Picture a dog trained to find one specific scent in a field full of thousands of smells, a dog trained on your scent. It knows exactly what it’s looking for. And when it finds it, it stops and points.
That’s HotSauce.
Sales signals from generic providers like ZoomInfo are basically like a dog picking up scents but not knowing which specific one it’s looking for. How does it choose which scent to go after? By the time you act on a generic signal, your competitor has often already had the first conversation.
HotSauce is Punch!’s Unique-to-You (U2U) Signal Intelligence platform. It creates specific signals and prioritises them, so you always know which scent to follow first. The signals that matter to your business are unique to your business.
What is a Buying Signal?
A buying signal is a clue. Something a company does, or stops doing, that suggests they might be ready to buy something like what you sell. Maybe they've just hired a new VP of Sales. Maybe they've started advertising for ten engineers in a particular specialism. Maybe a competitor just went under and they need alternatives.
These are signals.
Why are Buying Signals Important?
A signal on its own doesn't tell us much. But start stacking them together, and you're collecting clues that tell you whether a company is actually in the market for your solution.
Take a new VP of Sales hire, after two years of flat headcount in that department. On its own, that's just a hire. Stack it against other signals: the job posting mentioned "building outbound function from scratch," the new VP previously scaled a sales team from 5 to 40 at their last company, and the company raised a Series B four months earlier.
Put together, that tells you something specific. They have fresh capital. A leader who's done this exact build before. And an explicit mandate to grow outbound. This isn't a company browsing tools. It's a company about to make infrastructure decisions in the next 60 to 90 days, the window most new sales leaders give themselves before reporting on their plan.
That's the shift from signal to clue. One hire tells you almost nothing. The hire plus the mandate plus the timing tells you exactly when to show up.
How HotSauce works
HotSauce runs in three stages: scoring your market, building the signals that are unique to your business, and monitoring your TAM continuously so nothing moves without you knowing.
Step 1: Map your market
Before HotSauce can watch anything, it needs to know who you’re watching. So you start by uploading your target account list or building one from scratch. This is your total addressable market (TAM): every company you could realistically sell to.
From there, HotSauce scores every account based on criteria you set. Things like company size, what industry they’re in, where they’re based, what technology they use, and operational factors that tell you they’re a real fit for you. Every account gets a score, and you can see why it scored where it did. Most scoring tools hand you a number with no explanation.
HotSauce shows its working.
Step 2: Build signals that are unique to you
Instead of pulling from a shared pool of generic signals, you build your own. Through HotSauce’s built-in query tool, called the signal agent, the interface where you define and run custom searches across your target market. You tell the platform what you want to watch for. And you can get as specific as you like.
Harry Robinson, our Head of Automations, AI and Modernisation, explains it well:
“You can set up a custom query for almost anything. Is this account expanding into new markets? Are they hiring for specific roles? Has any negative PR been released? The idea is that you get a real reason to reach out, not just a name on a list.”
You find the clues YOU are looking for, nobody running the same underlying data sources can replicate what you’ve built.
Step 3: Watch continuously
Once your signals are live, HotSauce watches your entire target market around the clock. You can see which accounts are heating up and which have gone quiet.
When an account crosses a threshold, it surfaces with context: who at that company triggered the signal, why it matters, and what the right angle of approach might be. Your rep arrives to that call prepared, not guessing.
What HotSauce picks up that other tools miss
A buying signal doesn’t always arrive as one obvious clue. Sometimes it’s a cluster of smaller things that, on their own, mean nothing. It’s the collection of clues that mean a lot.
HotSauce calls this a signal cluster: multiple weaker data points that combine into a meaningful indicator. You’re basically getting alerted when the clues start piling up to mean something.
It also watches for signal volume, where concentration does the work: when ten open roles all point at one very specific skillset, that weight alone is enough to act on.
And when off-the-shelf data sources aren’t granular enough to build the signals you need, Punch! builds proprietary data pipelines for your market specifically: custom infrastructure built for you alone.
What the first 30 days look like
Every HotSauce client is onboarded with a dedicated Customer Success Manager (CSM). The CSM works through the setup with you: configuring signals, establishing fit criteria, and making sure the platform is pointed at the accounts that actually match your Ideal Customer Profile (ICP). You keep full control and can adjust signals at any point.
The first 30 days are a data-gathering period. The focus is on running higher volume across available signal types to see what fires, learn what holds weight, and build the historical data the platform uses to refine its models. When a strong signal returns early results, the team moves on it. Harry describes what the end state looks like:
“The end goal essentially is when the sales team load up the dashboard they have a briefing and it gives them all the latest signals and within the platform itself it gives you the next step: it tells you maybe what the angle of approach could be, why that’s important to that client, and helps lead them on the way of giving them the resources they need to outreach based on that signal.”
Your reps stop starting every day with a blank page. They open a dashboard that tells them what moved overnight, which account to prioritise, and exactly why.
Scoring you can actually interrogate
Search intent tools give you a number and ask you to trust it: a black-box score built on generic criteria, the kind of blunt filters like company size or revenue band that don’t reflect what a real buyer looks like for your business.
HotSauce gives sales leaders full control over their own scoring criteria: specific employee ranges, revenue bands, operational countries, any combination that matches how their market actually buys. Open any account record and the reasoning is visible: which signals fired and how each fit criterion contributed to the final score. Harry explains why that visibility matters:
“The score may be one thing but they may know another. So it’s key to know actually why it was scored that way. So maybe they can adjust it and do some sort of insider knowledge to actually go against the score potentially.”
Where HotSauce fits in the wider system
HotSauce feeds into Punch!’s Pipeline Generation system, a fully managed end-to-end service that runs signal intelligence, AI-led outreach, and human SDR activity as one connected motion. When a U2U signal fires, Punch!’s AI-driven outreach layer, Agentic GTM, activates across email, LinkedIn, personalised microsites, AI-written physical postcards sent to a prospect’s office, and 1:1 person-level ads served to specific named individuals. Human SDRs then convert and nurture the accounts that engage.
HotSauce also works as a standalone product on a 12-month subscription. Teams with existing SDR capability or their own outreach motion can deploy it independently and use U2U signals however they see fit. It integrates directly with Salesforce, HubSpot, and Slack: CRM records update automatically, the owning rep gets notified, and the account gets queued for outreach. HotSauce is currently in beta for Punch! clients.
For a sales team running on a shared intent feed, every rep in your category woke up to the same list this morning. HotSauce is the reason yours didn’t.
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