AI SDRs are here.

Autonomous pipelines.

Fully automated outbound.

Then Apollo surveyed over 1,600 GTM leaders and asked them directly.

Would AI replace their teams?

94% said no.

Only 6% think AI is actually coming for their jobs.

So I figured I'd just write about it.

Because that number should be getting more attention than it is.

1. The hype hasn't matched what operators actually believe.

The AI SDR pitch has been loud.

Really loud.

Board decks. LinkedIn posts. Product launches every other week.

But the people running revenue teams, the ones with quota responsibility and forecast accuracy on the line, aren't buying it.

They've seen the demos.

They've tested the tools.

They've landed on the same conclusion most operators land on eventually.

AI is infrastructure, not headcount.

2. This is the split I've been building around since we started Advanced Client.

Roughly 90% of the GTM workflow should be automated.

TAM builds. Enrichment. Signal scoring. Campaign logic. CRM hygiene. Routing. Logging.

All of it.

That work is repetitive, data-heavy, and error-prone when humans do it manually.

AI handles it better and faster.

It frees up hours every single week.

3. The 10% that stays human is why any of it converts.

The phone call where a rep reads hesitation in someone's voice and adjusts.

The follow-up that references something specific from a previous conversation.

The moment trust gets built because a real person showed up with context and actually listened.

No sequence does that.

No AI agent does that.

The reason those calls close deals is precisely because there's a human on the other end doing something a machine can't.

4. The 6% who think AI will replace reps are usually the ones selling AI SDRs.

Look at who's loudest on this.

Vendors with a product to sell.

Investors with a portfolio company to defend.

The 94% is the honest number. It's the people paying the salaries, running the pipeline reviews, and answering to the board when the quarter misses.

They know what actually closes deals.

5. What Apollo's data confirms is that this isn't a fringe position anymore.

It's the majority view among the people who actually run GTM.

The companies that win from here will be the ones who automate the backend ruthlessly.

And protect the human conversation like it's their most valuable asset.

Because it is.

The rep isn't the cost centre.

The rep is the reason the £100k deal closes instead of stalling in stage three.

I share this because the AI vs humans debate in sales has become weirdly polarised, and the data is clearer than the noise around it.

Automate the admin. Keep the humans on the phone. Watch the numbers move.

Tom

You open Apollo or Clay. You pick the obvious industry, set a headcount range and guess five job titles. Then you export a thousand contacts and stop there, because every credit costs money.

The trouble is that everyone selling into that market runs the exact same search. Same filters, same titles, same list. Your prospects are getting ten versions of your email every week.

So in my latest video I went the other way. Go wide first, then let AI do the narrowing.

I picked recruitment agencies as the test market and ran the whole thing from Claude Code.

Claude searched 400+ industry tags and surfaced categories I'd never have thought to click on, like HR services, executive search and temp help. Firms that do recruitment but tag themselves as something else. That took the market to 448,569 companies.

Then it pulled every decision maker at C-level, VP and director, instead of me guessing titles. The right person at a 10 person agency is rarely the same as at a 50 person one, and you can't know that up front. 85,965 contacts, which Claude then filtered down to the genuine ICP fits.

From there it built three segmented campaigns in Instantly, verified the leads and wrote and loaded the copy.

An empty terminal to launch-ready campaigns, and I never touched a spreadsheet.

Watch the full build here →

All the prompts are in a free Notion doc linked in the description, so you can swap in your own ICP and run the same thing this week.

Tom

I built an entire outbound campaign from scratch without opening a single spreadsheet or clicking a single filter. Everything ran through Claude Code with plain English prompts.

The test market was recruitment agencies with 5 to 50 staff across the UK, US and Western Europe.

Here's what happened on screen.

Mapping the market. Claude went through 400+ industry tags in the database and found every adjacent category where recruitment firms hide. HR services, executive search, temp help. 448,569 companies mapped in under four minutes.

Pulling the people. Rather than guessing job titles up front, it pulled every C-level, VP and director at those companies. 85,965 decision makers in about a minute and a half. Then it told me which ones fit the ICP and which ones didn't.

Building the campaigns. It split the list into three segments, verified the leads, set up three campaigns in Instantly, wrote the sequences and loaded the copy.

All that was left for me was assigning sender accounts and hitting launch.

Watch the full build here →

Every prompt I used is in a Notion doc linked in the video description. No email gate. Swap in your own ICP and run it yourself.

Tom

We don't have brand.

We don't have experience.

We don't have the credentials.

The buyer will ignore us.

Then I remember Tom Grogan and Herman Sahota.

So I figured I'd just write about it.

Because their story is the single best argument I can give you for picking up the phone or hitting send today.

1. In 2017, they had an ambitious goal.

Bring Wingstop to the UK.

That was it. That was the plan.

They had no restaurant experience.

They'd never franchised anything before.

They had no track record in the food industry at all.

What they did have was absolute conviction.

2. They did what any bold founder would do.

They found the simplest, highest-impact move available to them.

A cold email.

To the head of franchising at Wingstop.

That's it. Not a warm intro. Not a mutual connection. Not a paid consultant with a rolodex.

One email to one decision-maker.

3. Here's what that email became.

It started a conversation.

The conversation opened a door.

The door led to a UK franchise opportunity with one of America's fastest-growing restaurant chains.

Then:

Launched their first location in London.

Expanded to 57 stores across the UK.

Hired and developed 2,500+ people.

Generated £150M+ in annual revenue.

Sold the entire operation for $400 million at the end of 2024.

All from one cold email.

4. The lesson isn't "send more cold emails".

The lesson is: the barrier between you and your next big customer is almost always smaller than you think.

It's not a brand problem.

It's not a credentials problem.

It's not a timing problem.

It's a "did you actually send the email" problem.

Most founders don't lose the deal.

They never start the conversation.

5. What made their email work was the shape of it.

The right person. Not a generic careers inbox. The actual decision-maker who could say yes.

A message that was relevant. Not a template. Something the recipient could see themselves in.

A specific ask. Not "let's connect". A clear reason to reply.

That's the whole playbook. Right person. Relevant message. Clear ask.

Everything else in outbound is just scale on top of those three things.

6. Don't wait for the perfect moment or the perfect credentials.

They won't arrive.

Find the right person.

Craft a message that's actually relevant and helpful.

Hit send.

You could be one email or one call away from your big break, or your next customer.

I share this because the highest-leverage 30 minutes most founders can spend this week is writing three cold emails to the three people who could change their business.

Not building a sequence. Not tuning a signal layer. Not hiring an SDR.

Three emails. Three of the right people. Sent today.

Tom

More tools. More signals. More dashboards.

And most teams still can't answer the basic question: "who should we call today and why?"

So I figured I'd just write about it.

If I were a founder or a C-suite exec at a B2B SaaS company right now, this is the workflow I'd send my sales team.

It goes beyond blasting an email list.

Here's what it tracks and how it fits together.

1. Track five things, not one.

Off-site buyer intent.

On-site lead identification.

Social signals and content engagement.

Hiring, funding, leadership, and competitor signals.

Real-time job change tracking on the buying committee.

If you're only tracking one of these, you're missing the other four buying windows.

2. Source it with the right tool for each layer.

Off-site buyer intent: Vector.

On-site lead identification: RB2B.

Social signals and content engagement: Trigify.

Hiring, funding, leadership, and competitor signals: BirdDog.

TAM mapping and account scoring: Clay.

Each tool does one job well.

The magic isn't the tools. It's what happens when they all push into the same place.

3. Clay in the middle.

Every one of those platforms integrates with Clay via webhook.

The moment a signal fires anywhere in the stack, Clay knows.

Inside Clay we run the qualification layer:

Firmographic scoring on every account.

Filters to verify qualification against ICP.

Job change tracking cross-checked against the CRM weekly, so reps don't dial people who left six months ago.

Speed-to-lead routing in under 60 seconds from form fill to rep Slack alert.

Best-lead-to-best-rep tiering, so your senior rep gets the £200k lead, not round-robin.

4. Prospeo for the contact data.

Verified business emails.

Catch-all detection so you don't torch your sending domain.

Mobile numbers for senior buyers.

Email verification before anything hits a domain.

Deliverability starts with clean data. Prospeo is where clean data comes from.

5. Push qualified leads into the right channel.

Top-score accounts get phone-led outreach. Trellus for parallel dialling and auto-CRM logging.

Mid-tier goes into email campaigns through Instantly.

LinkedIn engagement and auto-connect handled through HeyReach.

The channel matches the tier of the lead. Not everything gets a phone call. Not everything gets an email blast.

6. From here you're booking meetings.

If you're not, one of the layers above is broken. Diagnose upstream, not the copy.

If you are, move into the sales process:

Calendly to schedule meetings, with its pre-call flow builder handling confirmations and reminders by email and SMS.

Attio, HubSpot, or Salesforce as the system of record. Clay pushes updates at every stage.

BirdDog keeps surfacing fresh buying signals on every open opportunity throughout the cycle. Reps know exactly when to follow up.

7. Close the loop after a deal closes.

Build a lookalike audience in Clay around that account.

Push the lookalikes back into the BirdDog signal layer.

Run a targeted campaign the moment they trigger.

Your best customers just told you exactly what your next 100 customers look like. Use it.

I share this because most teams have three or four of these tools already.

They just haven't wired them together.

Every layer sits in its own dashboard, none of them talk, and the reps end up doing manually what the stack should be doing in the background.

Wire them into Clay. Push qualified leads into the right channel. Let the system feed the reps and let the reps do the closing.

Tom

Every single time, it destroyed results.

The pattern is always the same.

A founder gets excited about automation. Rips out the human layer. Replaces reps with sequences and AI agents that "do everything".

Works for a week.

Then results drop off a cliff.

Especially for high-ACV, complex offers.

So I figured I'd just write about it.

1. Automation can enrich, score, sequence, and send at scale.

It can watch a whole TAM 24/7.

It can log every call automatically.

It can build a list overnight while your team sleeps.

It cannot read a room.

It cannot hear hesitation on a call and know when to shut up.

It cannot look at a deal and feel that something is off before the data says so.

And it definitely cannot pick up the phone.

2. Cold calls are still the single highest-converting outbound channel we run.

Nothing else comes close for actually creating pipeline.

No AI agent is doing that.

No automated sequence replaces a rep who can open a conversation with a stranger in 30 seconds and book a meeting before they hang up.

That skill is human. It stays human.

3. I've seen a company burn through their entire TAM in 90 days.

Automated system blasting every signal.

No human deciding which ones were actually worth pursuing.

By the time they realised, the market was torched.

Replies dead.

Domain reputation gone.

Six months to rebuild what should have been permanent pipeline.

4. I'm not saying this as someone who's anti-AI.

I run almost everything through Claude Code.

Data orchestration. Enrichment. Signal tracking. Ad ops. Reporting.

A three-person team managing what should require 15.

But all of that AI sits behind the rep.

Not in front of the prospect.

5. The split most teams get wrong is which part is automated.

They automate the conversation.

They leave the admin manual.

That's the exact opposite of what works.

Automate the list-building, the enrichment, the scoring, the routing, the logging.

Leave the calls, the discovery, the objections, the closes.

Machines behind the rep. Humans in front of the prospect.

I share this because the "AI does everything" pitch is loud right now, and the teams buying it are the ones I'll be un-torching in 12 months.

The 10% you can't automate is the 10% that makes the other 90% worth building.

Tom

The 10% that isn't is the only reason any of it works.

I've spent 3 years watching companies try to remove that 10%. Every single time, it destroyed results.

The pattern is always the same. A founder gets excited about automation, rips out the human layer, and replaces reps with sequences and AI agents that "do everything."

It works for a week or so. Then results drop off fast, especially for high ACV, complex offers.

What the system can't do

The system can enrich, score, sequence, and send at scale. But it can't read a room. It can't hear hesitation on a call and know when to shut up. It can't look at a deal and feel that something is off before the data says so.

And it definitely can't pick up the phone.

Cold calls are still the single highest converting outbound channel we run. Nothing else comes close for actually creating pipeline. No AI agent is doing that. No automated sequence replaces a rep who can open a conversation with a stranger in 30 seconds and book a meeting before they hang up.

How automation torches a market

I've seen a company burn through their entire TAM in 90 days because an automated system was blasting every signal without a human deciding which ones were actually worth pursuing. By the time they realised, the market was torched. Replies dead. Domain reputation gone.

Where AI actually belongs

I'm not saying this as someone who's anti-AI. I run almost everything through Claude Code. Our data orchestration, our enrichment, our signal tracking, our ad ops. A 3 person team managing what should require 15 people.

But all of that AI sits behind the rep. The prospect never talks to it.

The real unlock is having a GTM engineer who knows how to build these flows so your reps never touch list building, account research, CRM updates, or manual deck creation again. All of that gets handled for them. Which means you can run fewer reps who spend all of their time on the only things that actually produce revenue: calling, selling, and closing.

The companies I've watched win over the last 3 years all figured this out. Small teams, a GTM engineer wiring the backend, and real people doing the actual selling. The ones who tried to remove the human entirely are either rebuilding from scratch or they're gone.

AI's job is to make a great rep unstoppable. That's the whole play.

Now they're hiring a human BDR.

They raised $36.5M to build an AI SDR. Ran the loudest "humans are obsolete" campaign the GTM world has ever seen. Claimed $7M ARR. And now they're posting a job listing for the exact role they told everyone was dead.

But Artisan isn't even the wildest example.

11x raised $74M. Benchmark led the seed, a16z led the Series B. Their CEO stepped down. There are accusations of fake customers and investor lawsuits.

That's over $110M in venture funding poured into replacing SDRs between just two companies. And both are either walking it back or falling apart.

Why the thesis attracted so much money

The thesis was half right. SDRs were broken: bloated teams, low efficiency, reps spending 80% of their time on admin and 20% on actual selling. The economics genuinely didn't work, and investors saw a gap.

Replacing the rep was the wrong fix. The real problem was everything eating the rep's time.

The move right now is to collapse the backend

Data orchestration, enrichment, signal scoring, TAM builds, campaign logic. All of that should be running through AI and automations so your team never touches it.

A 3 person team can do the work that used to take 15 when the infrastructure is set up properly. This is already happening at companies that figured it out early.

But the moment a prospect picks up the phone, that should be a person. Every time. Cold calls remain the highest converting outbound channel in B2B for one simple reason: buyers are humans, and humans respond to humans when money is on the line.

What winning teams actually do

The companies winning right now run both. One cracked GTM engineer wires the entire backend so a smaller team of elite reps only does revenue producing work. No list building, no data cleaning, no manual enrichment. Just calling, selling, closing.

That's what $110M in failed experiments is slowly proving. AI does everything except the part that actually closes deals.

Artisan spent $2M on billboards to learn what a few cold calls would've told them for free.

Some from £5M ARR startups.

Some from £500M ARR enterprises.

Some written on a whiteboard in 20 minutes.

Some written in a 60-slide deck nobody will ever open again.

And almost every one that worked had the same four things in place.

Almost every one that didn't was missing at least one of them.

So I figured I'd just write about it.

Four rules. Non-negotiable.

1. ICP. Who are we targeting?

Know exactly who your ideal customer is.

Not "B2B SaaS". Not "mid-market". Not "anyone with a sales team".

Specific. Title. Industry. Headcount. Stack. Stage. Buying triggers.

Without this, nothing else you do is worth doing.

Your copy lands flat. Your ads burn money. Your reps chase the wrong accounts.

Where does your ICP hang out? What do they read? What language do they use to describe their own problem?

If you can't answer those three in one sentence, you don't have an ICP yet. You have a guess.

2. Offering. What are we giving them?

You need to be offering something that's valuable to their specific position and their specific pain.

Not your product. Your product is the how.

The offering is the outcome they're trying to buy.

If they feel like you understand them, they begin to trust you.

That's sales 101 and it hasn't changed in 30 years.

A buyer doesn't book a call because your subject line was clever.

They book because the message in front of them named the problem they're already trying to solve.

3. Channels. How do we reach them?

Without a channel, you can't tell them about anything.

Email. Phone. LinkedIn. Direct mail still works in some markets.

The size of your TAM should shape this.

Large TAM (5,000+ accounts): more automated. Email-led. Programmatic. Volume with quality controls.

Small TAM (under 500 accounts): manual. Deep research per account. Email plus phone plus LinkedIn on every priority target. ABM-style.

Trying to run the small-TAM motion across 10,000 accounts burns your team out in a month.

Trying to run the large-TAM motion across 200 accounts wastes the accounts and tells the buyer you don't know them.

Pick the motion that matches the list.

4. RevOps. How do we operate?

The part most teams skip.

Having good systems to make outbound easy and consistent for your team is what separates a one-month spike from a year of compounding pipeline.

How are we updating the CRM?

How do reps get fresh lead lists every week without building them by hand?

What's the daily cadence? Who calls when? Who follows up when?

What's our SLA on inbound? Who routes the lead and how fast?

If you can't answer these, you haven't built outbound.

You've built a sequence and called it a strategy.

The RevOps layer is the difference between "we did outbound this quarter" and "outbound is now a system that produces meetings on a predictable cadence".

5. Bonus rule. Be open-minded about the approach.

Something that worked in 2023 might not work in 2026.

Cold email that booked meetings two years ago is in spam folders today.

LinkedIn DMs that converted last year are getting ignored now.

The channels move. The buyers move. The signals move.

Try everything. Measure honestly. Act on the data, not the slide deck.

I share these because the four rules above are the bar.

If you don't have ICP, offering, channels, and RevOps locked down, you're not running outbound.

You're running an experiment and calling it a strategy.

Tom

Their signal-led outbound was working.

Reply rates were strong. Meetings were booking. Pipeline was healthy.

Then it stopped.

So they did what every team does when outbound goes quiet.

They rewrote the copy.

New hooks. New CTAs. New framing.

And nothing changed.

So I figured I'd just write about it.

Because in almost every case I've seen, the copy isn't the problem.

The signal layer is.

Here's how to diagnose it.

1. Check how your team is pulling signals.

Ask the team how the last list got built.

If the answer is "we pulled everyone with a job change this quarter", that's the problem.

That's a static snapshot of a single moment in time.

By the time you've enriched it, sequenced it, and started calling, the signal is three weeks cold.

Real signal use is continuous. The TAM is being watched in real time, and accounts get surfaced the day the signal fires, not three weeks later.

2. Check if you're acting on one signal or several.

The accounts worth your time aren't the ones with a signal.

They're the ones where several things are happening at once.

If your team works funding rounds, or job changes, or new tech installs, but never spots the account that just raised AND hired a VP of Sales AND posted three SDR roles, you're acting on single signals.

A single signal is noise.

Stacked signals are a buying window.

Most teams don't have the layer that tells them which is which.

3. Here's what we use to fix it.

BirdDog sits on top of the CRM.

It watches the whole TAM continuously, not in pulled-list snapshots.

It scores every account by how many signals are firing in that account right now.

You write the signals in plain language.

"Replacing a legacy CRM."

"Hired a RevOps leader in the last 60 days."

"VP of Sales started in the last 90 days."

The accounts are already split by territory in the CRM.

The rep logs in, opens their patch, and sees a live ranked list of what's moving right now.

No ops bottleneck. No stale lists. No single-signal noise.

I share this because almost every team I've audited recently has been treating a targeting problem as a copy problem.

The reply rates are telling them something. It's just not what they think.

If you want a look at how to set up a live signal layer in BirdDog and sync it into your reps' CRM patches, reply and I'll send the setup over.

Tom

A big company selling AI SDRs.

Preaching that it's the new way to do outbound.

Replace your sales team with software, they say.

Then I look at their careers page.

Hiring new SDRs.

Plural.

So I figured I'd just write about it.

Because the gap between what these companies sell and what they actually do internally tells you everything you need to know.

1. Should AI be in your outbound process? Yes.

Should AI be sending the emails, the DMs, and making the calls?

No.

The companies selling you "AI SDRs" already know this. That's why they have a human sales team booking demos for their AI SDR product.

The pitch and the practice don't match. That's the warning sign.

2. Most reps spend 20% of their day actually selling.

The other 80% is admin.

CRM fills. Disposition notes. List building. Lead research. Inbound routing. Lead scoring. Contact sourcing. Cadence management. Call feedback.

If you double a rep's selling time, you don't need to hire another £80k SDR.

You just have to give the one you already have their week back.

3. This is where AI actually wins.

Not replacing the rep.

Removing the work that was stopping them from being a rep.

Building lists at 3am while they sleep.

Routing inbound leads in under 60 seconds.

Logging dispositions automatically off the call recording.

Scoring and prioritising the queue before they log in on Monday.

Surfacing the three accounts that triggered a buying signal yesterday and need a call this morning.

That's the job. That's what AI should be doing.

4. The reason the "AI SDR" pitch sticks is because it sounds cheaper.

Replace a £70k salary with a £20k subscription. Of course leadership likes that on a spreadsheet.

In practice, the buyer never wanted to have a conversation with software.

They wanted a human who knew their business well enough to be worth 15 minutes of their week.

You can automate everything around that conversation.

The conversation itself is still the point.

5. The companies winning right now are picking the boring answer.

Keep the reps.

Automate the admin around them.

Watch the same headcount produce 2-3x the output inside a quarter.

No layoffs. No new hires. Just the team you already have, doing the job you actually hired them for.

I share this because the AI SDR pitch is loud right now, and it's pointing teams at the wrong problem.

The problem isn't that you have humans in your sales team.

It's that your humans are doing work a machine should be doing.

Tom

Mostly.

But the picture in my head was funny.

Two AI agents in a Slack channel.

"These leads are unqualified."

"They're exactly what you asked for."

"You said C-level."

"You said senior decision-makers."

The same fight humans have been having for 20 years.

Just faster, and with less passive aggression.

So I figured I'd just write about it.

1. AI is not the cause. And it's not the fix.

It's the amplifier.

If your teams agree on what a qualified lead is, AI makes the system faster.

If they don't, AI just makes the disagreement louder.

The argument used to happen in a quarterly QBR.

Now it happens 14 times before lunch.

2. The cause is structural.

Marketing has one account list.

Sales has a different one.

Marketing scores leads on behaviour.

Sales scores them on gut feel.

Neither team has the same definition of "qualified".

You can wire Claude into every step of that and it will still break.

The problem was never execution speed. It was alignment between silo'd teams.

3. The teams winning in 2026 share four things.

One list.

One signal stack.

One definition of qualified.

One scorecard.

Not a new tool. Not a new agency. Just the discipline to make both teams agree on the same picture of reality.

4. The conversation nobody wants to have is the one that fixes it.

Sit both leaders in a room.

Write the definition of "qualified" on a whiteboard.

Title. Company size. Behaviour. Signal. Stage.

The definition might be ugly. It might take three meetings.

Until you've done it, every handoff is a fight waiting to happen.

5. Measure both teams on the same outcome.

Marketing on MQL volume alone hands sales a pile of bad leads.

Sales on closed-won alone rejects every lead that isn't perfect.

Measure both on pipeline contribution and closed-won influence.

The metric forces the alignment. The alignment kills the fight.

I share this because the AI conversation has become a distraction.

AI is what you install after you've fixed alignment, not before.

A good system runs faster with AI on top.

Tom

New copy. New CTAs. New landing pages. New offers.

And almost none of them touch the actual booking page.

The one place where every interested buyer either books or bounces.

So I figured I'd just write about it.

Five small changes. Same calendar tool. More meetings.

1. Make your slots 15 minutes, not 30 or 60.

A 60-minute slot looks like a commitment.

A 30-minute slot looks like a meeting.

A 15-minute slot looks like a chat.

Buyers book the chat.

You can extend the call once you're on it. They almost never end at 15. But the booking page needs to be the lowest possible threshold to get them on the phone.

2. Maximise your availability in the next 7 days.

Trying to look busy on your calendar does not increase revenue.

It just means people don't book.

If your next available slot is in 9 days, the buyer's intent has decayed by 90% before the call even happens.

Open up every slot you reasonably can in the next 7 days.

Looking fully booked feels like a power move. It costs you meetings.

3. Offer weekend slots if you can.

Some buyers actually prefer weekends.

Founders. Heads of sales. People who can't take an "internal" call during their working week.

You don't have to offer the whole weekend. Saturday morning is usually enough.

The number of weekend bookings that turn into closed deals is disproportionate to the effort of offering them.

4. Don't let anyone book more than 7 days out.

Anything booked further than a week ahead has a much higher no-show rate.

Life happens. Priorities shift. The pain that drove them to book gets dulled by something else.

Cap your booking window at 7 days. The lead either takes a slot inside the window or doesn't.

If they don't, that tells you something useful about how serious they are.

5. If a call does land past 7 days out, pre-call them.

Sometimes you can't avoid it. The buyer is travelling, in back-to-back meetings, whatever it is.

Fine. But don't just let the slot sit there.

Call them before the meeting. Confirm. Either reconfirm the slot or move it forward.

If they won't pick up and won't confirm, the call wasn't real anyway. Better to know now than to block 30 minutes of your rep's diary for a no-show.

I share this because every team I've ever audited has at least three of these wrong, and the fix takes 20 minutes inside your booking tool.

Not a new strategy. Not a new hire. Just a better booking page.

If you want a look at the full booking page setup we use (questions, slot logic, no-show automations), reply and I'll send the template over.

Tom

Alex Hormozi told a story recently about a company that went from $250M to $1.2B in sales.

Same product. Same market. Same team size.

The change wasn't a new offer.

It wasn't a new channel.

It was routing.

They started giving the most qualified leads to the best-performing reps.

That's it. That was the unlock.

So I figured I'd just write about it.

Because almost every B2B SaaS team I walk into is doing the opposite of this without realising.

1. Most teams round-robin leads to whoever has capacity.

A lead comes in.

The system assigns it to whichever rep is up next in the rotation, or whoever has space in their calendar that week.

This feels fair.

It also caps your revenue at the average performance of your reps.

If your best rep closes 25% and your worst rep closes 8%, round-robin guarantees you're getting closer to the average of the two than to the ceiling.

You're throttling your own revenue with a rotation script.

2. Reps are not equal. Pretending they are costs you money.

Some are senior, some are new, some are bad.

Some close on the first call. Some need three.

Some can handle a CFO. Some shouldn't be allowed near one.

When you treat them as interchangeable, the £200k lead and the £20k lead get the same treatment.

The team that scaled to $1.2B figured out the £200k lead deserves your best rep.

3. The objection is always "but what about the new reps?"

Fine.

Don't give your new reps zero leads.

Give them lower-scored ones. The ones where the stakes are smaller and the learning is faster.

Watch them.

When a new rep goes from closing 1 mid-tier lead a month to 5, you know there's progress.

That's when you upgrade them into the next tier of leads.

They sharpen their teeth on smaller deals and earn their way into bigger ones.

4. The compounding effect is what most leadership teams miss.

When your best reps are working the best leads, they close 20+ deals a month.

If they're on commission with no cap, they're making serious money.

When the rest of the market hears about that, you stop having to recruit reps.

Hungry reps start applying to you.

Suddenly you're not paying recruiters to find talent. You're picking from a queue.

Your routing decision quietly becomes a hiring strategy.

5. Here's how we actually score the leads.

Clay is the tool for this.

Push every inbound, every opt-in, every positive reply into Clay as the central hub.

Then run the scoring layer on top.

Firmographic data first. Revenue band. Headcount. Industry.

Form data second. Whatever they told you when they submitted. Urgency. Use case. Job title.

Then the enrichment layer. Are they hiring for relevant roles? Did they just close a funding round? Is there a new head of the buying function? Are they in your ICP technographically?

Each input gets a weight you set based on what actually correlates with closed-won deals in your business.

Clay totals the score per lead.

Higher score equals better rep.

6. Then push the score into your CRM and route from there.

Top tier goes to your closer.

Mid tier goes to your reliable rep.

Bottom tier goes to your newer rep or into a nurture sequence.

The routing is automatic. No manager sitting in the middle deciding case by case.

The system does the assignment. The rep just gets the right lead.

7. The hardest part isn't the tech. It's the politics.

Telling a rep they're not getting the £200k inbound is uncomfortable.

But the alternative is your top rep watching their best leads go to someone who'll fumble them.

That's how you lose your top rep.

Honest tiering keeps your best people doing their best work.

I share this because it's one of the highest-leverage changes a sales leader can make, and it costs nothing except the courage to admit your reps are not interchangeable.

If you want a look at how to set this up in Clay and sync the scores back into your CRM for routing, reply to this email and I'll walk you through it.

Tom

Over the last few years I've audited a lot of B2B SaaS pipelines.

Different stages. Different stacks. Different ICPs.

And the same finding keeps showing up at the top of the list.

Not their copy.

Not their targeting.

Not their close rate.

Speed to lead.

It's the single biggest lever in the business, and almost nobody is pulling it.

So I figured I'd just write about it.

1. Every minute you wait, the lead gets colder.

This is true for everything.

Inbound demo requests.

Opt-ins on your lead magnets.

Positive replies to cold outbound.

No-shows you're trying to reschedule.

Site visitors you've captured through deanonymisation.

The longer you wait, the less likely they book.

The longer you wait, the less likely they close even if they do book.

It's not a small effect.

The data on this is unambiguous. Leads contacted within five minutes convert at multiples of leads contacted within an hour.

Most teams take days.

2. The ideal window is two minutes.

This is the gold standard.

The buyer is at their desk. They just hit submit. They are actively thinking about your category.

You will never have their attention more cheaply than you have it right now.

A call in that two-minute window does two things at once.

It books the meeting. And it tells the buyer you're the kind of company that actually does what it says it will.

That second thing matters more than people realise.

3. If two minutes isn't realistic, aim for 15.

Fifteen minutes is the outer edge of "I just submitted that and it's still on my mind".

An hour is the absolute cap.

After an hour, the buyer has moved on with their day.

They're back in a meeting. Back in their inbox. Back on Slack.

You can still book them. But your conversion drops every minute past that mark.

4. The reason teams don't do this is they don't have the system for it.

They have inbound coming in.

They have positive outbound replies hitting their inbox.

They have site visits getting tracked somewhere.

But none of it routes to a human in real time.

The lead sits in HubSpot. Or a Slack channel no one reads. Or an automation that promises a follow-up email in 24 hours.

By the time anyone calls, it's tomorrow.

5. Here's how we wire it up.

Every signal gets webhooked into Clay.

Opt-ins. Positive replies. Inbounds. Site visits. No-show reschedule triggers.

In Clay we run qualification checks against the lead. ICP fit, role seniority, company stage.

Then we enrich. Job title. Company. Email. LinkedIn. Phone number.

When a match passes the qualification check, two things happen at once.

The lead is pushed into the CRM with all the enriched data attached.

A Slack alert fires to the rep with the lead's info, a link to the CRM record, and the phone number to call.

The rep doesn't have to look anything up. They just dial.

From signal to rep, in under 60 seconds.

6. Incentivise the team properly.

If you have reps, don't just reward booked meetings.

Reward speed.

A bonus for the meeting booked.

A separate prize for the call placed inside two minutes.

A smaller prize for the call placed inside 15.

You'd be amazed how fast a sales floor moves when there's a kitchen timer attached to it.

7. The compounding effect is what makes this the biggest lever in the business.

Faster speed to lead means more conversations.

More conversations from the same volume of leads means more meetings.

More meetings from the same headcount means more closed deals.

You haven't spent another pound on demand gen.

You haven't hired another rep.

You've just stopped letting your own pipeline rot in an inbox.

I share this because almost every team I walk into has a speed-to-lead problem they don't know they have.

They think they need more leads.

They actually need to act faster on the ones they already get.

If you want a look at how to wire this up for your team, reply and I'll send you the exact webhook and Slack setup we use.

Tom

PS: The cheapest test of this is to look at your last 50 inbound leads. How long between submission and first call? If the median is over an hour, you're leaving half your pipeline on the floor and you haven't even noticed.

Different stages, different ACVs, different stacks.

Some are doing £5M ARR. Some are doing £50M.

Some run HubSpot, some run Salesforce, some run a spreadsheet pretending to be a CRM.

But when I sit down with the head of sales and ask what their reps actually did last week...

I almost always get the same answer.

So I figured I'd just write about it:

1. Most sales reps spend less than half their week selling.

I mean it. Less than half.

Monday and Tuesday morning: building an account list.

Wednesday: researching those accounts.

Thursday: writing "personalised" messages.

Friday: forty emails sent, two conversations had.

Then on Monday they start again.

You're paying £70k for someone to copy-paste LinkedIn URLs into a CSV.

The selling happens in the cracks.

2. A rep is most expensive when they're not selling.

The hourly cost of a £70k rep doing list-building is the same as a £70k rep on a discovery call.

One creates revenue.

The other creates a spreadsheet.

I'm always willing to bet that the highest-leverage hour of your rep's week is the hour they spend on the phone with a buyer.

Not the hour they spend in Sales Navigator.

3. The "personalisation" a rep does by hand is usually worse than what a system does.

A human reads three LinkedIn posts and writes "loved your post on..."

A signal layer pulls hiring, funding, tech stack changes, and job changes across 300 accounts in parallel.

One of those is personalisation. The other is theatre.

4. Hiring another SDR doesn't fix this.

It gives you another person doing the same admin, more slowly, for the first six months while they ramp.

The question isn't "do we need another rep".

It's "why is the rep we already have doing work a tool should be doing".

5. Your best reps quit when they realise the job is admin.

The ones who stay are the ones who don't mind admin.

Think about which of those two you actually want on a quota.

6. You can't forecast on activity that depends on a rep's mood.

Pipeline coverage is a system problem.

It's not a willpower problem.

If your forecast moves £200k either way depending on how Greg's Monday went, you don't have a forecasting issue, you have a process issue..

I share these because maybe one or more is happening on your team right now.

If your sales reps are in spreadsheets, you don't have a sales team.

You have an admin team that occasionally sells.

If you want a look at what your team is actually doing with their week, reply to this email with SEND and I'll send you an outbound efficiency calculator

Go crush it,
Tom