LLM Prompts

Retargeting Campaign Scaler: Audience Expansion via Lookalike Modeling

Generates strategies for scaling retargeting campaigns by identifying and targeting lookalike audiences.

The method

Use this prompt in ChatGPT to brainstorm expansion strategies for your retargeting campaigns. Tailor to your industry and platform. Input performance data for more precise suggestions. Analyze and test recommendations before broad application.

The prompts

Prompt 1
Analyze the performance data from my current retargeting campaign targeting users who abandoned their cart on my e-commerce website selling artisanal coffee. The campaign's conversion rate is 3%, and the average order value is $35. My target CPA is $10. Using this data, suggest three distinct lookalike audience strategies on Facebook Ads Manager to scale the campaign while maintaining profitability. For each strategy, include specific targeting criteria (e.g., percentage similarity, demographic filters, interest-based targeting), budget allocation recommendations, and expected performance improvements. Also, detail how to monitor and adjust each strategy based on initial results, focusing on key metrics like cost per acquisition and return on ad spend. Assume a total daily budget increase from $50 to $150.
Prompt 2
I'm running a retargeting campaign on Google Ads for a SaaS product targeting users who visited the pricing page but didn't sign up for a free trial. The campaign's current cost per trial (CPT) is $25, and my goal is to reduce it to $15 while increasing the number of trials generated by 50%. Develop three lookalike audience strategies using Google Ads' similar audiences feature. For each strategy, specify the seed audience parameters (e.g., website visitors, customer match lists), the level of similarity to target (e.g., 1-5%), and the keywords or topics to focus on. Provide a detailed plan for A/B testing these strategies, including the allocation of budget, the duration of the test, and the key metrics to track. Furthermore, suggest adjustments to the bidding strategy (e.g., target CPA, maximize conversions) to optimize performance. Also, detail the importance of data privacy compliance when creating lookalike audiences.
Prompt 3
My retargeting campaign on LinkedIn Ads is targeting individuals who engaged with my content related to data analytics solutions but didn't request a demo. The campaign's current conversion rate (demo requests) is 1%, and I aim to double it. Design three distinct lookalike audience expansion strategies on LinkedIn using LinkedIn's Matched Audiences feature. For each strategy, define the seed audience source (e.g., website retargeting, account-based marketing lists), the targeting criteria (e.g., job titles, industries, company size), and the content or ad formats to prioritize. Explain how to leverage LinkedIn's Audience Network to reach a broader audience beyond the platform while maintaining relevance. Provide guidance on crafting compelling ad copy and visuals that resonate with each lookalike audience segment. Give also information of GDPR and data privacy issues when creating these lookalike audiences on an international scale.