Experiment Design
Build hypotheses from observed friction and choose an appropriate test method based on traffic, conversion volume, business risk, and the size of the proposed change.
Black Tie Marketing Group helps Cincinnati-area businesses diagnose message, usability, form, mobile, trust, tracking, and lead-handoff problems—then choose the testing or implementation method the available data can support.
A/B testing is one tool, not the definition of conversion optimization. The first job is finding the most credible explanation for why qualified visitors are not taking the next step.
Build hypotheses from observed friction and choose an appropriate test method based on traffic, conversion volume, business risk, and the size of the proposed change.
Use analytics, recordings, heatmaps, form behavior, device data, support questions, and sales feedback where available to understand where qualified visitors struggle.
Use interviews, surveys, call notes, objections, lost-deal reasons, and frontline feedback to uncover issues that click data alone may not explain.
Improve message match, offer clarity, calls to action, proof, forms, mobile usability, and the path from campaign or search intent to the next step.
Address confusing navigation, unnecessary steps, broken interactions, accessibility issues, page-performance problems, and decision friction that can block conversion.
Define the conversion events that matter, verify tracking, separate qualified from unqualified actions, and connect website behavior to downstream outcomes when possible.
The highest-value CRO work is usually where meaningful traffic and meaningful business decisions intersect.
Prioritize pages that receive meaningful paid, organic, local, referral, or direct demand and influence a measurable business action.
Review field requirements, error handling, mobile usability, qualification logic, scheduling friction, confirmation steps, and lead routing.
Compare real mobile behavior, speed, tap targets, readability, call access, sticky actions, and form completion rather than assuming one universal mobile-traffic percentage.
Check whether claims, credentials, reviews, policies, pricing context, process explanations, and objection handling are accurate and available at the point of decision.
Statistical language does not make weak data reliable. A responsible CRO process chooses the method based on the traffic and conversion volume available, documents the hypothesis, and avoids overclaiming what one experiment proves.
Landing Page OptimizationThere is no universal conversion rate that defines success. A service inquiry, ecommerce purchase, phone call, newsletter signup, and high-ticket consultation have very different intent and friction. Use your own qualified-conversion baseline and compare changes under similar traffic conditions.
No. Controlled experiments are useful when the site has enough traffic and conversions to produce a meaningful comparison. Lower-volume sites may need to rely more on usability findings, qualitative research, clear technical fixes, staged changes, and careful pre/post measurement.
There is no fixed timeline. Implementation can be quick for obvious defects, while trustworthy testing may require enough qualified traffic and conversions to learn from. The plan should match the traffic volume, customer decision cycle, test risk, and business value of the change.
Prioritize issues using potential business impact, traffic or opportunity volume, evidence of friction, implementation effort, confidence in the diagnosis, and whether the business can measure the result. High-value bottlenecks should generally be addressed before cosmetic changes.
No. Black Tie does not guarantee a percentage lift, form increase, bounce-rate reduction, or test win rate. The goal is to improve decision quality and website performance through evidence, measurement, and controlled changes where appropriate.
Start with the baseline, customer intent, evidence of friction, measurement quality, and the test method your traffic can actually support.