Playbooks. This page is ready
These prompts run in Shopify's Sidekick with no setup, or in any AI tool you've connected to Click Context. They chain data → DOM → element analysis → optional live-page visit, and end with a concrete deliverable.
Tip: paste the prompt as the first message of a fresh conversation. The model performs better when the playbook is the framing instead of an addendum. “Ask Sidekick” copies it and opens Sidekick for you.
Locate revenue that's leaking right now — and what it costs per day.
The starting point. Walks the funnel stage by stage — arrival, browsing, product page, cart, checkout — and reports what real visitors do at each one.
End-to-end funnel audit: finds the biggest revenue leaks, identifies why, and produces a ranked fix list.
Identifies sessions that came close to converting but didn't, finds the pattern, and proposes a recovery play.
Pins the worst funnel drop-off to a specific page element and converts it into a cost-per-day figure.
Ranks products by abandoned cart value (add-to-carts that didn't convert × price), then explains why the top one leaks.
Finds the element visitors stare at longest without clicking — the friction a click heatmap can't see — and whether it's blocking a high-intent moment.
Field-level form abandonment: completion rates with confidence intervals and the exact field visitors give up on.
Reframes and budget decisions: where to invest and what the data really means.
Compares new vs returning visitors on revenue per session and revenue share, then turns it into a budget reallocation thesis.
Plots conversion by number of products viewed per session, finds the non-linear jump, and quantifies the prize of moving the single-product pool up one step.
Ranks every page by attention-per-visit against the traffic it receives, surfacing high-attention pages being starved and low-engagement pages being over-fed.
Runs statistically-corrected conversion correlations and forces an explanation of any backwards-looking result instead of dismissing it as noise.
Cross-references the highest-value visitor cohort with unresolved JS errors, rage hotspots and funnel friction — and reframes the result as a retention risk.
The flagship report. Produces 5–7 findings that each require joining behaviour + commerce + traffic, ranked by revenue impact, each with a specific action.
Stop wasting ad spend and find what the campaigns are doing.
Finds which ad campaigns waste budget by sending bouncing traffic vs. which ones drive engaged sessions.
Finds products that convert normally from organic but collapse from a paid campaign — an ad-to-page mismatch, not a bad product.
Catch breakage and dead surfaces before they bleed a week of revenue.
Compares last 3 days vs. previous 14-day baseline. Catches regressions in errors, click patterns, and conversion before they bleed revenue for a week.
Detects high-traffic 'pages' that are actually broken or encoded URLs — intent-carrying sessions silently bouncing off dead ends.
Compares devices on time + frustration + revenue (not just conversion) to tell a real defect apart from naturally weaker traffic.
Core Web Vitals audit at p75 with Google's grading, tied to the pages where speed actually costs money.
Catalog, search and merchandising signals — demand you're not capturing.
Deep-dive on a single product page: traffic, intent signals, click frustration, layout issues, and a prioritized PDP fix list.
Surfaces unmet demand by analyzing site search queries that returned no results — direct signal of products customers want but you don't carry.
Crosses variant/swatch click demand with inventory and disabled-state markup to surface sold-out colours still being clicked and the highest-demand variant being fumbled.