Avian.io

Start your week by turning every marketing channel into a reliable data feed. In Avian.io, pick your sources—Google Ads, Meta, LinkedIn, TikTok, GA4, your email platform, and the CRM—and authorize once. Choose where the data should land: a Google Sheets tab for quick analysis, a Looker Studio model for live dashboards, or a cloud warehouse like BigQuery, Snowflake, or Redshift for deeper work. Define exactly what you need by selecting metrics and dimensions, setting filters, and picking a refresh cadence (hourly, daily, or custom). Use the preview to check column headers and sample rows, standardize field names, then publish the pipeline without writing code.

Reporting becomes an assembly line instead of a scramble. Spin up a performance sheet that rolls up spend, clicks, conversions, CPA, and ROAS across networks, with breakdowns by campaign, creative, region, or audience. Keep raw data in one tab and auto-build pivoted summaries in another so stakeholders get a clean view while you keep the detail. In Looker Studio, start from a template, map your Avian dataset, and push live scorecards for pacing and goals. Set alerts to catch problems early—if daily spend surges past budget, if CPA jumps, or if tracking drops—then route notifications to Slack or email with links back to the source.

Clean data is built in, not bolted on. Create rules to validate datatypes, enforce required fields, and quarantine outliers. Match and merge entities across platforms using email, GCLID, customer ID, or order number to tie ad cost to pipeline and revenue. Normalize UTMs and campaign naming with lookup tables, and maintain a master list of channels, products, and regions for consistent reporting. Backfill historical periods in bulk, then switch to incremental loads with watermarks so you move only what changed. Every job is logged with run history, row counts, and transformation versions, making audits and rollbacks straightforward.

Teams stay focused on outcomes. Marketers monitor pacing and test results without exporting CSVs. Analysts model cohorts and LTV in the warehouse using the same curated tables. RevOps reconciles leads, opportunities, and deals with ad spend to see true CAC. Content teams track newsletter growth and site engagement next to paid traffic. Admins manage access with roles and SSO, mask sensitive fields, and rely on encryption in transit and at rest. From first connection to first dashboard typically takes under 15 minutes—after that, Avian keeps the numbers fresh while you plan, optimize, and ship campaigns.