News Monitoring Workflow

Outbound

Prospecting

Automation

Intent

Companies announce their own buying moments in public. This workflow catches them the same day and puts each one in front of the right rep.

Ready to implement this workflow?

Ready to implement this workflow?

Ready to implement this workflow?

Book a workflow consultation and see how automation transforms your GTM engine.

Book a call with our team to discuss how this workflow fits your sales process and timeline.

Book a workflow consultation and see how automation transforms your GTM engine.

What a news monitoring workflow watches, and what happens when something lands

Funding rounds, office moves and senior hires are all announced in public, and most teams read them months late. Here are the eleven steps that close that gap.

Companies announce their own buying moments in public through news articles or other types of online mentions. Things like funding rounds, office moves, senior hires, and product launches all get published somewhere, and each one means a company's priorities moved this week.

The problem here is timing and not access. Most teams or sales reps find out weeks or months later, usually from a list they bought, by which point the moment has passed, and the reason to call has gone with it.

What closes that gap is owning a workflow that automatically watches the sources directly and acting the same day.

The workflow reads each story, checks the company against the profile you sell to, finds the right people to talk to at the company, and routes the strongest matches to your rep while everything else gets a lighter touch.

Step 01: Agree what to watch and what counts as a signal

We write your ICP down properly with your team: size, industry, region, the signals that matter and the disqualifiers that rule a company out. Then we list the sources, subreddit by subreddit, and write the vocabulary that separates a buying moment from industry chatter. Nothing is automated until this exists on paper.

Step 02: Build the tables everything else will run on

The foundation gets built before any watching starts. One table holds every company with its score, its lane and its link to your CRM. Another holds contacts. Enrichment is set up to cascade across sources rather than fail on the first miss, and a dedupe key stops one company becoming two leads.

Step 03: Watch every source, around the clock

Every source on the list is checked on a schedule, around the clock. Subreddits, mainstream news, regional outlets, the trade press and public filings all feed the same place. Anything already seen is remembered, so nothing is processed twice, and a source that stops returning results raises an alert before anyone has to notice it went dark.

Step 04: Catch only the posts that read as a buying moment

Every new item is tested against the rules from step one. The obvious noise is dropped first, before any expensive work runs. What survives is scored on how many trigger terms it hits and how closely they sit together, and only items above the threshold travel further. Everything rejected is kept, so the rules can be tuned against real misses.

Step 05: Name the company behind the post

A post is not a lead until it has a company attached. The item is read and the company being written about is pulled out, along with the specific detail that made it worth catching, so the outreach can point at something real. Anything genuinely ambiguous gets flagged for a human decision.

Step 06: Check the company against the profile you sell to

Being in the news does not make a company worth your time. It is enriched with size, industry, region and funding, checked for the stack signals that matter to you, and scored against the profile from step one. Below threshold stops here and is logged, so you can see what you are turning down.

Step 07: Find the people who matter at the company

Only companies that cleared the check get contact work spent on them. We identify the roles that matter for this workflow instead of grabbing any reachable contact, and every address is verified before it goes near a sequence. Catch-all domains get handled on their own path so nothing is sent to them blind.

Step 08: Create the record and sort it into a lane

The record is created before any outreach starts, so nobody is contacted twice by two different people, with the score, trigger and source stamped on it. Existing customers and open opportunities drop out here. The score then decides which of the three lanes the company goes into.

Step 09: Tier 1: hand your best matches straight to a rep

Your best matches are never automated. Your rep gets an alert with the story, the company and the people already attached, linked to the record so nothing has to be looked up. They write it themselves, and anything left sitting past the agreed window escalates instead of going stale in a channel.

Step 10: Tier 2: run LinkedIn and email on one clock

Strong matches get a real sequence on two channels at once, on one clock, both pointing at the story that triggered them. A reply on either channel stops both immediately, so nobody keeps getting messaged after they have answered.

Step 11: Tier 3: email only, for everything else that fits

Everything else that still fits gets a lighter touch: email alone, off the same trigger, on a shorter sequence. Sending is throttled so this lane never competes with tier two for your sender reputation. Replies land in the same inbox and against the same record as every other lane.

The stack behind it

Something to watch the sources, something to read them, and somewhere to put the result.

n8n does the watching, Clay and the models do the reading, and your CRM receives the outcome. Every account it runs in stays yours.

n8n logo, a fair-code workflow automation platform that connects apps, runs AI agents, and orchestrates

n8n

Automation

Clay logo, a go-to-market data platform that enriches and researches leads in a spreadsheet workflow

Clay

Enrichment

Claude logo, Anthropic's LLM family used across GTM for research, classification, and drafting

Claude

AI

HubSpot logo, a connected CRM platform unifying sales, marketing, and service on one customer record

HubSpot

CRM

Instantly logo, a cold email sending platform with inbox rotation, warmup, and a built-in lead database

Instantly

Sending

Apollo logo, an all-in-one B2B platform pairing a 210M-contact database with prospecting and outreach

Apollo

Data

ChatGPT logo, OpenAI's AI assistant that GTM teams use to research accounts, classify leads, and draft copy

ChatGPT

AI

LeadsFactory logo, a contact discovery tool that scrapes LinkedIn Sales Navigator in real time

LeadsFactory

Scraping

Slack logo, team messaging built on channels, apps and webhooks, the alert layer of a GTM stack

Slack

Notify

HeyReach logo, a LinkedIn outreach platform that runs automated sequences across many sender accounts

HeyReach

LinkedIn

Ready to implement this workflow?

Ready to implement this workflow?

Ready to implement this workflow?

Book a workflow consultation and see how automation transforms your GTM engine.

Book a call with our team to discuss how this workflow fits your sales process and timeline.

Book a workflow consultation and see how automation transforms your GTM engine.

What teams want to know first

Mostly about noise, timing, and whether the accounts stay theirs

Which sources do you actually watch?

We start from wherever your buyers spend their time: subreddits where your market complains in public, mainstream news for funding and hiring, regional outlets for moves and expansions, the trade press for what the sector cares about this quarter, and public filings for changes a company has put on the record itself. Most of those sources publish RSS feeds, and that is what the system reads under the hood, so nothing depends on someone remembering to check a site. The list is agreed with you in the first session and it never freezes. Sources that produce replies stay, and sources that never do get cut.

How is this different from buying an intent list?

A bought list tells you a company looked at something, some time recently, according to a vendor. This workflow tells you exactly what happened, on what date, in a public source you can link to. That difference shows up in the first line of your email: your rep opens with the second floor the company just took on King Street, and a line like that gets replies because the reader can tell it was written this week.

What stops it from spamming everyone it finds?

Three filters sit between a post and an email. The keyword rules drop most of what the sources publish before it ever becomes a lead, the fit check stops anything outside your profile, and the sorting step hands your best matches to a human instead of a sequence. We built it that way because a workflow like this earns its keep on reply quality, and reply quality dies the moment volume becomes the goal.

Do we have to use Clay?

Clay is what we build on, because the workflow needs one place to hold companies, contacts, scores and enrichment together. If you already run it, we build in your workspace. If you do not, it is the one tool we would ask you to add, and the account is yours. Everything else fits around the stack you already have.

How long before it is running?

The first session and the Clay foundation usually take a week or two, depending on how settled your ICP already is. Watching and matching can be live shortly after. The part that takes longer is tuning: the first few weeks are spent learning which sources and which words produce replies, and cutting the ones that never do.

How many leads does this produce?

You will see fewer leads than a bought list gives you, and better ones. The volume depends entirely on how often your market shows up in the news: a busy sector might surface a handful of real buying moments a day, a narrow one a few per week. What changes is the reply rate, because every message points at a dated public event instead of a guess.

Which sources do you actually watch?

We start from wherever your buyers spend their time: subreddits where your market complains in public, mainstream news for funding and hiring, regional outlets for moves and expansions, the trade press for what the sector cares about this quarter, and public filings for changes a company has put on the record itself. Most of those sources publish RSS feeds, and that is what the system reads under the hood, so nothing depends on someone remembering to check a site. The list is agreed with you in the first session and it never freezes. Sources that produce replies stay, and sources that never do get cut.

How is this different from buying an intent list?

A bought list tells you a company looked at something, some time recently, according to a vendor. This workflow tells you exactly what happened, on what date, in a public source you can link to. That difference shows up in the first line of your email: your rep opens with the second floor the company just took on King Street, and a line like that gets replies because the reader can tell it was written this week.

What stops it from spamming everyone it finds?

Three filters sit between a post and an email. The keyword rules drop most of what the sources publish before it ever becomes a lead, the fit check stops anything outside your profile, and the sorting step hands your best matches to a human instead of a sequence. We built it that way because a workflow like this earns its keep on reply quality, and reply quality dies the moment volume becomes the goal.

Do we have to use Clay?

Clay is what we build on, because the workflow needs one place to hold companies, contacts, scores and enrichment together. If you already run it, we build in your workspace. If you do not, it is the one tool we would ask you to add, and the account is yours. Everything else fits around the stack you already have.

How long before it is running?

The first session and the Clay foundation usually take a week or two, depending on how settled your ICP already is. Watching and matching can be live shortly after. The part that takes longer is tuning: the first few weeks are spent learning which sources and which words produce replies, and cutting the ones that never do.

How many leads does this produce?

You will see fewer leads than a bought list gives you, and better ones. The volume depends entirely on how often your market shows up in the news: a busy sector might surface a handful of real buying moments a day, a narrow one a few per week. What changes is the reply rate, because every message points at a dated public event instead of a guess.

© 2026 Nebor. All rights reserved.

© 2026 Nebor. All rights reserved.

© 2026 Nebor. All rights reserved.

© 2026 Nebor. All rights reserved.