recover abandoned conversations, switch languages, and hand complex cases to a human.
12.Use AI as a decision-support system before launch
Ask it to simulate the customer, finance manager, salesperson, media buyer, brand strategist, service agent and competitor. Each viewpoint exposes a different weakness.