SOCIAL MEDIA
Daily brand-sentiment digest to Slack
Each morning it summarizes the last 24 hours of brand mentions into a single Slack post: net sentiment, volume trend, top positive and negative themes, and the most-shared posts.
How it runs
The automated pipeline, trigger to output.
- TriggerEach morning (schedule)
- ActionCollect last 24h of mentionsApify
- ActionScore sentiment and cluster themesOpenAI
- LogicCompute day-over-day deltas
- OutputPost formatted digestSlack
What it does
Once a day it pulls everything said about your brand over the previous 24 hours, scores sentiment, clusters the chatter into themes, and posts a clean digest to Slack. It surfaces the net mood, whether volume is up or down versus the prior day, and the handful of posts actually worth reading.
When to use it
Use it as the calm, scheduled counterpart to real-time paging. It's for the comms or social team that wants a reliable morning read on brand health without drowning in raw mentions or getting woken up for every grumpy customer.
How it works
- 1A scheduled trigger fires each morning.
- 2Apify collects the last 24 hours of mentions across your tracked platforms.
- 3OpenAI scores sentiment, clusters mentions into themes, and picks representative quotes.
- 4A logic step computes the day-over-day volume and sentiment deltas.
- 5Slack receives a formatted digest with net sentiment, trend arrows, top themes, and links to the most-shared posts.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, 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.