Hook Matrix · Worked Examples

The hooks from real accounts

The Hooks Are Targeting playbook describes the framework. This is what that framework looks like when it's applied to live accounts — the actual hook lines, the types they belong to, what audience they were pointing at, and what the performance delta looked like when two hook types ran against the same offer.

From

Hooks Are Targeting

Accounts

Flooring · Roofing

Platforms

Meta (FB + IG)

Verticals

Home Services · Lead Gen

Worked example — flooring account

Same offer. Same budget. Different buyers.

This is the hook comparison run on an epoxy garage flooring lead gen account. Mid-market homeowner audience. The same landing page, the same offer, the same spend split — with one variable changed: hook type. The performance difference was not marginal. The audiences the two hooks found were different people at different stages of the buying process.

Curiosity-led hook

"Most homeowners don't know you can transform a garage floor in one weekend."

Hook type 02 — Curiosity

Hook rate High Broad appeal, wider stops

Lead volume High More top-of-funnel entries

Cost / qualified appt. Elevated Higher sales effort to filter

Audience found Mixed Serious buyers + the curious

Direct call-out hook

"If your garage floor is cracked, stained, or you're embarrassed to open the door — this is for you."

Hook type 04 — Direct call-out

Hook rate Lower Fewer stops overall

Lead volume Lower Qualified before the click

Cost / qualified appt. Dropped significantly Shorter path from ad to call

Audience found Frustrated buyer Already at decision point

What changed

One line. The body copy was nearly identical. The offer was the same. The budget split was the same. The hook changed who stopped.

Why it happened

The call-out hook named a specific situation — cracked floor, embarrassment, frustration. Meta read that signal and found people who recognized themselves in it. The qualification happened before the click.

The rule it demonstrates

Lower hook rate from a specific hook can outperform higher hook rate from a broad one. You are optimizing for the right person, not the most people.

Reference — five hook types

Five types. Five different audiences.

Each hook type signals a different emotional state to Meta's algorithm and attracts a different kind of buyer. The right choice depends on where the buyer is in the decision process — not on what sounds best to write. These are brief inputs, not copywriting formulas.

Hook type	Opens with	Home services example	Audience it finds	Meta signal sent
01 — Emotional driver Identity, feeling, or personal state	A feeling or identity the viewer already holds. Product is secondary to who they are or want to be.	"I stopped dreading the kitchen renovation conversation. Here's how we got it done for half what we quoted."	Identity-motivated Emotionally engaged, longer consideration cycle, brand loyalty on conversion	Emotional resonance pattern. Finds people algorithmically similar to prior high-engagement viewers.
02 — Curiosity-led Information gap, something they should know	An information gap attached to a real decision. The viewer suspects they're missing something relevant.	"The reason roofing quotes come back $4,000 apart — and what to ask before you sign anything."	Analytical buyer Problem-aware, solution-uncertain. Needs education before they act.	High dwell time signal. Finds audiences who stop and read — wider reach but mixed intent.
03 — Myth-busting Challenges a belief the viewer holds	A moment of friction. The viewer has to stop because they might be wrong about something they thought they knew.	"Epoxy flooring isn't actually low-maintenance. Here's what most installers don't mention on the estimate."	Skeptical buyer Done some research, has opinions, needs to be challenged before they'll engage	Engagement and comment signal. Finds mid-funnel browsers who've been actively researching.
04 — Direct call-out Names a specific person, situation, or condition	A precise situation. Fewer people stop — but the people who do are almost all the right ones.	"If your bathroom remodel quote came back over $20,000 — read this before you sign."	High-intent buyer Situationally aware, already in the decision window. Lower volume, higher conversion.	High CTR relative to reach. Tight signal — Meta finds people who match the named situation closely.
05 — Problem stack Rapid list of symptoms, no solution yet	Recognition before solution. The viewer feels seen before they know what's being sold.	"Quotes that don't show up. Contractors who ghost. Jobs that take twice as long as the estimate."	Frustrated buyer High emotional urgency. Has been living with the problem. Responds to recognition, not features.	Save and share signal. Finds audiences who've had bad prior experiences — high conversion on retargeting.

Account breakdown — roofing lead gen

Every hook tested. What each was testing for.

11 states · 5 regions · $90k–$240k/mo

These are the hook decisions from the roofing account rebuild — each mapped to its type, its hypothesis, and its deployment logic. The point of the matrix format is that every hook decision is explicit and traceable, not a production guess.

Hook ID

Control (0002)

Hook line

[Spokesperson throws shingle] — Get 50% off your roof replacement this season.

Type

Direct call-out + offer
Type 04

Outcome

Control — baseline
Formula all variants built from

Hook ID

Script Var. 01

Hook line

"Homeowners across the country are upgrading at half the cost."

Type

Social proof open
Type 02 hybrid

Outcome

Winner
Normalizes decision via national volume

Hook ID

Script Var. 02

Hook line

"The last roof you'll need to think about for the next 30 years."

Type

Investment frame
Type 01 hybrid

Outcome

Winner
Shifts buyer from cost-avoidance to asset thinking

Hook ID

Script Var. 03

Hook line

"Over 200,000 roofs installed. Here's why homeowners keep calling back."

Type

Authority-first
Type 03 hybrid

Outcome

Winner
Tests credibility number as entry point

Hook ID

3-Req. Format

Hook line

"3 things you need to qualify for 50% off your roof — check all three."

Type

Qualifier call-out
Type 04 — tight zip

Outcome

Winner
NE + C. Penn. only — set rate improvement

Hook ID

State callout (all regions)

Hook line

"If you're a homeowner in [State], you may qualify for 50% off your roof replacement."

Type

Geographic call-out
Type 04 — geo

Outcome

Applied all regions
Pre-qualifies geographic intent before click

Hook ID

Hook swap

Hook line

[Different spokesperson open — same formula from Part 02 onward]

Type

Presenter variation
Type 04 variant

Outcome

Testing
Hook vs. formula — is the presenter the driver?

What this demonstrates

Three things a hook matrix makes explicit

Hook type is the audience decision — not a copy decision

Choosing between curiosity-led and direct call-out is choosing which buyer segment to reach, not which line sounds better. The flooring comparison shows that same offer, same budget — different hook type — found different people. That's a targeting decision made in the brief, not in production.

Lower hook rate is not always the wrong answer

The direct call-out in the flooring account had a lower hook rate and lower raw lead volume. It produced a significantly lower cost-per-qualified-appointment. Optimizing for hook rate in isolation finds more people — not necessarily the right ones. Set rate and cost-per-qualified-outcome tell the fuller story.

The matrix format makes each decision traceable

When every hook is mapped to its type, hypothesis, deployment logic, and outcome — the account builds institutional knowledge across rounds. The next brief is informed by what the previous one learned. Without the matrix, you're relaunching from intuition each time.