FINANCE
Weekly Dunning Cadence A/B Tuner
Once a week this workflow analyzes recovery rates of competing retry cadences in BigQuery, picks the winning schedule per customer segment.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionCompute recovery rates per cadence variant in BigQueryBigQuery
- LogicSelect winning cadence per segment by significance threshold
- ActionWrite updated cadence config to warehouse tableBigQuery
- OutputPost cadence-change summary to SlackSlack
What it does
Closes the loop on dunning experimentation. It measures how each retry cadence variant actually recovered failed payments over the trailing weeks, declares a winner per segment, and updates the live cadence configuration so the recovery sequence keeps improving instead of staying static.
When to use it
Run it when you're A/B testing dunning timing (e.g. retry on day 1/3/7 vs day 2/5/10) and want the system to promote winners automatically rather than analysts eyeballing spreadsheets.
How it works
- 1A weekly schedule kicks off the analysis.
- 2A BigQuery query computes recovery rate and median days-to-recover for each cadence variant, split by plan segment.
- 3Logic applies a significance threshold and picks the winning cadence per segment, holding steady when results are inconclusive.
- 4The chosen cadence config is written back to the warehouse config table that the dunning workflow reads.
- 5A summary of what changed and why posts to Slack for finance visibility.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.