MESSAGING

Say the same thing everywhere

Messaging is where everything starts in the attraction process. Every one of these has to say the exact same thing to the same person:

No congruency, no control over who walks in.

Your application questions themselves signal whether you are talking to the right people, and your salespeople all need to be repeating the exact same things. Most businesses have no congruency across these steps, so they immediately run into a problem with who is actually coming into the funnel. Nail congruent messaging and you control the who.

TAP THROUGH

Build it all for one buyer. Deter the rest.

Congruent messaging only works when it is aimed at one specific person. Nowadays there really is no middle class, to a degree, so you are either advertising for a rich demographic or for the general public. There are four group stages of buyers, so decide which one you are attracting before you build anything.

Type 1The Risk-Takers

Now the key question: relative to the type you chose, what messaging variables will attract the best of the people you want? You do that with three messaging best practices: problems, circumstances and desired outcomes.

THE BRIDGE

Break each one into what, how and why

When you look at problems, circumstances and desired outcomes, break each one down:

How does everything look in their world right now?
What does it feel like, sound like, look like?
Why are they in this position in the first place?

They only care about the bridge once you have described both sides.

Visualize it as a bridge system. You need to properly articulate where somebody is right now and where they ideally want to go. Only then do they care about the bridge, which is your offer. The bridge has to be sturdy, and they have to have the confidence to walk across it.

TRAFFIC SHIFTS

In-market vs needs-convincing buyers

Chet Holmes describes this in The Ultimate Selling Machine as stadium selling. The numbers vary depending on who you ask, but the demographics exist. Your traffic is not one audience, and the moment it changes, your messaging has to change with it.

In-market: 3 to 4%Needs convincing: about 30%Not in the market yet

Picture your market as a stadium of 100 seats.

A. In-market

Already actively seeking a solution, ready to spend money to solve a problem or buy an outcome. When you launch small, these are the ones who show up ready to go: a few questions and they buy.

B. Needs convincing

They come off a little colder. They could be convinced they have the problem or want the outcome, but they are not coming through the funnel already sold. They have a baseline level of interest that can be nurtured.

AS YOU SCALE

Watch for the shift

Shape only. The shift is what matters, not the exact curve.

Phase one, you launch small. On a smaller budget you often get an in-market pool. They show up ready to go: lay-down deals, a few questions and they buy.

Phase two, you start scaling. Eventually you see a slightly higher cost and a slightly colder lead on the calls. That is needs-convincing traffic arriving.

When that happens, your messaging can no longer be geared only toward in-market buyers. The second needs-convincing traffic shows up, update the entire messaging stack to educate people on why it makes sense for them to buy, not just to sell them.

Before you do anything, consider the who:

Who specifically am I attempting to talk to?
Do I want to talk to in-market buyers, or straight to needs convincing?
Which buyer type am I talking to on the risk spectrum?

And make sure the messaging is congruent across the board.

THE OPT-IN

Run your call funnel without an opt-in

We are still running call funnels without opt-ins. An opt-in is usually just added friction. You only justify one if you can pass this test:

1. Pull the report

Go into your CRM and pull everyone who opted in and never applied.

2. Check the money

If your setters still made real money off those people, and a good amount, you can justify the opt-in.

In almost every other case, an opt-in is just added friction.

The opt-in was inflating cost per call just by existing.

One business brought its call funnel in for a bottleneck analysis. It had an opt-in pulling a 2.62% opt-in rate, an insane level of friction for a call funnel, and it drove a $520 cost per call. Pull the opt-in and you typically get a lot more people through the funnel. (Individual result, not typical.)

THE PAGE

Headline, VSL, then the application

Our funnels typically look like a headline, a VSL on the page, then the application embedded straight away.

Not everyone consumes a VSL the way you built it, so give them formats that let them self-pace:

Traditional VSLs work.
Podcasts work really well. One real estate education business runs a plain hour-long Zoom podcast embedded right on the page, just a webcam, and lets people skip through it. It is now doing around a million dollars a month. (Individual result, not typical.)
VSL chapters work really well. Map the specific things people want to know to the chapter that covers them so they can skip right to it. That gets far more consumption, especially with the rich demographic.

Do not force front-end consumption. One operator forces it with a 45-minute delay before the application appears. Out of 220+ operators in the same mastermind group, he is the only one pulling it off. Everybody else who tries it gets a dramatically higher cost per call. (Individual result, not typical.)

THE SOFTWARE

Typeform and Calendly still get the cheapest calls

No affiliate relationship here, and both have little things that annoy us. But right now Typeform and Calendly still get the lowest cost per qualified call of any tech solution. Here is how the alternatives stack up:

Tool	What to know
Typeform + Calendly	CheapestLowest cost per qualified call right now
iClosed	More sales-centric. Allows double bookings and has good visual analytics. Some higher-level operators use it.
SalesKick	Polar-opposite reviews. Its AI analyzer grades free-form answers and adds a 4 to 15 second delay before the scheduler, which can push cost per call up; one operator's costs skyrocketed after switching. On a simple multiple-choice application without the analyzer, it can be fine.

TAP THROUGH

The 50% cliff: keep the application and scheduler together

Here is the structural mistake that quietly kills funnels. If your application and your scheduler live on two different URLs, you bleed qualified people between them.

DRAG IT

The booking window

Keep the maximum booking window to about 72 hours out. Push further and show rate degrades a lot. Sooner is better, but too soon and they have not had time to consume anything.

Call booked this far out24 hours

Same day5 days

Sweet spot

If leads keep showing up under-educated and your closers are stuck doing education calls, add a little time between the booking and the call. Usually about 24 hours is ideal, because you want consumption to happen.

TWO BRAINS

Booking flips them into a different brain

Before you build the confirmation page, understand this switch, because everything after the booking is built around it.

Same person, two completely different brains, split by the moment they book.

Shallow front-end consumption is normal. They were scrolling social media when your ad showed up. They will not watch 100% of your VSL. They are scanning your VSL, headlines, ads and even application questions to answer one question fast: is this for me? That is why play rates look shallow in your analytics. Shallow play rates on the front end are the scan, not a crisis.

After the booking, you win on urgency. Once they are on the calendar, they decide whether showing up is worth their time, mostly through one lens: is this a real priority? If show rates and close rates suffer and sales cycles drag, you are usually not giving them real reasons to bump you up their priority list.

No reason to prioritize you, no show.

THREATS

Nuclear-level threats to your show rate

If any of these is plaguing you, it has to be handled:

A negative set of Trustpilot reviews
An AI model talking poorly about you and your business
Or worse, a negative Reddit thread

Put a due-diligence video on the confirmation page: go through exactly what they would find on their own and add frame to it. When a country goes to war, it lays out a narrative and a justification first. It never just starts without making the why known.

Add the why behind any negative, right on the confirmation page.

SYSTEM 1 OF 5

The confirmation page and breakout videos

The confirmation page is where back-end selling starts. It is filled with breakout videos, each one answering something before the call so your closer walks into a warm conversation.

Anything your salespeople hate explaining on every call becomes its own video, one per thing.
Any aha moment a lead needs before they will buy goes into a breakout video.
Add anything you want them to know ahead of time. One business has 19 breakout videos plus an urgency video, 20 on one page. (Individual result, not typical.)
Testimonials are a must. They make a big difference.

Avoid the usual call-funnel lines like “make sure you check your email, make sure you show up.” None of that works anymore. Nurture the education frame instead: it helps your salespeople, shortens the sales cycle, increases show rate and gets people excited.

A warm conversation starts on the confirmation page, not at the close.

SYSTEM 2 OF 5

Value-dense email sequences

Some niches consume differently. Blue-collar buyers often will not watch confirmation-page videos (you will see single-digit play rates), but they will read every email. That is why there are five systems, and why they all repeat the same messaging.

Target at least a 50 to 60% open rate. Deliverability scores sit near 100%, so judge by opens hitting the primary inbox.
You can send up to six value-dense emails a day, but never start there. Start with two to three and work up based on the previous email's open rate.
The whole game is saying things they genuinely care about, not filler.

Picture a buyer who books a call after an ad promising they can move their US corporation to Dubai and skip US taxes. The call is nine days out, and all they get is reminder emails. So they do their own research, learn it is not true and could land them in legal trouble, and never show. If those nine days had been filled with real education, even five or six emails a day, they would have shown up enthusiastic and been more likely to close.

When you don't provide the information, they go find it themselves.

SYSTEM 3 OF 5

Setters educate, and sales trust assets do the heavy lifting

Unsophisticated businesses have setters reach out and selfishly qualify people on their finances. That makes no sense. The setter's job is the education part of the sale, if it is not done yet. The best setters lean on a sales trust asset, a page built to answer everything up front.

Business	What their trust asset includes
Raising capital for a real estate deal	Executive summary video, full on-site property video, offer memorandum, financials, a CoStar report, drone footage, and market proof like “this county is number one for growth” with links to best-places-to-live articles
Done-for-you Airbnb offer	A monster list of every deal done: address, two links per address, financials, a pro forma and a video breakdown of every property. Show rate went to 75%+. (Individual result, not typical.)

Then the setter makes contact, mostly by text since most people do not answer the phone, with an engagement-bait text:

“I've got pro forma links and video breakdowns per property we've helped clients get into. Would you prefer I text them or email a list?”

One hyperbaric chamber company doing around a million dollars a month does not even use a person. It runs an AI setter built with ElevenLabs on the phone to handle the education. (Individual result, not typical.) Human or AI, this step needs to get done.

SYSTEM 4 OF 5

Control what AI says about you

The general public now asks AI models what they should think about you, so you have to shape what those models say. Blogs, Trustpilot and Reddit are among the sources they pull from. Audit what the models currently say about you; they all cite where their data comes from.

The wrong price anchor nuked the close rate on the call.

One business's prospects kept asking Google what the offer cost, and the AI overview answered “around $5,000”, pulled from a decade-old podcast about a completely different offer. The real offer was $17,000 to $26,000. A lot of people were asking, and that wrong anchor hurt close rates badly. Audit it. It will have a high impact. (Individual result, not typical.)

SYSTEM 5 OF 5

The Hammer Them remarketing strategy

This remarketing layer saturates a lead between the booking and the call, so by the time they show up they already feel like they know you.

Put short-form and long-form content into two separate engagement campaigns, optimized for through-play video views, one video per ad set.
Target the people who just booked a call.
You need about 150 people per audience, because match rate is never 100%. Around 100 need to match for it to spend.
It works best at scale. You can extend the window to include everyone actively in your sales process to hit the minimum.

With all five back-end systems running right after someone books, you typically see the highest show rates, the highest close rates and the shortest sales cycles. That is when the call should happen.

RECAP

Congruency across the board

Everything you just built, the funnel and all five back-end systems, has to come from one baseline view: who you are actually trying to attract.

In Inglourious Basterds, American soldiers posing as Germans get caught the moment one of them orders three beers with the wrong three-finger signal. It took one wrong signal.

Same with your funnel. One wrong signal to the demographic you want and suddenly a bunch of broke people come through. It runs both ways on the back end too: blast six emails a day from day one and you annoy the wrong crowd; put an immature setter on the phone with older men and you will have a bad time.

There needs to be congruency across the board.

THE ALGORITHM

Standard events and learning mode

When you build a campaign, first map the standard events across the funnel you can optimize around:

Ideally you optimize around the furthest-down event, purchase. But you have to escape learning mode first: each ad set needs at least 50 events per 7 days. Loading one ad set versus ten makes a huge difference in staying inside the same pocket audience. Most call funnels get optimized around schedule.

The order matters. Your messaging and the event you optimize around decide who you reach first. Once that data hits the results column, the pixel's history takes over, and it runs on recency bias. One advertiser was cruising with a great cost per call until a post went viral on Facebook; a flood of the wrong people hit the results column and performance tanked as everything optimized around the junk. (Individual result, not typical.)

Practice detachment. Be willing to leave a pixel behind and start fresh, so your messaging takes over the targeting again.

AD CREATION

Turn your sales calls into your ads

If you already have sales calls coming in, your ad copy is sitting in your call recordings.

Get your past sales calls into transcripts and build a giant library.
Run it through an AI model that can handle the volume, along with your ad SOPs, and have it create ad ideas, ad copy, funnel copy, even a VSL script to film.
Use the calls that had friction and did not close, plus the ones that asked good questions and still closed. Lay-down deals will not give you much.

Turn off related media. One new advertiser saw a random up-close photo of a client's face show up in his own newsfeed, because related media was on at the ad-set level. Turn off every advantage-creative toggle except related comments, the one that surfaces a positive comment in the footer as people scroll. Turn the rest off; they will cook you. (Individual result, not typical.)

AI SALES MANAGER

Put an AI sales manager on every transcript

Time and again, AI does a better job at sales management than humans, because it does something a person cannot do at scale: review every single call, in full, against best practices, worst-case scenarios and compliance.

Send feedback to the rep by email or Slack, or write notes to a CRM field you set up.
Send your human sales manager an end-of-day report, and send the owner an unbiased one. Salespeople bend data in their favor; the AI never does, so you get a raw read of what went well, what went badly, what to fix and what to amplify.
Send an unbiased report to the marketing team too, so they can act on what is actually happening on calls.
Feed it transcripts of people who refunded, so it can flag who has a high chance of refunding or charging back based on how they were closed.

How To Scale A Call Funnel To 6 Figures / Mo

Start With The Who