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Find the actual hesitation
We compare analytics with recordings, surveys or customer conversations when appropriate. Each source has limits; a pattern is more useful than one unusual session.

SHARP LYNX / Marketing services
Get more from the traffic you already pay for.
What this means for your business
Before changing a button or redesigning a page, we ask where customers get stuck and what evidence supports that explanation. Conversion optimization combines customer feedback, behavior data and carefully chosen tests rather than treating every design preference as a growth idea.
Most useful when there is enough traffic or customer feedback to identify patterns. With low traffic, research-led fixes can be more practical than waiting for a statistically useful split test.
Find your starting pointThe problem
Rising ad costs with flat conversion rates.
Design changes based on opinion, not evidence.
No clear view of where visitors drop off.
The decisions behind the work
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We compare analytics with recordings, surveys or customer conversations when appropriate. Each source has limits; a pattern is more useful than one unusual session.
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A good hypothesis names the problem, the proposed change and the outcome expected. We prioritize the changes that are important enough to learn from.
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Not every experiment produces a winner. We agree test duration and decision criteria beforehand, avoid stopping early for a favorable result and record what remains uncertain.
Our approach
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Analytics, heatmaps, session recordings and customer feedback.
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Prioritized ideas ranked by impact, confidence and effort.
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Controlled experiments with proper sample sizes.
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Every result documented so wins and losses inform the next test.

A practical start
Clear access, current information and agreed responsibilities keep the work moving. We confirm the requirements before the project begins.
Included
Workflow example
Measurement, not guesswork
We review the primary conversion measure and any guardrails, such as lead quality or order value. Seasonality, sample size and traffic mix matter, and a test result does not automatically apply to every audience.
Leads
1,284
▲ 18.2%
CPL
$24.10
▼ 9.4%
ROAS
4.6x
▲ 0.7x
Revenue
$148k
▲ 22%
Spend
$30.9k
▲ 6.0%
Conv. rate
6.8%
▲ 1.2pt
Traffic
42.7k
▲ 11%
Appointments
214
▲ 15%
Funnel performance
Weekly spend
FAQ
Enough to reach meaningful results in a reasonable time. With lower traffic we focus on research-led fixes instead of split tests.
We document the result and its limitations. A losing or inconclusive test can rule out an assumption, but we do not present it as a success or keep running it without a useful next question.
Connect the next piece
End-to-end systems that attract, capture and qualify leads your sales team actually wants.
Landing pages and conversion paths designed around one audience, one offer, one action.
Reliable events, channel reporting and customer-level measurement for better budget decisions.
Tell us what is working, what is getting in the way and what a useful next step would look like for your business.