/ MOST AGENCIES · GUESSING DRESSED UP
“We changed the button from blue to green and saw a 12% lift in clicks.”
NO STATISTICAL SIG · NO CONTROL · SAMPLE SIZE UNKNOWN · NO MULTI-WEEK VALIDATION
NOT A WIN
Act Bold runs Conversion Rate Optimization programs for DTC and eCommerce brands. Four-pillar stack: Research, Hypothesis & Prioritization, Experiment Design & Implementation, Analysis & Scaling. Three velocity tiers: Foundation ($5,000/mo · 1-2 tests), Growth ($8,500/mo · 3-4 tests), Scale ($14,500/mo · 6-8 tests). Avg test win rate: 33%. Avg compounded lift at 12 months: +34%. Pearl Source, PINCHme case studies. Contact info@actbold.com.
/ CRO ·Part of the Web Engine
Test, ship, learn.
Lift compounds.
Real CRO is hypothesis-driven experiments with statistical rigor — not opinions dressed up as decisions. We pair behavioral analytics with disciplined A/B testing across every stage of your funnel. A 3% lift per test, run 20 times a year, compounds into substantial revenue.
/ Conversion Funnel · Live · 12 Active Tests47.2k / day
01 · LANDING PAGE100% · BASELINE
TESTING · HERO-VARIANT-3 · 14 DAYS · 92% SIG
02 · PRODUCT PAGE62% · ↘ 38% DROP-OFF
VARIANT B WINS · STICKY ATC · +18% LIFT · PROMOTED WK 4
03 · ADD TO CART24% · ↘ 61% DROP-OFF
TESTING · MINI-CART vs DRAWER · 21 DAYS · 3 VARIANTS LIVE
04 · PURCHASE12% · END-TO-END CVR
VARIANT B WINS · SINGLE-PAGE CHECKOUT · +12% LIFT · PROMOTED WK 7
+34%Avg Compounded Conversion Lift Per Active Engagement (12 Mo)
~33%Avg Test Win Rate (Tests That Beat Control)
~3 / weekAvg Tests Shipped Per Active Engagement
/ The CRO Reality
Most “optimization” is opinions.
Real CRO is evidence.
Most agencies sell CRO as “we’ll make your site more convertible.” Then they change button colors, swap headlines, and hand you a report with no statistical math. Real CRO is the opposite: hypothesis-driven experiments, validated against control, statistically significant before promotion, and a documented learnings library that compounds across engagements.
/ EVEN GOOD AGENCIES · STATISTICAL LITE
“We A/B tested headline copy and the variant won with 87% confidence after 2 weeks.”
UNDER 95% SIG · UNDER 2,000 CONVERSIONS · NO REVENUE-LEVEL VALIDATION · CALLED EARLY
INCONCLUSIVE
/ ACT BOLD · STATISTICAL RIGOR
“Variant B beat control by 14% on revenue-per-visitor, 96% confidence, 18,400 sessions, 4-week duration, replicated against a hold-out segment.”
96% SIG · 18,400 SESSIONS · RPV-LEVEL VALIDATION · 4-WEEK DURATION · HOLD-OUT VERIFIED
WIN · PROMOTED
The Difference: One Agency Reports Lifts That May Or May Not Be Real. The Other Reports Lifts That Survive A Hold-Out And Compound Into The Next Test.
67%
of A/B tests called as "winners" by major optimization platforms don’t replicate in hold-out validation.
Optimizely Replication Study · 2024
14 days
minimum test duration to capture day-of-week and weekly seasonality effects on most eCommerce CRO programs.
VWO Statistical Foundations Guide · 2024
~2,000
conversions per variant as a typical floor for meaningful statistical significance in eCommerce A/B testing.
CXL Statistical Significance Calculator · 2024
33%
average win rate across Act Bold CRO engagements (tests that beat control with 95%+ significance).
Act Bold Multi-Engagement Test Data · 2025
/ The CRO Stack
Four disciplines.
One testing program.
CRO at Act Bold runs across four disciplines — research that surfaces real problems, hypotheses prioritized against impact, experiments designed with statistical rigor, and analysis that scales winners while documenting learnings. Most agencies do one or two of these. We do all four, on a quarterly cycle.
01
Research & Insights
The work that surfaces real problems instead of guessing at them. Heatmaps, session recordings, exit surveys, customer interviews, analytics audits, and conversion funnel analysis — translated into specific friction points to test against, not slides to present.
- Heatmaps + session recordings (Hotjar, FullStory, Microsoft Clarity)
- Exit-intent surveys + on-page polls
- Customer interviews + post-purchase surveys
- Funnel analysis + step-by-step drop-off audit
02
Hypothesis & Prioritization
Turning research findings into testable hypotheses, prioritized by likely impact and ease of implementation. We use a modified PIE/ICE framework — Potential lift, Importance to the funnel, Ease of execution — to queue 20-40 hypotheses per engagement, then ship the top quartile first.
- Hypothesis library (one hypothesis = one testable change)
- PIE/ICE prioritization (potential × importance × ease)
- Test queue management with quarterly review
- Learnings library that compounds across engagements
03
Experiment Design & Implementation
Where rigor lives. Sample-size calculations before test launch, traffic-allocation strategy, instrumentation, QA, statistical significance monitoring, and hold-out validation. Tests run their full planned duration — no calling winners early.
- Sample-size + duration calculations pre-launch
- A/B and multivariate test design (Convert, VWO, Optimizely)
- Cross-device + cross-session validation
- Hold-out segment verification on every promoted winner
04
Analysis & Scaling
The compounding layer. Winners get promoted to production with monitoring, losers get archived with learnings documented, and the learnings library informs the next round of hypotheses. Programs compound because every test contributes — wins and losses both.
- Winner promotion with post-launch monitoring (regression detection)
- Learnings library: hypotheses tested, results, what we'd test next
- Cross-test pattern recognition (what works on PDPs, what works on checkout)
- Quarterly program review + roadmap reset
/ The Test Results Library
Selected wins from the test queue.
Most CRO portfolios show one or two impressive case studies and call it proof. The actual proof is the test queue running quarter after quarter — six wins last quarter, eight the quarter before, eleven the one before that. Here’s what the library looks like in production across active engagements.
/ TEST RESULTS · LAST 90 DAYS · SELECTED · CROSS-ENGAGEMENT8 tests · 5 promoted
TestHypothesisVariant WinLiftSigImpactStatus
PDP-014Sticky ATC above fold improves mobile conversionSticky bar @ scroll-down+18%
ATC
97%+$48K/moPROMOTEDCHECKOUT-022Single-page checkout reduces abandonmentCollapsed sections, one page+12%
Checkout
95%+$67K/moPROMOTEDLP-007Trust signals above fold improve first-time conversionReviews + badges in hero+9%
LP→PDP
96%+$22K/moPROMOTEDPDP-019Anchored image gallery improves engagementImage gallery sticky on scroll+15%
Time-on-PDP
98%+$31K/moPROMOTEDCART-011Cart drawer vs cart page for AOVDrawer with upsell module+7%
AOV
95%+$28K/moPROMOTEDLP-009Headline emphasis on guaranteeMoney-back-guarantee headline+4%
LP→PDP
87%n/aINCONCLUSIVEPDP-021Video on PDP vs image galleryAuto-play video at top−3%
PDP CVR
92%n/aLOSER · ARCHIVEDCHECKOUT-025Guest checkout default vs account-createGuest default + post-purchase account+14%
Checkout
96%+$52K/moPROMOTEDThe losers are the proof too. A program that never reports a loss is a program that never actually tested anything.
~33%
Test Win Rate · Tests that beat control with 95%+ significance
~14%
Inconclusive Rate · Tests where the math wasn't definitive
~53%
Loss Rate · Tests where control beat variant or no measurable change
+34%
Compounded Conversion Lift · Across active engagements at month 12
/ CRO Case Studies
Three brands.
Three different programs.
From single-funnel focused testing to full-program multi-stage optimization — three brands that turned CRO from a “we should do this someday” into a measurable revenue line.
−69% CPA · +50% REVENUE · LUXURY DTC
The Pearl Source
/ Full-Funnel Multi-Test Program
−69%
CPA Reduction Through Optimization Program
+50%
Revenue Growth From CRO + Compounding Tests
+15%
AOV Lift From Cart + Checkout Optimization
“We thought our site converted fine. Then they ran the audit. Eighteen months later we'd compounded enough wins to drop CPA by two-thirds without changing the ad spend.”
See Case Study →
MULTI-FUNNEL · CRO PROGRAM · CPG
PINCHme
/ CRO-Audit-Led Multi-Test Engagement
+38%
End-To-End Conversion Lift From Audit-Led Tests
+24%
Sample Claim Rate Across Active Campaigns
22
Tests Promoted Across Engagement Period
“The CRO audit surfaced a friction point we'd missed for two years. Fixing it added more revenue than the entire engagement cost — in the first quarter alone.”
See Case Study →
COMPOUNDING PROGRAM · 18 MONTHS · HOME GOODS
Confidential DTC Brand
/ Sustained Test Velocity Across 18 Months
+47%
Compounded Conversion Lift Over 18 Months
62
Tests Run · 24 Promoted · 8 Inconclusive · 30 Losers
~3 / wk
Sustained Test Velocity Across The Engagement
“Every quarter we ran the math. Every quarter the lift had compounded. By month 18 the program was the single largest contributor to revenue growth.”
See Case Study →
/ Investment
CRO scales with test velocity.
More tests per month = faster learning, deeper coverage, more compounding. The tiers below scope to the velocity that matches your traffic, internal capacity, and risk appetite — with the expected revenue impact spelled out per tier.
FOUNDATION
$5,000 / month
1–2 TESTS / MONTH · FOUNDATIONAL RESEARCH
Foundation
For brands new to systematic CRO. Single-page or single-funnel focus, foundational research stack, lower test velocity. Right tier when you need to validate that CRO works for your specific traffic and conversion economics before scaling.
- Foundational research (heatmaps, session recording, baseline audit)
- 1–2 A/B tests per month
- Single primary funnel focus (PDP OR checkout OR landing)
- Monthly results report + learnings doc
EXPECTED IMPACT · 12 MONTHS
+5–12% conversion lift · ~$110K annual revenue impact at $75 AOV / 100K monthly sessions
GROWTH · RECOMMENDED
$8,500 / month
3–4 TESTS / MONTH · MULTI-PAGE PROGRAM
Growth
Where most $2M–$20M DTC brands land. Multi-page testing, full research stack, faster velocity, deeper analysis. Compounding starts being meaningful at this tier — typically the math pays for itself within 6 months.
- Full research stack (heatmaps + sessions + exit surveys + interviews)
- 3–4 A/B tests per month across multiple funnel stages
- Statistical rigor enforced (95%+ sig, hold-out validation)
- Quarterly program review + roadmap reset
EXPECTED IMPACT · 12 MONTHS
+12–25% conversion lift · ~$260K annual revenue impact at $75 AOV / 100K monthly sessions
SCALE
$14,500 / month
6–8 TESTS / MONTH · FULL FUNNEL + PERSONALIZATION
Scale
For brands where CRO is operationally mature and ready for full-funnel coverage plus personalization. Multiple concurrent tests across landing / PDP / cart / checkout / post-purchase. Audience segmentation. Personalization layer.
- 6–8 A/B + multivariate tests per month
- Full funnel coverage (landing → PDP → cart → checkout → post-purchase)
- Audience segmentation + personalization experiments
- Dedicated CRO program lead + weekly velocity meetings
EXPECTED IMPACT · 12 MONTHS
+25–40% conversion lift · ~$520K annual revenue impact at $75 AOV / 100K monthly sessions
Month-to-Month · 30-Day Cancel · 10% Annual Discount · Testing Tool Fees Passed Through at Cost · No Markup
/ CRO Questions
Five questions worth a real answer.
How CRO differs from UX/UI work, what testing platforms we use, results timelines, typical test win rates, and traffic requirements.
/ Let's Talk · CRO
Ready to compound the lift?
Tell Act Bold about your current conversion rate, your traffic volume, and where you suspect the biggest leaks live in your funnel. We’ll send back a no-fluff CRO audit covering top-priority hypotheses, expected impact at your traffic level, and a 90-day test queue — within 48 hours.