"You are given a list of URLs with UTM parameters. Apply the PAS framework to highlight the problem of inconsistent tagging, agitate the confusion it causes in GA4 reports, and then provide solutions. Produce a table listing each URL, missing or incorrect UTM fields, and a recommended fix. Explain the benefit of each correction in a ‘so you can…’ column. Conclude with a micro‑CTA encouraging the user to standardize their naming convention and update links: [CTA_URL]."

"Using GA4 predictive metrics for your [GA4 property], follow PAS to define the struggle of generic audiences, agitate the wasted ad spend on broad segments, and then propose predictive segments. Output bullets describing each predictive audience (e.g., likely purchasers, at‑risk churners) with the feature and its benefit. End with a micro‑CTA to export these segments to your ad platform: [CTA_URL]."

"Consider your [sales cycle length] and marketing objectives. Use PAS to describe why picking the wrong model costs money, agitate common misinterpretations of first and last click, then compare first‑click, last‑click, linear, time decay, position based and GA4’s data‑driven models. Present a comparison table highlighting pros and cons and include a recommendation column. Finish with a micro‑CTA guiding the user to implement the chosen model in GA4: [CTA_URL]."

"Outline a checklist for implementing hybrid or server‑to‑server tracking with GTM. Start by framing the problem of inaccurate data due to ad blockers, agitate the consequences for attribution, then provide step‑by‑step tasks. For each task, translate the feature into a benefit (‘so you can…’). Include tasks like choosing a domain, deploying a server container, and testing events. End with a micro‑CTA to begin setup now: [CTA_URL]."

"Ask the user for their [brand or product], then apply PAS to stress the chaos of inconsistent UTMs, agitate how it wrecks attribution, and deliver a naming convention. Produce a table with utm_source, utm_medium, utm_campaign, utm_term and utm_content, with examples and their benefits. Conclude with a micro‑CTA prompting the user to generate UTMs using the convention and Google’s builder: [CTA_URL]."

"Walk the user through enabling Google Signals, marking key events as conversions and meeting data thresholds. Use PAS to illustrate the frustration of missing predictive insights, agitate the reliance on guesswork, then present numbered steps. Translate each feature (e.g., enabling Signals) into a benefit (e.g., cross‑device tracking). End with a micro‑CTA inviting the user to audit their GA4 property now: [CTA_URL]."

"Explain why standard reports hide the full journey, agitate wasted budget, then outline the components of a custom dashboard. Use bullets or a table to list required data sources, metrics (e.g., path length, assisted conversions), visualizations and filters. For each component, clarify the benefit. Finish with a micro‑CTA encouraging the user to build the dashboard: [CTA_URL]."

"Frame the problem of losing customers silently, agitate the cost of churn, then use GA4 churn probability to identify at‑risk users. Create a bullet list of retention tactics (e.g., personalized email, targeted offers) with feature→benefit translation. End with a micro‑CTA to apply these tactics now: [CTA_URL]."

"Describe the problem of diminishing data due to privacy laws, agitate potential fines or lost trust, then outline steps to implement consent mode, first‑party cookies and server‑side tracking. Use bullet points with feature→benefit pairs. Conclude with a micro‑CTA inviting the user to audit their tracking practices: [CTA_URL]."

"Highlight the frustration of guessing which channel drives revenue, agitate wasted ad dollars, then instruct the model to calculate revenue per channel using [conversion values] and [channel touchpoints]. Provide a table showing channel, conversions, revenue and ROI with features→benefits. Finish with a micro‑CTA to adjust budgets based on the results: [CTA_URL]."