Make product estimate reviews a routine
A scheduled estimate review can keep product decisions moving without waiting for a founder to remember a manual lookup.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Retrieve sales estimates data
Fetches sales estimates data for specified parameters.
Why this helps
Repeated estimates can slip when each check depends on someone reopening the product research task from scratch.
- Give active product evaluations a regular estimate check.
- Reduce reminders and repeated research setup.
- Keep sales estimate follow-up from competing with every new request.
Setup
Build it in a few focused steps.
- 1Connect Slack and Junglescout to Notis once in the portal if Slack tracks the products under evaluation.
- 2Create an automation in the portal or ask Notis in plain language.
- 3Describe the outcome: each week, retrieve Junglescout sales estimates for the products currently under evaluation in our Slack research context.
- 4Select a recurring schedule trigger and choose a channel for run reports.
- 5Test one run with a real product and usable estimate parameters.
Questions about this workflow
What product list should this use?
Keep the products and relevant parameters clear in the Slack research context the prompt references.
Is this a live sales feed?
No. The action fetches sales estimate data when the workflow runs.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Slack to Junglescout. A trigger fires from one place; an action lands in another.
Slack triggers
Junglescout actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Retrieve historical search volume data for a keyword
Fetches the historical search volume data for a specified keyword over a given time period.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Query the product database
Queries the jungle scout product database to retrieve product data based on various filters. compatible parameters include marketplace, sort, page size, product tiers, seller types, categories, exclude top brands, exclude unavailable products, min price, max price, min net, max net, min rank, max rank, min sales, max sales, min revenue, max revenue, min reviews, max reviews, min rating, max rating, min weight, max weight, min sellers, max sellers, min lqs, max lqs, min updated at, and max updated at.
New Channel Created Trigger
Triggered when a new channel is created in Slack.
Retrieve data for a specific keyword query
Returns data based on a specific keyword query, including search volume and competition.
Channel Message Received
Triggered when a message is posted in a Slack channel (public, private, or multi-party IM). Does NOT match direct messages.
Retrieve keyword data for specified asins
Returns keywords for which the queried asin(s) appear in amazon search results. for a given keyword, jungle scout collects up to 3 pages of amazon keyword search results. query up to 10 asins at a time. apply filters to narrow search results.
Direct Message Received
Triggered when a new direct message (DM) is sent to a user in Slack. Catches all DMs across all DM channels.
Retrieve sales estimates data
Fetches sales estimates data for specified parameters.
Message Reaction Added
Triggered when a reaction is added to a message in Slack. Supports optional filtering by channel and emoji name.
Retrieve share of voice data
Fetches share of voice data for specified keywords.
Message Reaction Removed
Triggered when a reaction is removed from a message in Slack. Supports optional filtering by channel and emoji name.
Reaction Added Trigger
DEPRECATED: use `SLACK_MESSAGE_REACTION_ADDED` instead. Triggered when a reaction is added to a message in Slack.
Connect any two apps with Notis in the middle.
Slack and Junglescout, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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