Most tests produce noise, not signal. We build structured experimentation systems where every hypothesis ties to revenue, every variable is isolated, and every result is evaluated against financial impact. Not more tests. Better ones.
Trusted by 60+ growth-stage brands
Most experimentation programs produce noise. Hypotheses are unclear, variables overlap, evaluation windows shift mid-test, and conversion lifts get celebrated without checking whether revenue actually moved. Without disciplined structure, more tests do not mean more wins. They mean more guessing dressed up as data.
Every test starts with a precise hypothesis tied to revenue. We identify the highest-impact opportunities across landing pages, product pages, checkout flows, and ad-to-page alignment. One variable per test. Defined success thresholds before launch. Pre-set evaluation windows. The framework is what makes the results trustworthy.
Not every test deserves your traffic. We score opportunities by potential revenue impact, traffic volume, and confidence level. High-traffic pages, drop-off points, and revenue-critical steps get tested first. The result is an experimentation roadmap where every test earns its slot.
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A/B testing replaces opinion with measurable validation. We define success criteria before deployment, run tests against statistically significant traffic, and evaluate winners against financial outcomes, not just lift percentages. Discipline turns experimentation from theater into a system that compounds.
Tests run within pre-defined evaluation windows to prevent premature calls. We monitor statistical significance, conversion trends, and revenue impact across controlled traffic thresholds. Winners get implemented methodically. Losers get killed quickly. Every result documented with financial context, not vanity percentages.
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Every engagement runs on the same disciplined process: prioritized hypothesis, isolated variables, pre-set thresholds, controlled traffic, financial evaluation. The framework is repeatable, which means improvements compound quarter after quarter.
We do not evaluate tests on percentage lift alone. Every outcome is measured against revenue per visitor, acquisition efficiency, and contribution margin. A variation that improves conversion rate but drops average order value is not a win. Profitability is the only measure that matters.
Cion was running tests in isolation with unclear hypotheses, overlapping variables, and no financial lens. We installed a disciplined experimentation system: prioritized hypotheses, isolated variables, pre-set significance thresholds, and revenue-anchored evaluation. Winning angles surfaced within four weeks. The compounding wins delivered 90% revenue growth, 4.9x ROAS, and a 41% reduction in CPA. Structure made every test count.
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"We partnered with Lion Media 6–7 months ago to boost our marketing and sales, and since then we've seen a 3X increase in sales. Their creative strategies expanded our reach across all demographics and improved both online and print marketing efforts. Frank’s leadership has brought strong results, and we’re excited for continued growth."
"Working with the team at Lion Media has been essential for starting and growing my online business. Great work ethic, understanding of advertising industry and professional feedback is what you can expect at Lion media."
"We love being partners with Lion Media and will continue to do so."
"I cannot recommend Lion Media highly enough. Since working with Lion Media we've seen our top line revenue more than double."
Lion Media took over our marketing six months ago and tripled our revenue. Frank has worked tirelessly to get our CBD products on Meta and Pinterest, no small feat in this industry. We've been very happy with his service and congratulate him on his success.
"We work in highly regulated space, and paid channels are tough to navigate. LionsMedia handled it brilliantly, strategic, proactive, and always finding a way to make things work. Their entire team was responsive and great to work with"
Organic search channels that compound alongside paid reducing blended CPA over time.
Landing page and funnel optimization that maximizes the conversion rate of every ad click you pay for.
Static and video ad production built around testable hypotheses and systematic scaling of winners.
The data infrastructure that makes every optimization decision reliable not guesswork.
Organic social presence aligned with your paid strategy for consistent audience messaging.
E-commerce and landing page builds optimized for the traffic your Meta campaigns send.
Real results from brands we have scaled on Meta, Google, TikTok, and across full-funnel systems.
The full suite of growth services available as a coordinated system or individual engagements.
The right answer is rarely more. For most DTC brands, 2 to 4 well-designed tests per month outperforms 12 sloppy ones. Volume only helps if every test is structured to learn something. Otherwise it just creates noise and fatigues your traffic.
Three reasons: insufficient traffic to reach statistical significance, weak hypotheses that produce small effects, or overlapping variables that muddle the signal. The fix is upstream, in test design, not downstream in tooling.
As a baseline, around 10K+ monthly sessions on the page being tested usually allows reasonable test cycles. Below that, hypotheses need to predict larger effects, tests run longer, or qualitative methods become more valuable than pure A/B.
Highest-traffic landing pages, product detail pages, add-to-cart and checkout flows, and ad-to-page alignment for major paid campaigns. Anywhere a small relative lift produces meaningful absolute revenue.
We work with whatever stack you already use: VWO, Optimizely, Google Optimize successors, GrowthBook, Statsig, Shopify Scripts, or platform-native split testing. The framework is platform-agnostic. The discipline is what matters.
Revenue per visitor, average order value, contribution margin, and acquisition efficiency. A conversion lift that drops AOV by 15% is not a win. We evaluate every variant against the financial outcome that matters for your business, not surface-level percentages.
Your current experimentation backlog, hypothesis quality, variable isolation discipline, traffic allocation, evaluation methodology, and how outcomes map to financial impact. We surface what is leaking confidence in your testing program and what to fix first.
If your testing program is producing more noise than signal, the problem is structure. We will audit your experimentation backlog, surface the gaps, and show you what it would take to turn testing into a system that compounds revenue, not just generates dashboards.
Works best for DTC brands with 10K+ monthly sessions on key pages. The audit alone usually surfaces enough testing leverage to justify the engagement.
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