I’m merging every key data source—Shopify, Google Ads, Meta Ads, Snapchat Ads, Adjust (for the mobile app) and our existing GA4 property—into a single reporting flow and need the whole setup built and validated.
The work breaks down into two parts.
1. Tracking & data plumbing
• Map all Shopify e-commerce events to GA4, making sure purchase value, discounts and refunds reconcile 1:1 with the store’s back-end.
• Link Google Ads, Meta Ads and Snapchat Ads to GA4, using their respective Conversion APIs where possible so we keep signal loss to a minimum.
• Feed Adjust post-install events into GA4, aligning naming conventions so web and app funnels read as one journey.
• Test every event and audience, then document the validation results so I can reference them later.
2. Looker Studio build-out
The dashboard must surface two core report groups:
• Sales Performance – revenue, AOV, ROAS, margin by product, channel and geography.
• Ad Campaign Effectiveness – spend, CPC/CPM, impressions, assisted conversions and attribution windows for each campaign, ad set and creative.
Give me filter controls for date, channel and device type, plus a single-click export to Google Sheets. Speed matters; visualisations should load in under five seconds for the last 90-day view.
Acceptance criteria
• Data in Looker Studio matches Shopify and ad-platform totals within 2 %.
• GA4 debug view shows no duplicate or missing events.
• All reports refresh automatically without manual intervention.
• A short Loom walkthrough (≤10 min) explains the architecture and how to extend the dashboard.
Please outline your estimated timeline and the main tools you’ll rely on (e.g., GTM server-side, BigQuery, Supermetrics, native connectors).
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