MARKETING

Monthly Channel-Mix CAC Report to Sheet and Email

On the first of each month, aggregates the prior month's spend and new customers per channel from BigQuery, computes blended and per-channel CAC trends.

CategoryMarketing
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFirst-of-month schedule fires
  • ActionAggregate prior-month spend and customers per channelGoogle BigQueryBigQuery
  • LogicCompute CAC and month-over-month deltas
  • ActionAppend dated snapshot to Airtable historyAirtableAirtable
  • OutputEmail leadership summaryGmailGmail

What it does

This workflow produces the monthly acquisition-efficiency report leadership expects. It rolls up the prior calendar month of spend and new customers per channel from BigQuery, computes blended CAC plus each channel's CAC and its month-over-month change, appends a dated row to an Airtable history base for trend tracking, and sends a clean summary email to stakeholders.

When to use it

Use it when finance and leadership need a recurring, archived view of acquisition cost by channel rather than ad-hoc pulls. Complements the weekly tactical workflows by maintaining the long-run record.

How it works

A monthly schedule fires on the first. The workflow queries BigQuery for the full prior-month spend and new customers per channel. A logic step computes blended and per-channel CAC and the delta against the previous month it reads back from Airtable. It appends a new dated snapshot row to the Airtable history base, then formats and sends a leadership email summarizing total spend, blended CAC, biggest movers, and the trend direction.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect GmailRead, draft, send, label.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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