Sustainable growth comes from compounding small wins, not silver bullets. Each experiment builds on the last — raising the baseline and creating a permanent advantage over competitors who are still guessing.
34 articles
One honest experiment result can get a growth program funded or gutted. The fix isn't better reporting — it's pre-registration, borrowed from clinical trials.
Repeat visitor tests can lie with a straight face. The dashboard says variant B won, but what it may have found is memory, not lift.
When three teams each claim the same conversion, attributed revenue exceeds reality and budget follows the best dashboard, not the best channel.
Most teams track the wrong activation metric. A practitioner's guide to choosing an activation metric that statistically predicts retention, instrumenting…
A knowledge base doesn't just store past experiments — it's how data beats the HiPPO in decisions.
A program-level A/B testing guide from someone who has run 100+ experiments per year at a Fortune 150 company.
In an era of AI-generated content, proof of work is the only currency of trust. Shipped code and public failures can't be faked.
When something works, double down. But never become dependent on a single acquisition channel.
Atticus Li built Jobsolv from zero to 30,000+ users and $80K+ revenue without paid advertising.
Before building Jobsolv's AI platform, Atticus Li validated the market by offering done-for-you resume services at $2,000-$3,000 per client, serving 26…
You do not need a team, a budget, or a full CRO function to run a disciplined growth operation.
Reciprocity is a foundational principle of human cooperation. Learn how giving value first transforms user acquisition, engagement, and conversion in products.
The sunk cost fallacy keeps users invested in failing products. Learn how this bias affects retention metrics and how to build products worth staying for.
The endowment effect makes users overvalue things they already possess. Learn how this bias shapes SaaS retention, upgrades, and product design decisions.
The ICE framework is popular for prioritizing A/B tests, but it has serious flaws. Learn when to use it and what to replace it with.
Build AI-powered onboarding flows that personalize automatically for each user. Reduce time-to-value and increase activation with intelligent onboarding.
Most win-back campaigns fail because they treat disengagement as a messaging problem. It's a psychological state problem.
Points programs create transactional loyalty, not emotional loyalty. Behavioral economics explains why extrinsic rewards can crowd out the intrinsic…
Most lifecycle email sequences are built around time delays. The best ones are built around behavioral triggers.
By the time a user cancels, the decision was made weeks ago. This article explores how to build churn prediction models that read behavioral signals early…
Most SaaS products lose users before they ever experience value. This article examines the behavioral and economic forces behind the activation gap, why…
When existing customers generate more revenue than departing ones take away, a SaaS business enters a fundamentally different growth trajectory.
Marketing qualified leads are based on demographics and engagement signals. Product qualified leads are based on what users actually do inside the product.
The mathematical reality of diminishing returns in conversion rate optimization explains why early tests produce dramatic gains, why mature programs…
Behavioral segmentation vs. demographic segmentation and why specificity in targeting improves everything downstream.
Self-service vs. high-touch through the lens of decision complexity, perceived risk, and social proof needs.
Creating demand vs. capturing it: different psychological mechanisms, different metrics, different timelines.
Why organic compounds like an investment and paid is linear like an expense, and when each is optimal.
Don Norman's three levels of design processing applied to SaaS: visceral, behavioral, and reflective.
The long-term business cost of manipulative UX: churn, reviews, regulatory risk, and brand erosion.
How grouping users by acquisition date reveals retention, engagement, and revenue patterns invisible in aggregate data.
Mean reversion in marketing channels, the diminishing returns curve, and when to trust your model vs. your gut.
A step-by-step, experiment-driven framework to lower CAC by improving acquisition efficiency, fixing funnel leaks, and increasing customer lifetime value.
Your best sales reps are already on your side. They are your happiest customers, chatting in Slack communities and WhatsApp groups about tools they like.