Article

Issue #184 | The Conviction Gap

Advertising Marketing Testing

September 6, 2026

The (unofficial) end of summer is finally upon us: Labor Day weekend. I hope these last few months have been fun, relaxing, rejuvenating and full of wonderful memories with friends, family and loved ones. I’ve always thought of summer as the best time of the year – the warm, late sunsets, the slightly slower pace, the kids playing in the neighborhood. It’s a magical time of year.

But that’s the nature of time: all seasons come and go. And while the next summer may feel like an eternity from now, Fall & the Holidays are just around the corner. Somehow, there’s less than 90 days until BFCM and just 110 before Christmas.

So, with that in mind, I wanted to talk about one of the most important-yet-underdiscussed concepts in marketing: reversibility.

It’s the variable almost no brand prices into their lifecycle marketing, yet it explains more about why those programs underperform in considered categories than any creative test or subject-line experiment or segmentation project.

Think about some of the marketing emails you’ve received from brands over the last week – maybe it was something from Vuori about their new line of polos, or a trendy new beverage with electrolytes, or an all-natural supplement that helps your kiddos get a better night’s sleep, or the cool new battery-powered smoothie maker (yes, these are all oddly specific for a reason) or whatever putting aid Rory McIlroy has been photographed using at the range. The actual product is irrelevant; what matters is what’s underneath it: nobody buying any of those things is making a real commitment.

Yes, they’re putting in their credit card or Apple Pay or whatever. But they aren’t committing. They’re simply running a paid experiment.

Their downside – if everything goes sideways – is bounded at $40 or $60 or $200 or whatever they paid, less the inevitable 10% discount. Their exit from whatever experiment their running is similarly trivial: return it on Amazon, throw it in the trash, chuck it into the basement/garage/attic and move on. And the cost of being “wrong”, of falling for the marketing, is that the thing collects dust on the counter for a few months – which is to say, a cost so trivial it never even enters your mental calculus.

For any of these things, a lukewarm buyer is still a buyer, which means the purchase has exceedingly little to do with the persuasiveness of your emails/SMS and everything to do with the stakes being far too low to justify the cognitive expense of evaluating the decision.

Curiosity is sufficient. Conviction is a pipe dream. No one genuinely believes that the latest supplement is going to turn them into Henry Cavill, but we still give it a try on the infinitesimally small chance we’re wrong.

But this doesn’t apply to everything. Where this model breaks is when the thing you’re selling moves from a low-cost, low-consideration experiment to a high-cost, high-consideration transaction.

Most marketers – especially email marketers – are incredibly adept at the former (low cost, low consideration) and woefully unaware of what changes when you move to the latter.

So, let’s up the stakes and watch what breaks.

What happens when you go from a Nutribullet to a whole-home window replacement?

The Nutribullet (according to their website and the email I just got) costs $55.88; the 2026 national average for any window replacement project is ~$7,348, with a full-home job on 8 to 20 openings running ~$8,000 – ~$25,000. And that’s BEFORE you get anywhere near premium materials or historic-match specifications. It’s 130x more expensive than the healthy little blender that can’t.

There is no lukewarm version of that transaction. 99% of homeowners in this country can’t just throw tens of thousands of dollars at a company – not to mention the safety and security of their families – on a whim. To get someone to sign on the line which is dotted (to borrow a phrase from Glengarry Glen Ross), you need commitment and conviction.

That’s doubly true here (and in most high consideration industries) because there is no return. You can’t un-install windows and return them. The remedy for a bad window purchase is another window purchase (and probably a lawsuit against a contractor), which means the “return policy” is functionally another $8,000 and another 2 weeks of contractors in your house.

Senior living is the same structure with more money and higher stakes. The first standard deviation of duration from inquiry to move in for assisted living (AL) decision is (according to our data) ~41 to ~85 days. Independent living is longer, usually ~90 to ~129. And the cost of being wrong isn’t just months of rent (which is usually well over $10,000 for just a month or two); it’s telling your father that the community you spent 4 months convincing him to accept is not going to work, then doing the entire thing again – the tours, the financial disclosures, the move itself, the guilt, the phone calls with siblings who have opinions but no availability. Most adult children simply can’t afford – financially, emotionally, logistically – that process 2x.

That’s what I mean by reversibility.

The Nutribullet? Reversible. The windows? Not so much. The move-in? Not at all.

And once you start critically evaluating lifecycle programs through that lens – whether they are reversible or not – you’ll start to see that these are two fundamentally different types of jobs to do. That leaves one conclusion: we marketers should stop pretending users shopping shirts and home services operate on the same buying algorithm and stop handing them the same lifecycle architecture.

RETENTION IS SUCH A DIRTY WORD

Before we go down that road, let’s take a big step back.

In most agencies + brands, the default classification of email + SMS is as a “retention” channel. To be very blunt, that classification is not derived from the functional role the channel plays, but rather is a reporting artifact. Unfortunately for the quality of email + SMS (writ large) today, reporting structures determine behavior far more reliably than strategy documents do.

Lifecycle (across the board) tends to report into RevOps or Finance, which means it is evaluated based on revenue from existing customers. Ergo, email is staffed with a calendar operator, judged on revenue per send and/or revenue per unique user, and aimed squarely at the people who have already purchased OR we have exceedingly good reason to believe will purchase (i.e. they’ve put the thing in the cart but simply need that final reminder (and 10% off) to get across the proverbial finish line). The structure/classification of the channel dictates the function, the function produces the output – namely, email as a reminder + discount delivery service.

Unfortunately, that structure has found its way from the reversible industries (where it’s somewhat right) to the irreversible ones (where it’s fundamentally wrong).

According to our data, a homeowner replaces their windows once every 20 – 25 years. There is no 2nd purchase to secure through “retention”. A senior living resident moves in once, stays ~30 months in assisted living or ~18 in memory care and generates ~$135,000 to ~$165,000 in revenue over that stay – but the operator’s relationship with the adult child who made the decision ends at move-in. You can’t run a win-back flow on a decision that only happens once.

But – somehow – the people running email in the irreversible categories are pulling their strategies + design templates from the reversible arena, then wondering why their programs continually underperform.

The answer – for starters – is that retention isn’t the job for email/SMS in irreversible categories. This isn’t an opinion, either – there’s math to back it up.

(yes, we bring math to email fights)

THE COVERAGE RATIO

One of the ways we evaluate email in irreversible industries is via the “Coverage Ratio”:

Let T(c) be the consideration window: days from first meaningful contact to decision.

Let T(s) be the programmed duration of your email flows: the number of days from list entry to the last touch that was designed for that specific segment (vs blasted to the whole list).

Using those definitions, Coverage = T(s) / T(c).

Now, examine the standard lifecycle playbook, which (based on our audit data) ~80% of brands run:

A welcome series of 1 to 5 emails over ~10 days
Recapture/Reactivation of non-responsive leads = ~3 emails over 4 days
· Post-Appointment = 3-5 emails over ~7 days

Generous accounting puts the total programmed duration for a user that hits ALL of those at ~10 emails (using the mid-points for each above) over ~21 days. The reality (again, based on our audits of well over 100 brands in this space) is closer to 3-5 emails over ~14 days – most users aren’t going to hit all 3 flows. After that, the prospect falls into the campaign calendar; the only emails they get are the occasional updates or self-promotional nonsense most brands mass-send to their lists.

Now run the coverage ratio: assisted living, at a midpoint consideration window of 85 days: coverage = 21/85, or 0.2471. Independent living, at 105 days: 0.2000.

Windows, where the lead-buying market itself segments prospects into immediate (under 30 days), near-term (1 to 3 months), planning (3 to 6 months), and future (6+ months): even the near-term segment ~60 days yields 0.350. The planning-stage group (which is where a substantial share of high-value, full-home jobs reside) comes in around 0.1556 and falls to 0.1147 at the 6 month mark (~182 days).

I recently brought this up during an audit. The CMO’s response was, “We do email those people! We have a campaign calendar and send EVERY WEEK!”

And they did.

But a calendar send is not the same thing; a campaign calendar is built for the aggregate audience and optimized against revenue per send (if its optimized for anything at all), which means it is designed to extract from whoever happens to be closest to buying this week. Calendar sends – by their very nature – are NOT designed to move one specific person past one specific objection. Sending to someone is not nurturing or sequencing or moving them; it’s yelling at them and hoping they do something.

What the coverage ratio REALLY tells you is what percentage of the median decision journey is actively being made is while the prospect is flying blind (or, at the very least, without guidance from your brand).

I was recently giving a talk and I likened this to a parent advising their high school junior on college admissions. If you’re unfamiliar, the entire decision tends to be exceedingly long – about 12-14 months from the time you sketch the initial list of prospective schools (2nd half of Junior Year) through commitment to a College/University (April/May of Senior Year). Now imagine the parent just stops providing any guidance, support or assistance – save for regular household updates in ~July. No feedback on essays. No weighing in on the costs of a public vs. private school or what the family can afford. No attending interviews or sharing experiences or making connections or sharing tidbids of advice. No help in completing the financial paperwork. None of it.

I think most of us would agree that the radio silent after July parent is not fulfilling their responsibilities to their child, right? After all, they’ve disappeared with ~75% of the decision left to be made.

Well, that’s EXACTLY what most lifecycle marketing in irreversible decisions does: it allows the single most consequential stretch of the buying process to happen in silence (or worse, it just intermittently pops up with a promotional message unrelated to the decision/objection/challenge the prospect is actually wrestling to overcome).

And none of this is an execution failure. The copy on those calendar sends is often exceptional good. The content is decent. The offers might well be compelling.

The problem is that the decision in question occurs on a weeks-to-months timeline, but the communication structure – the “air cover” under which your marketing + sales can operate – was taken from a decision type (those reversible decisions) that resolves in minutes-to-hours.

LIFECYCLE IN IRREVERSIBLE DECISIONS = VARIANCE REDUCTION

You might read the above section and conclude that the solution is simple: extend the nurture sequences. Send more emails.

You’d be half right. Correcting the duration is a necessary but not sufficient, solution as it leaves the harder question untouched: what should those additional touches actually do?

If you ask most marketers/CMOs, the (most likely) conventional answer is more persuasion. Build desire. Sell those benefits. Increase urgency.

All of those answers are wrong.

Why? Reversibility (see, there was a point to leading with it!)

A few months ago, I wrote about common cognitive biases. One of those was loss aversion: the notion that the pain of loss is roughly 2x worse than the joy of gain.

That principle is the one at play. A buyer facing an irreversible purchase is not solving for maximum expected value; they’re solving for minimum catastrophic regret. The decision moves forward when:

Perceived EV(Success) > 2*[p(failure)*cost(failure)]

It means the perceived expected value of the benefit (in this case, everything going swimmingly) exceeds the probability of failure times the expected cost of failure.

The challenge is that, for any irreversible decision, the cost of being wrong is fixed, large, and outside your control. Try as you might, you can’t make a window installation cheaper to undo and you can’t make a 2nd move easier on an 84-year-old. The same thing applies to colleges/high schools, medical procedures, lawyers, investments and the like. Those kinds of decisions come with high costs of failure.

Which means there are two levers you can play with: probability & cost

But Sam! What about the perceived value of success? What about selling them more of the dream? You can do that, but (1) the only reason they’re talking to you is because they think you might be able to help and (2) see loss aversion above. Losses hit 2x harder than gains.

The practical implication of that is that every asset in the sequence either lowers the prospect’s estimated probability of regret or it’s a waste of time. A discount doesn’t lower that probability; in high-consideration categories a discount frequently raises it, because a price that moves is evidence that the price was never real, and a price that was never real is (at best) an invitation to wait for a better offer or (at worst) evidence about the company. The same holds true for urgency, which raises the perceived cost of insufficient diligence, (which is precisely the anxiety blocking the decision from moving forward).

What lowers the probability of failure? Evidence.

Installation footage from a house that looks like theirs. A simple explainer on the warranty claim process, from the person who actually handles it (not the sales guy). What the level-of-care transition entails when Dad’s needs change, shared simply and transparently, ahead of time (bonus points if you include current pricing). The 3 things the last handful of families said they wished they had known before move-in. Real, unaltered testimonials (warts and all) from customers about the specific fear the prospect is currently holding, proactively shared before they have to ask about it.

None of this is persuasion. I’d never use any of this (well, maybe the things before move-in) in prospecting. But for nurturing, it’s gold because it allows you to systematically reduce the leveraged term (probability of failure).

THE OBJECTION BUDGET

The benefit of this entire framework is that it provides a way for you to size the sequence without referring to a calendar.

Start with this basic premise: any considered purchase carries a finite set of blocking beliefs. You probably know the relevant ones for your industry – cost, necessity, uncertainty, quality of service, quality of materials, whether it’ll actually work, etc.

The prospect must resolve each one before they can commit, and each one requires (at least) one asset to resolve – often more, because the ones that matter require multiple forms of evidence (you can’t just say the process is easy; you need to back it up). The minimum viable sequence length is therefore the sum of the number of objections times the number of assets required to persuade the median member of a given segment.

For windows, the real list runs something like this:

Do I really need new windows?
Why are these windows better than the other ones?
How much of these benefits are marketing nonsense + how much is legit?
Is this the right product for my house/property?
Can this company actually do what they say / execute this project?
Is this company going to be around in 10 years when I need the warranty?
What does the warranty ACTUALLY do, anyway? What’s covered?
Is the quoted price the actual price?
Will I save more money by waiting?
Are the energy savings real or BS?
Can I finance this without regretting the terms?
What does my house look like during the install?
What happens if something goes wrong?
What does this do to my home’s value in the future? Will I get my money back?
What will my home look like after its done?
Do I replace everything at once or phase it?
How do I know the two other quotes I am holding are not better?

That is 17 questions. A 5-email welcome series with 3x emails on brand story, 1 founder letter, & hard sell with a “Save $5,000 offer” resolves precisely none of them. Gee, I wonder why email isn’t working.

You can do the same thing in Senior Living, where the list is longer, heavier and less rational (which, ironically, makes it more important):

Can I do this myself? Do I really need to put him/her somewhere?
Does s/he really need assisted living? Is it that bad?
Am I overreacting to a few things? Maybe Dad/Mom is fine.
Am I abandoning my Dad/Mom?
Am I failing as a child? Am I abdicating my responsibility to my parents?
My parents were always there for me, shouldn’t I be there for them?
Will s/he actually be cared for, especially when I’m not there?
What will his/her quality of life be at this community?
Will he end up like those tropes I see in shows, sitting in front of a TV?
Do they really do activities or is that just something they use to sell us
What’s the food like? Will they actually eat it?
Will I still have to do all the other things – haircuts, dr appointments, etc?
Will s/he be able to make friends?
What’s the quality of care s/he will receive?
Can I afford this?
What happens when the money runs out?
What happens when his/her needs increase? Can they handle it?
What if s/he falls? Do they have something to find it quickly?
How do we handle the house? The cars? The downsizing?
How do we have this conversation with him/her?
How do I tell my siblings?
Will my siblings think I’m taking the easy way out?
How do I tell MY kids that their grandma/grandpa is going to a home?
Can they handle his/her medications? How do they make sure s/he gets the right ones?
How long does this entire process take?
Do I have to be here all the time?
What happens if s/he hates it?
·Is this community genuinely different from all the others, or just more of the same?
Is this community RIGHT for him/her?

That’s nearly 30 questions, all of which we’ve isolated across thousands of interactions, sales calls and family touches. The common thread running through much of that objection set is guilt, which is NEVER addressed by a promotional calendar or a discount, and it is the single largest determinant of whether the family moves forward or simply does nothing.

There’s a reason we frequently advise clients in senior living to run exceedingly long nurture sequences with segmentation: there’s a LOT you’ve got to overcome. This isn’t an easy decision, and it isn’t a reversible decision.

So: count the objections. That is your sequence length. Then extend the timeline until it covers the consideration window. Advance on evidence of belief change rather than on a timer, because a prospect who opened the financing email 3x has told you which objection is currently top-of-mind AND unresolved (so no, don’t send the warranty email).

THIS IS A LOT OF WORK. ITS USUALLY WORTH IT.

The subtle case I’ve been building throughout this newsletter is that email & lifecycle should be treated as acquisition instruments, not retention tools. That entire premise rests on the fact that the expensive part of the funnel has already been paid for.

Take assisted living at a median cost per lead of $195 (across all care types, medicare + private pay, etc.) and an inquiry-to-move-in rate of 5%. That puts the media cost of a move-in at ~$3,900, plus an actual cost of move-in (time, travel, transport, etc.) of $3,400 = $7,300 against a resident lifetime value ~$165,000.

Those are excellent unit economics (it’s not difficult to see why investors love it) on the 5%.

But the other 95% are the actual asset. Each one has raised their hand, completed a form, answered a call. Some have likely toured or attended an event. Then, they spent 70 to 120+ days thinking through a decision (or, more commonly, electing no decision at all). They didn’t reject you (or choose your competitor); they just decided not to decide.

Now, what happens if you improve inquiry-to-move-in from 5% to 5.5% – a relative improvement of 10%, entirely achievable when the current coverage ratio is 0.16 – and a community filling 40 move-ins a year adds 4 more from identical lead volume? At assisted living lifetime value, that is $660,000 in incremental revenue (and ~$5.28M in enterprise value) added with no additional media spend.

When you put it like that, thinking more carefully + investing more intentionally into email seems pretty smart, huh?

And if you think that math is compelling, check out the math on windows/renovations/home services:

Exclusive window leads run ~$150 and close at 7% – 12%, putting effective acquisition cost between $1,250 – $2,142 on a job worth $8,000 to $25,000+. Solid unit economics. But look at what happens to the leads that don’t close: there is a functioning aged-lead market where 30-day-old window leads sell for ~$20 and closes at 1% – 3%.

Think about that for a minute: a 3rd party with no relationship, no brand equity, and no record of the original conversation is paying cash for your dead leads and converting 1-3 out of every 100 into closed/won buyers. The residual conviction in that list is real, quantified, and traded on an open market.

You have that list right now. For “free” (in the sense that you’ve already paid for it). And instead of trying to push from the ~1% where it’s currently performing into the ~3% where it can, the plan is to send a Halloween promo? Really?

Think about what happens if you move that dead list of 2,000 leads from 1% to 2% conversion rate, simply by re-enrolling them in a better series designed to reduce their hesitancy: 20 deals, at a median cost per deal of $12,000 (which is quite low) = $240o,000 in incremental revenue. Home services businesses can easily run ~55% gross margins and 25% net margins, which means that’s ~$$60,000 in incremental EBITDA for a month, $720,000 in a year – or about ~$5.04M in enterprise value at a 7.0x EBITDA multiple (which is pretty common for platforms above ~$3M in annual net income).

An extra $720k a year in your pocket, just for sending more of the right kind of email.

Not too shabby.

RETENTION IS THE EASY PROBLEM

None of this is to say that keeping your current customers happy (and, for businesses like windows, referring their friends) isn’t important and worthwhile. It is. It just happens to be the easier problem, because there is nothing to retain until somebody has been convinced.

The difficult work in any considered category is never reminding a customer that you still exist; it’s helping to guide a stranger who owes you nothing, who is holding 2/3/4 competing quotes and who is wrestling with a set of unspoken fears, and moving him/her – over 2-4 months, asynchronously, without a salesperson – from interested to ready to sign.

That is an exponentially more difficult challenge than the one email is usually assigned. Solving it is often worth millions.

So, the question is, which problem is your email / SMS program trying to solve?

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