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AI variant suggestions

Once you have a few completed campaigns, liftstack can generate new variant ideas based on what has actually worked for your audience. This is not a generic AI copywriter; suggestions are grounded in your actual test data.

Requires an LLM connection configured in Settings > AI. Available on all plans with a configured API key.

How it works

On any snippet detail page, look for the “Suggest variants from winning patterns” panel. When you request suggestions, liftstack:

  1. Analyses your historical test results to identify patterns that consistently win (tone, structure, length, framing)
  2. Injects the top winning patterns as context for the AI
  3. Generates new variant content that follows those patterns while remaining distinct from what you have already tested

Each suggestion shows why it was generated (e.g., “urgency framing has won 5 of your last 7 hero tests”) so you can evaluate whether the reasoning makes sense.

You can accept a suggestion to create a new variant directly, edit it first, or dismiss it.

Brand guidelines

If you have configured brand guidelines in your workspace LLM settings (Settings > AI), the suggestions respect your brand voice and style constraints. This prevents the AI from generating content that feels off-brand, even when following data-driven patterns.

Winning pattern analysis

Behind the scenes, liftstack identifies winning patterns by looking at attribute-value combinations (from content attributes) that correlate with winning variants. A pattern qualifies as “winning” when:

  • The variant has appeared in at least 3 completed campaigns
  • The variant has won at least once
  • The variant’s win rate is 40% or higher

Patterns are sorted by frequency, with the top 5 by win rate included in the AI generation prompt.

Without an LLM connection

AI variant suggestions require a configured LLM provider. Without one, the suggestion panel is not available. You can still use Content Intelligence insights (limited to automatic and rule-based attributes) and the Content Playbook to inform your variant creation manually.


Template scanning

liftstack can also scan your existing ESP templates to identify content areas suitable for A/B testing. This runs automatically in the background.

For each template in your connected platform, liftstack detects:

Block typeHow it is detected
Subject lineAlways present
HeadingsH1-H3 HTML tag patterns
CTA textButton and link elements with button styling
PreheaderElements with preheader class or HTML comment patterns

Template scanning is entirely rule-based (no AI required) and works on all plans. Use it to spot testing opportunities in templates you have not experimented with yet.