MARKET RESEARCH

Alert the team in Slack when a rival earnings call mentions pricing changes

Scans a freshly posted competitor transcript for pricing, discounting, or monetization language and, if found, posts a focused alert with quotes to a Slack channel within minutes…

CategoryMarket Research
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires after competitor call
  • ActionScrape transcript textFirecrawl
  • ActionClassify for pricing or monetization signalOpenAI
  • LogicBranch: only continue if pricing signal found
  • OutputPost pricing alert with quotes to SlackSlack

What it does

Watches competitor earnings transcripts for one specific thing: signals that a rival is changing how it charges. When pricing, packaging, discounting, or monetization language appears, it fires a Slack alert with the exact quotes so pricing and GTM teams can react fast.

When to use it

Use it when pricing is your battleground and you need a same-day heads-up — not a quarterly digest. Ideal for product-marketing and revenue teams who only care about monetization moves and want zero noise from everything else.

How it works

  1. 1A schedule triggers shortly after a tracked competitor's call.
  2. 2Firecrawl pulls the transcript text.
  3. 3OpenAI classifies whether the call contains a pricing or monetization signal and, if so, returns the relevant quotes plus a one-line read.
  4. 4A branch checks the classification: if no pricing signal, the run ends silently.
  5. 5If a signal exists, a formatted alert with quotes and interpretation is posted to the pricing Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FirecrawlCrawl, scrape, structured extract.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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