MARKET RESEARCH

Discover Adjacent Segments from BigQuery and Rank Expansion Bets

On a schedule, scans BigQuery public industry data for fast-growing NAICS sectors adjacent to your core segments, scores them as expansion bets.

CategoryMarket Research
Enginesim
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly discovery schedule fires
  • ActionCompute multi-year sector growth rates in BigQueryGoogle BigQueryBigQuery
  • LogicFilter to adjacent, high-growth, untargeted sectors
  • ActionScore and rank candidates as expansion bets via OpenAIOpenAI
  • OutputEmail ranked expansion shortlist via GmailGmailGmail

What it does

Surfaces where to grow next. It scans BigQuery public industry datasets for sectors adjacent to your current segments that show high establishment growth or favorable size distribution, scores each as a potential expansion bet against your fit criteria, and emails leadership a ranked shortlist of the most promising adjacent markets.

When to use it

When you want a steady pipeline of expansion ideas grounded in real industry growth data, rather than waiting for a planning offsite. Run it monthly to keep an evergreen shortlist of where the addressable market is opening up.

How it works

  1. 1A scheduled trigger fires on your cadence (e.g. monthly).
  2. 2A BigQuery action queries multi-year County Business Patterns data to compute growth rates by NAICS sector.
  3. 3A logic step filters to sectors adjacent to your core segments and above a growth floor, excluding ones you already target.
  4. 4An OpenAI action scores each candidate on growth, fit, and accessibility, then ranks them with a short rationale.
  5. 5An output step emails the ranked expansion shortlist to your distribution list via Gmail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect OpenAIModels, embeddings, files.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.