Calculators, playbooks, templates, and benchmarks — written by operators who run growth, not by content marketers writing about it. Filter by role to see what maps to your quarter.
Interactive calculator, benchmark report, or a personal stack review — each one takes 10 minutes and shows you the consolidation math specific to your team.
Enter what you pay Optimizely, Crayon, Hotjar, and Ahrefs today. See what Optimize Pilot would cost instead — and how many headcount the delta covers.
Our forthcoming report on how Series A–C teams assemble, pay for, and struggle to keep track of their growth stacks. Join the waitlist for early access.
A founder records a 20-minute Loom reviewing your current tool stack with concrete consolidation recommendations. No pitch — just the numbers.
Enter what you pay Optimizely, Crayon, Hotjar, and Ahrefs today. See what Optimize Pilot would cost instead — and how many headcount the delta covers.
Enter your baseline conversion rate, minimum detectable effect, and weekly traffic. Get the required sample size per variant and an estimated test duration.
Series A to Series C. Which growth investments compound, which plateau, and how the highest-performing teams structure their first 18 months post-funding.
How high-performing CRO teams ship more experiments without sacrificing statistical rigor. Includes the idea-to-ship workflow we see work in practice.
From ad-hoc screenshots to a weekly intelligence briefing your CEO actually reads. The org chart, the tooling, and the distribution cadence.
How agencies are reselling optimization as a productized service. Pricing, positioning, reporting, and the workflow to manage 20+ client experiments in parallel.
The exact PDF layout Optimize Pilot ships on the 15th of every month — annotated so you can produce it manually until you switch.
The Friday-afternoon email template: pricing moves, positioning shifts, landing page diffs, recommended responses. The format we use for competitive briefings.
The one-page brief every test should start from: hypothesis, variants, sample size, success metric, guardrails. Notion + Google Doc versions inside.
P-values without the jargon. When to use Frequentist vs Bayesian. When to stop a test early without lying to yourself. A practical primer for CRO teams.
Identify every keyword your top three competitors rank for that you don't. The exact workflow, the tools, and the template to ship it by end of day.
A step-by-step audit to identify overlap, redundancy, and hidden costs in your current growth stack. Works whether you end up consolidating or not.
Every Series A company we talk to has 5–7 overlapping tools. Here's the 90-day consolidation plan that doesn't break testing velocity.
The teams that ship the most tests also watch their competitors the closest. Why CI and CRO are the same muscle, and how to build both.
Testing infra pays for itself on the second winner. Here's the math, the benchmarks, and a calculator to run your own numbers.
Plumbers, law firms, agencies — service SEO is a different game. Local intent, schema, and the on-page patterns that outrank national brands.
What the highest-performing Series A–C companies do that the rest miss, and how to structure the first months post-funding.
Using the three SERP tools you already pay for. End the day with a ranked list of keywords your competitors own and you could steal.
Stack sprawl is the hidden tax on testing velocity. The case for consolidation, the objections, and how to make it happen without a re-platform.
The honest answer depends on your baseline conversion rate, minimum detectable effect, and power — not a round number. Why most sites underestimate it.
Four cases where running a test is the wrong move — too little traffic, no hypothesis, a tiny effect, a high-stakes page at peak — and what to do instead.
Bottom-up keyword strategy, comparison and alternative pages, topical clusters, and what to do when the site is too new to rank yet.
Where AI genuinely shortens the CRO loop, where it does not, the "know when not to test" wedge, and how to keep AI recommendations honest.
CI is the ethical, systematic use of public competitor signals — and for growth teams it feeds positioning, pricing, and the test backlog. The four signals to watch and how to build the loop.
What to watch, how often, where manual tracking breaks down, and how to automate change detection — then turn each meaningful move into a test.
Generate many pages from one template plus data to capture long-tail demand — when it works, when it becomes thin-content spam, and a worked example from our own comparison pages.
A new domain has no authority and little traffic, so generic SEO advice fails. The bottom-up, winnable-long-tail plan for early-stage SaaS — and why SEO comes before CRO.
The full platform. 90-day money-back guarantee, no questions asked. Every calculator and playbook on this page ships as a live dashboard inside the product.