Automated SEO Reporting Pipelines
Reporting shouldn’t take an analyst a full week. This pipeline aggregates every SEO signal into executive-ready dashboards with zero manual exports.
Reporting shouldn’t take an analyst a full week. This pipeline aggregates every SEO signal into executive-ready dashboards with zero manual exports.
Search Console, GA4, Ahrefs and CRM conversions feed a BigQuery warehouse nightly. dbt models clean and map the data to shared dimensions—market, brand, funnel stage—so leadership can drill down with confidence.
Instead of dashboards gathering dust, we push notable events directly into Slack or Teams: ranking drops, crawl errors, or conversion swings. Each alert links to a Notion playbook so the on-call marketer knows next steps.
C-level decks highlight pipeline impact, not keyword tables. We visualize assisted revenue, share of voice versus competitors, and projected gains from upcoming releases. Stakeholders finally see SEO as a revenue lever.
Automated tests validate schema changes, consent strings and query sampling before data hits Looker. Sensitive metrics route through row-level security so regional teams only see what they’re cleared for.
We host monthly insight reviews where marketing, product and finance leaders co-own next steps. Analysts spend time exploring ideas—not wrangling CSVs—because the pipeline handles the grunt work.
I design and maintain data stacks that keep marketing, product and finance aligned on organic performance.
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