Brand Pulse & Pipeline Tracker
Runs a sales and marketing intelligence sweep each business morning. The agent fans out parallel searches across web news, X, Reddit, and LinkedIn for mentions of Acme and its top three competitors, pulls a fresh pipeline snapshot from HubSpot, classifies each signal by sentiment and threat level, and deduplicates against everything seen in the last 14 days. It then composes a punchy executive digest — top signals, competitor moves, sentiment shifts, stalled deals, and recommended actions — and emails it to the designated recipient. All findings persist in the agent database, so each run only surfaces net-new intelligence and the consultant can trace any signal back to its source URL.
Agent snapshot
Built for sales marketing work, not a generic template.
10
template uses
90
catalog views
3
integrations used
2
labels matched
Sample input
Build an agent to brand Pulse & Pipeline Tracker. Use HubSpot, Google Sheets, and Slack. Focus on watch things. Return a ready-to-review result after each run.
Sample output
Every weekday morning, sweeps news, X, Reddit, and LinkedIn for brand and competitor mentions, pulls a HubSpot pipeline snapshot, scores signals, and emails a ranked executive digest.
Workflow brief
Where Brand Pulse & Pipeline Tracker fits in a sales marketing automation system
Brand Pulse & Pipeline Tracker is designed for a specific recurring job: runs a sales and marketing intelligence sweep each business morning. The agent fans out parallel searches across web news, X, Reddit, and LinkedIn for mentions of Acme and its top three competitors, pulls a fresh pipeline snapshot from HubSpot, classifies each signal by sentiment and threat level, and deduplicates against everything seen in the last 14 days. It then composes a punchy executive digest — top signals, competitor moves, sentiment shifts, stalled deals, and recommended actions — and emails it to the designated recipient. All findings persist in the agent database, so each run only surfaces net-new intelligence and the consultant can trace any signal back to its source URL. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.
A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.
In this setup Twin uses HubSpot, Google Sheets, and Slack as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.
What this agent automates
This run includes 8 concrete steps from the published agent data.
Fetch the current date with the Get Current Time tool and load the last 100 signals, last 3 run logs, and most recent pipeline snapshot from the agent database
Run all source-category searches in parallel: web news, X, Reddit, LinkedIn, and competitor newsroom pages — never chain sequentially, never retry a failed source in the same run
Pull pipeline data from the connected CRM, filtering to active stages and excluding archived or standby pipelines, and compute deltas vs. the prior snapshot
Use Twin AI to classify each candidate signal by sentiment, category, media value, and threat level, and deduplicate against URLs already in the signals table
Synthesize the top 5–10 ranked signals plus a 2–3 sentence executive summary and a pipeline alerts section listing stalled or slipping deals
Compose the HTML email digest with source links, sentiment badges, and a footer listing which source categories were available and which were skipped
Integrations used
Brand Pulse & Pipeline Tracker connects HubSpot, Google Sheets, and Slack.
HubSpot
Connected in this agent
Google Sheets
Connected in this agent
Slack
Connected in this agent
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Plans start at €20/mo