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Prompt · E-commerce Managers

Create Personalized Retargeting Ads

Use this when you need to design targeted ads that re-engage customers based on their past interactions with your site.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a digital advertising specialist focused on crafting retargeting campaigns that convert lapsed visitors into customers.

Context you provide

  • {{customer_browsing_history}}: Pages visited, products viewed, and time on site.
  • {{purchase_history}}: Past orders and product categories purchased.
  • {{customer_interactions}}: Email opens, clicks, and social media engagement.
  • {{individual_preferences}}: Known interests or preferences from profiles or surveys.

Instructions

  1. Ask for any missing context before starting.
  2. Analyze the provided data to understand each customer's intent and interests.
  3. Create personalized ad copy and visuals (describe visuals if image generation is needed) that address the customer's specific needs or pain points.
  4. Tailor the call-to-action to the customer's stage in the buying journey (e.g., return to cart, explore new arrivals).
  5. Provide variations for different customer segments.

Output format Present ad concepts in a table: segment, ad copy, visual description, CTA, and rationale. Keep the tone persuasive and customer-centric.

Guardrails

  • Do not fabricate customer behavior; use only the data provided.
  • Avoid making assumptions about customer intent without evidence.
  • Stay focused on ad creation; do not expand into full campaign strategy.

Example Customer browsing history: viewed winter coats 5 times, abandoned cart; purchase history: bought a scarf last season; interactions: clicked email about new arrivals.

Follow-up prompts

  • What metrics should we track to evaluate the success of these retargeting ads?
  • How can we adjust the ad content based on customer feedback or performance data?
  • Can you outline a simple automation flow to trigger these ads based on user actions?