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Conversion Rate Optimization
A/B TestingUX AuditsFunnel Analysis

转化率优化服务

将您现有流量转化为收入

34%
Avg. Conversion Lift
Across client engagements
200+
Tests Shipped
SaaS & ecommerce
< 4 wk
First Test Live
From kickoff
3.2×
Avg. ROI
Within 90 days
What Is Conversion Rate Optimization?

CRO is the process of getting more of your existing visitors to do what you actually want — buy something, sign up, request a demo. It combines analytics, user research, and A/B testing to find where your funnel breaks down and fix it with something that works better. The compounding effect is real: each improvement makes every future visitor worth more.

项目失败的原因

You're spending $50K+/month on paid acquisition and your landing pages are converting below 2% Every month you wait is budget that could be generating 30-50% more revenue.
Your SaaS trial-to-paid conversion is stuck under 5% and you can't pinpoint why Competitors with tighter onboarding are scooping up the same leads at a lower CAC.
Product and marketing can't agree on what to change, so decisions come down to whoever argues loudest You ship a redesign that looks great, it performs worse, and you've just burned weeks of engineering time.
Cart abandonment is sitting above 70% and your recovery emails aren't doing much You're hemorrhaging revenue at the last step while spending more to fill the top of funnel.
You've never run a statistically valid A/B test — changes just ship You can't tell what's working from what's noise, so regressions slip through unnoticed.
Mobile converts at half the rate of desktop, but 60% of your traffic is mobile You're essentially paying double for every mobile visitor.

合规

Full-Funnel Analytics Audit

We instrument your entire funnel with event tracking and identify exactly where users drop off. You get a prioritized list of leaks, ranked by revenue impact.

Heatmap & Session Recording Analysis

We deploy Hotjar or PostHog to record real user behavior — clicks, scrolls, rage clicks, dead zones. Those patterns go straight into our test queue as hypotheses.

Hypothesis-Driven A/B Testing

Every experiment starts with a written hypothesis, an expected lift, and a statistical power calculation. We run tests in Statsig or PostHog and don't call results until they're valid.

Landing Page Redesign & Build

We design and build high-performance landing pages in Next.js, tuned for Core Web Vitals and conversion. No drag-and-drop templates — actual engineering.

SaaS Onboarding Optimization

We map your activation flow, find time-to-value bottlenecks, and test changes to onboarding steps, empty states, and upgrade prompts. The goal is getting more users to their aha moment, and getting them there faster.

Ecommerce Checkout Optimization

We tackle cart abandonment through checkout simplification, trust signal placement, payment option expansion, and shipping cost transparency testing.

我们构建的内容

Quantitative Funnel Analysis

Segment-level drop-off analysis across acquisition channels, device types, and user cohorts — so you know exactly where revenue's leaking and why.

Qualitative User Research

Five-second tests, user interviews, and surveys to understand the why behind what behavioral data shows.

Rapid Prototyping in Figma

Interactive prototypes for stakeholder alignment before any code gets written. Kill bad ideas early, deliberately.

Server-Side A/B Testing

Flicker-free experiments rendered at the edge, so testing doesn't degrade page performance or skew your results.

Revenue Attribution Reporting

Monthly reports tied to incremental revenue — not click-through rates or other metrics that don't pay the bills.

Continuous Test Velocity

We keep a prioritized backlog and ship 4-6 tests per month, stacking gains quarter over quarter.

我们的流程

01

Audit & Instrument

We audit your analytics, fix tracking gaps, deploy heatmaps, and build a baseline conversion model. You get a research report with your top 10 revenue opportunities.
Week 1-2
02

Hypothesize & Prioritize

We score opportunities using ICE (Impact, Confidence, Effort) and build a 90-day test roadmap. Each hypothesis includes expected lift, target segment, and success criteria.
Week 2-3
03

Design & Build Tests

We design variants in Figma, build them in Next.js or your existing stack, and configure experiments with proper statistical controls. Everything gets QA'd on real devices before anything goes live.
Week 3-4
04

Run & Analyze

Tests run until statistical significance is reached — no peeking, no early calls. We analyze results by segment, document what we learned, and ship winners to production.
Week 4-6
05

Iterate & Compound

Winning tests feed the next round of hypotheses. We update the roadmap monthly and present revenue impact reports. The cycle gets faster as we build up knowledge of your users.
Ongoing
Next.jsVercelPostHogGoogle OptimizeHotjarStatsigSupabaseFigma

常见问题

我们多久能看到 CRO 的效果?

大多数客户在 4-6 周内看到第一个具有统计显著性的结果。有意义的收入影响通常在 90 天内随着获胜测试的堆积而逐步显现。速度取决于您的流量量——更多流量意味着更快达到统计显著性和更快的迭代周期。

A/B 测试的最低流量要求是多少?

您需要至少 10,000 的月访问者访问被测试的页面。低于这个数字,测试需要太长时间才能达到统计显著性。对于低流量网站,我们使用用户测试、启发式分析和序列测试来推进工作,而无需等待数月的数据。

你们是否支持我们现有的分析工具?

支持。我们与 GA4、Mixpanel、Amplitude、PostHog、Segment 以及大多数主流分析平台合作。如果您的追踪存在漏洞(这通常都会有),我们会在审计期间修复检测工具。我们推荐适合您现有技术栈的工具,而不是我们自己的工具。

CRO 与网站重新设计有什么区别?

重新设计会一次性更改所有内容,这通常基于猜测。CRO 针对单个变更与当前基准线进行测试,仅交付可测量的表现更好的内容。重新设计经常会降低转化率,因为太多变量同时发生变化。我们倾向于采用增量式、以证据为基础的改进。

如果测试失败了——我们还需要付费吗?

需要。但失败的测试不会被浪费。它们能阻止您交付本会伤害收入的东西,并为下一个测试生成真实见解。我们的工作是运行大量经过深思熟虑的实验。行业胜率约为 20-30%——我们始终保持在 35-40% 之间。

你们能专门优化我们的 SaaS 入门流程吗?

当然可以。SaaS 入门是我们的核心关注领域之一。我们绘制您的激活漏斗,找到用户在达到「灵光乍现」时刻之前放弃的位置,并在入门步骤、空状态、提示、电子邮件序列和升级提示中测试变更。试用到付费转化通常是我们处理的最高杠杆指标。

CRO Engagements from $6,000/month
Fixed monthly fee. No hourly billing. Cancel anytime after 90 days.
See all packages →
Next.js DevelopmentCore Web Vitals OptimizationEcommerce DevelopmentCore Web Vitals Complete Guide 2026

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