SALES

Weekly Zoom Objection Trend Roll-Up Across All Discovery Calls

On a weekly schedule, it reads the past week of stored objection extractions from Postgres, aggregates the most common objections and competitor mentions across the team.

CategorySales
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule on Monday morning
  • ActionQuery last week's objection records from PostgresPostgreSQLPostgres
  • LogicAggregate by category and compute week-over-week change
  • ActionWrite trend narrative and coaching focus with OpenAIOpenAI
  • OutputEmail digest to sales leadership via GmailGmailGmail

What it does

This template turns per-call objection data into a team-level signal. Once a week it aggregates every objection captured from discovery calls, ranks the most frequent themes and competitors, flags week-over-week movement, and emails sales leadership a digest they can use in pipeline reviews.

When to use it

Use it when individual call cheat sheets already exist but no one is watching the pattern. If pricing objections spiked or a new competitor keeps surfacing, leadership should see it without manually reading dozens of call notes.

How it works

  1. 1A weekly schedule triggers the flow on Monday morning.
  2. 2The flow queries Postgres for all objection records logged in the prior seven days.
  3. 3A logic step aggregates objections by category, counts competitor mentions, and computes the change versus the previous week.
  4. 4OpenAI writes a concise narrative digest highlighting the biggest shifts and one recommended coaching focus.
  5. 5The digest is emailed to the sales leadership distribution list via Gmail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  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.

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