Punch!'s Agentic Systems In Action

The first wave of AI SDR tools automated the one part of outreach that was already failing: volume. Buyers learned to ignore them, and most teams switched them off within a year.

Punch! built Agentic GTM around timing. The system spots when an account is in-market, picks the channels that buyer is most likely to notice, and acts while the signal is still live. When a real conversation becomes possible, a human picks up the phone. It's one part of Punch!'s Pipeline Generation proposition, where HotSauce, Agentic GTM and Human SDR run as one connected system.

What problem does an agentic outbound system solve?

Most outbound fails because it runs on volume and generic data, with no sense of timing. Agentic GTM triggers outreach from unique-to-you (U2U) buying signals built for each client's market, so every touchpoint has a real reason behind it.

The market shift is measurable. Average cold email reply rates now sit below 1%. Seventy-three percent of buyers say they actively avoid vendors who send irrelevant outreach. The first wave of AI SDR tools made both problems worse by sending the same generic messages faster and cheaper than any human team could, and UserGems puts annual churn on those tools at 50 to 70%.

The issue is what the AI is optimising for. A tool that automates one or two channels at high volume, using the same intent data every competitor in the category can buy, adds noise to inboxes that are already full. Agentic GTM starts from a different input: HotSauce, Punch!'s Unique-to-You (U2U) Signal Intelligence platform, which builds buying signals specific to each client's business. Whether data is shared or unique to you decides whether outreach reads as relevant or gets filtered out with everything else.

A single signal isn't enough to earn that distinction anymore, either. A new job title or a funding round used to justify a campaign on its own. Now it works as a baseline filter: it qualifies an account for further enrichment, and the trigger comes later. Punch!'s strategists stack several signals into what the team calls a composite or cluster signal: a tech install followed by a second, related install a set number of days later, a hiring pattern alongside a leadership change, or a look-alike match against an existing case study's firmographics and outcomes. Each one alone is weak. Stacked together, they say something specific that a competitor working from shared intent data can't.

What does Punch!'s system actually do at each stage of outreach?

Agentic GTM runs five specialist agents (SPARK for email, LINK for LinkedIn, PEN for handwritten postcards, REACH for 1:1 ads, and PAGE for personalised microsites), coordinated by an orchestrator called ORBIT. Each agent activates from the same signal, across a different channel, so the buyer sees a consistent, timed message wherever they are.

The sequence runs in five stages:

Signal detection. The system monitors a client's total addressable market continuously. When a U2U signal fires, that becomes the trigger, not a scheduled send date or a quarterly campaign, but a specific, timely event that gives the outreach a genuine reason to exist.

Channel selection. ORBIT decides which combination of channels fits the signal and the account, using a scoring and routing framework: firmographic fit, signal strength, and contact-level data combine into a single lead score. The highest-scoring accounts get the full run, microsite, ads, phone, email, and LinkedIn, while lower-scoring accounts get a lighter, more cost-effective mix. Not every signal calls for every channel; the system picks the combination likely to reach that buyer where they'll notice it, without spending phone and ad budget on an account that isn't worth it yet.

Multi-channel activation. The five agents run in parallel across email, LinkedIn, person-level ads, personalised microsites, and handwritten postcards, all triggered by the same signal and coordinated so the messaging stays consistent across touchpoints.

Value before the ask. Every touchpoint leads with something useful, a benchmark or short analysis the prospect can act on immediately, rather than opening with a meeting request. That value takes one of two forms. An offer works best for lower-cost, more transactional products: a guaranteed outcome in a set timeframe, something that de-risks saying yes. A lead magnet, a blueprint, a framework, a calculator, fits more consultative, higher-touch services better, since it demonstrates expertise rather than promising a result. Either way, the goal is the same: solve a small, specific problem for the prospect before asking for anything, so the next conversation starts from trust instead of a cold ask.

Escalation to human. Once an account's engagement crosses a threshold, the system hands off to Punch!'s human SDR team with full context attached.

How does it decide when to act and when to hand off to a human?

Agentic GTM tracks engagement across all five channels and hands an account to a Human SDR once engagement or signal strength crosses a defined threshold. The handoff includes the original signal, what the account engaged with, and why the timing is right, so the first human conversation already has context behind it.

This is what separates Agentic GTM from a pure automation tool. The agents run the top of the funnel at scale, and the system watches for the moment an account stops behaving like a cold prospect and starts behaving like someone ready to talk. When that happens, a Punch! SDR picks up the phone already holding the account's signal history: what triggered the outreach and how the account responded on each channel. That history tells the SDR whether now is a good time to call.

Keeping a human in that loop is a deliberate choice. It's why Punch! calls itself a Human-Agentic GTM Partner, and the thinking behind the line Agentic by Nature. Human by Choice. Removing the human from message strategy is technically possible today, but language models can produce copy that's accurate and still reads as generic. They miss the judgment call on what a signal implies about a business and what's worth saying about it. That judgment stays with a Punch! strategist, who decides what a composite signal means and turns it into a message worth answering. The agents handle execution at scale. The strategy behind each campaign stays human, which is why Human SDRs still win in regional markets, however good the agents get.

Accounts that engage but aren't ready yet don't get dropped. They move into Relationship Revenue, the framework within Punch!'s Human SDR service for high-fit accounts sitting in "not right now." HotSauce keeps watching them, and when a new U2U signal fires, Agentic GTM re-engages with fresh context. Structured, low-frequency human touchpoints keep the relationship warm in between. This is often where the system's value compounds: accounts in that bucket stay in the pipeline and tend to convert once a new signal fires.

Omnichannel outreach lifts results by 287% compared with single-channel campaigns. The human handoff is what turns that engagement into a sales conversation.

What results have teams seen from switching to this model?

Teams running Punch!'s signal-triggered, multi-channel model report higher MQL (Marketing Qualified Lead) to SQL (Sales Qualified Lead) conversion, more efficient AE (Account Executive) time, and pipeline that compounds as previously "not ready" accounts get re-engaged. Across Punch!'s client base, the approach has generated $1bn+ in pipeline at an average 12x ROI.

The Ephesus Sports Lighting case study shows what that looks like in practice. Ephesus, a stadium and arena lighting manufacturer, came to Punch! facing long sales cycles and stakeholders who were hard to reach: athletics directors and facilities decision-makers who don't respond to generic outbound. Punch! focused on the accounts showing real buying activity, using funding announcements, leadership changes, facility expansions and relevant content engagement to decide who to approach and when. That signal-led approach is the foundation HotSauce now builds on, with signals created specifically for each client's market.

The result was $41M+ in qualified pipeline over 12 months, a 75% increase in average deal size and 183 new relationships with target accounts, including stakeholders Ephesus's previous outbound had never reached. Agentic GTM is built to produce that shift at scale: fewer, better-targeted conversations that close larger, handled by an AE team whose meetings already carry context. That starts earlier, with how to build an outbound motion that scales with your business, the groundwork this whole system sits on.