retargeting-funnel

Design multi-stage retargeting ad funnels that re-engage visitors based on their browsing depth — from homepage bouncers to cart abandoners — with platform-specific creative formats and frequency caps that convert without fatiguing the audience.

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Install skill "retargeting-funnel" with this command: npx skills add leooooooow/retargeting-funnel

Retargeting Funnel

Retargeting Funnel maps every visitor segment your store creates — the homepage bouncer, the category browser, the product-page viewer, the add-to-cart abandoner, the checkout-step dropout — to a distinct ad sequence with creative, offer, frequency cap, and exit rule tuned to that segment's purchase intent. Most ecommerce brands run a single "site visitors" retargeting audience and burn impressions on people who will never buy while under-investing in users one click from conversion. This skill gives you a layered funnel that spends more on warmer audiences, rotates creative before fatigue sets in, and graduates users out of the funnel after they convert or after a defined cool-down.

Use when

  • A Shopify, TikTok Shop, or Amazon DSP seller wants to build a Meta or TikTok retargeting funnel from scratch and is asking "what audiences should I create and what ad goes in each one"
  • The user is running a single broad "all site visitors past 30 days" retargeting set and complaining that frequency is high while ROAS is collapsing or click-through rate is decaying week over week
  • A brand is launching a new product and needs a sequenced re-engagement plan for traffic from launch ads, influencer drops, or PR coverage that did not convert on first visit
  • The user mentions cart abandonment, view-content audiences, custom audience layering, frequency capping, sequential messaging, or "warm audience" strategy and wants a complete funnel design rather than a single tactic

What this skill does

The skill takes your traffic mix and conversion funnel inputs and returns a four-to-six-stage retargeting blueprint. For each stage it specifies the audience definition (event, lookback window, exclusions), the creative angle (problem reminder, social proof, objection handling, urgency, last-chance offer), the recommended format (single image, carousel, UGC video, dynamic product ad), the frequency cap, the bid strategy, the exit condition, and the budget split as a percentage of total retargeting spend. It also flags overlap risks between stages and tells you the order to launch the stages in if budget is limited.

Inputs required

  • Traffic source mix (required): rough breakdown of where unconverted visitors come from — paid social, organic, influencer, email, search
  • Average days from first visit to purchase (required): used to set lookback windows and frequency
  • Average order value and gross margin (required): determines how aggressive the bottom-of-funnel offer can be
  • Pixel and event coverage (required): which events are firing reliably (ViewContent, AddToCart, InitiateCheckout, Purchase)
  • Existing creative assets list (optional): video UGC, lifestyle photos, founder-story content, review screenshots — improves stage-by-stage creative recommendations
  • Total monthly retargeting budget (optional): drives the budget-split percentages

Output format

The deliverable is a single retargeting funnel document organized as a stage-by-stage table followed by an implementation checklist. Each stage row contains: stage name, audience rule, exclusion rule, creative angle, format, recommended copy hook, frequency cap, bid strategy, success metric, exit condition, and budget share. Below the table the skill provides a launch sequence (which stages to ship in week one, two, and three), a creative-rotation cadence to prevent fatigue, and a list of audience overlaps to monitor in the platform's audience overlap tool. A short troubleshooting section calls out the three most common failure modes — frequency creep, audience cannibalization, and post-purchase exclusion gaps — and how to detect each one in reporting.

Scope

  • Designed for: ecommerce operators, performance marketers, and DTC growth teams running paid social retargeting
  • Platform context: Meta Ads, TikTok Ads, Google Display, and Amazon DSP — concepts apply across platforms with platform-specific creative notes
  • Language: English

Limitations

  • Does not pull live audience size, frequency, or ROAS data from your ad accounts — recommendations are structural and must be validated against your actual numbers
  • Does not write final ad copy or design creative assets — it specifies the angle, hook, and format so a copywriter or designer can execute
  • Frequency cap and budget-split numbers are starting points based on common ecommerce benchmarks; final values should be tuned against your own fatigue and ROAS curves over the first two weeks of running the funnel

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