Legal services / Mexico
Evergreen Legal: 36% lower cost per qualified intake.
A legal services campaign improved lead quality by matching urgency, location, and case fit more clearly.
Evidence path
Signal
42%
Before
Signal
18d
Implementation
Signal
3.4x
Outcome
Snapshot
- Market
- Legal services, Mexico
- Primary work
- Paid search, conversion rate optimization, landing pages
- Timeframe
- 8 weeks
- Main signal
- 36% lower cost per qualified intake
Signal quadrants
8 weeks view, normalized for confidentiality and shaped around the main performance signal.
36%
Qualified intake cost
$64
-36%
Qualified call rate
51%
+50%
Page conversion
8.4%
+38%
Case narrative
The story behind the numbers.
Metrics are useful, but they only matter when the operating problem is clear. This is how the work translated from diagnosis into practical growth movement.
What was really happening
The account optimized toward calls without enough visibility into case quality. The visible symptom was not the full problem. The deeper issue was how paid search, conversion rate optimization, landing pages connected to buyer intent, internal follow-up, and the commercial signal the team needed to trust.
What changed operationally
We separated campaign intent, improved page proof and case-fit language, and created intake-quality reporting. The work was shaped around practical movement: clearer priorities, cleaner handoffs, better measurement, and fewer assumptions about what buyers needed next.
Why the result mattered
The firm reduced wasted intake time and shifted budget toward better case types. The value was not only the headline metric. It was the fact that the team had a more usable growth system after the first improvement cycle.
Before and after
What changed when the growth system became easier to operate.
The visual comparison is intentionally normalized because the client identity and sensitive commercial numbers are protected.
Before
The account optimized toward calls without enough visibility into case quality.
After
Campaigns and pages filtered intent earlier and gave intake better source context.
Metric movement
The practical signals we watched.
The comparison below uses normalized values where exact client numbers are sensitive. It still shows the direction of improvement and the type of signal that shaped the next decisions.
Qualified intake cost
Before
$100
After
$64
-36%
Qualified call rate
Before
34%
After
51%
+50%
Page conversion
Before
6.1%
After
8.4%
+38%
Work performed
The engagement focused on the constraint, not a generic channel list.
Paid search produced calls, but intake quality varied heavily and the landing pages did not set expectations.
Separated high-urgency search intent
This gave the team a clearer view of the constraint behind lower cost per qualified intake, instead of treating every channel or page as equally important.
Rebuilt landing page proof
This connected the public buyer journey with the internal operating rhythm, so the next action was easier to choose and measure.
Added qualification language
This reduced ambiguity for the sales or marketing team by turning scattered signals into a more practical decision path.
Created intake-quality dashboard
This created a repeatable improvement loop rather than a one-time campaign change that would be hard to learn from later.
Decision value
How a buyer should use this case.
This page is not a promise that the same result will happen in a different business. It is a decision aid for spotting similar constraints before choosing the next investment.
Are we trying to scale paid search, conversion rate optimization, landing pages before the buyer journey is clear enough?
Can we see which sources, pages, or follow-up moments are producing the best commercial signal?
Would an audit, project build, growth system, or post-launch operations model be the smallest serious way to improve this constraint?
Service stack
The capabilities behind the improvement.
Most case studies are not one-channel wins. The result usually comes from connecting several pieces of the growth system.
Google Ads
Used as part of the operating system behind 36% lower cost per qualified intake, with the work tied back to measurement and next-step decisions.
Landing Page Design
Used as part of the operating system behind 36% lower cost per qualified intake, with the work tied back to measurement and next-step decisions.
Conversion Rate Optimization
Used as part of the operating system behind 36% lower cost per qualified intake, with the work tied back to measurement and next-step decisions.
Reporting
Used as part of the operating system behind 36% lower cost per qualified intake, with the work tied back to measurement and next-step decisions.
Challenge
Paid search produced calls, but intake quality varied heavily and the landing pages did not set expectations.
Strategy
We separated campaign intent, improved page proof and case-fit language, and created intake-quality reporting.
Outcome
The firm reduced wasted intake time and shifted budget toward better case types.
Recommended System
Scale Partner is the closest fit for a similar constraint.
This case involved several moving parts across conversion, data, and operating rhythm. A Scale Partner engagement is usually the right fit when the business needs senior direction and continuous testing.
Engagements typically begin at
$6,500/month+
The right system still depends on budget, internal ownership, sales process, and how quickly decisions can be reviewed.
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Evidence into action
A case study is useful only if it helps you see your own constraint more clearly.
See how disconnected acquisition systems were restructured into measurable operational workflows, then decide whether your next move is audit, build, optimization, or a deeper growth system.
01
Compare the visible symptom
02
Name the operating constraint
03
Choose the smallest serious next step
The work starts with context, not a copied playbook.