Problem · Owners
Our buyers read the docs, try the product, and never talk to sales.
You sell to engineers, and engineers do not book demos. They read the documentation, run the trial, check the changelog, and ask a peer. By the time one of them talks to a human, they have decided, and half the time they decided against you for a reason nobody on your side ever heard. Marketing to that buyer with a marketing voice makes it worse. Building for the way they actually evaluate is the only thing that works.
How people search thismarketing to developers who hate marketing · technical buyers do not book demos · developer tool pipeline without sales calls · how to sell to engineers who evaluate with docs · b2b technical marketing content engineers read
Excitation at $5,000 a month when the site exists and paid demand does not. Amplification at $10,000 when the founder is still the only person booking meetings and the buying committee includes an engineering lead who has to be reached on their own terms, with an outbound seat and a meeting number in writing. Pricing is published.
How an engineer actually buys
The evaluation happens on your site and off your calendar. Docs first, then pricing, then a comparison against the two alternatives they already know, then a trial in a sandbox, then a question in a community where you are not present. Every one of those steps is a page you either wrote or did not. A site that hides pricing behind a form loses the visit at step two. A docs section that reads like marketing loses it at step one. The buyer is not avoiding you. They are doing diligence in the order that makes sense to them, and most vendor sites are built in a different order.
Build for the order they evaluate in
Documentation and pricing one click from anywhere. Comparison pages that are honest about where the alternative wins, because an engineer who catches one dishonest line discounts the whole site. Integration pages, one per system they already run. How it works pages written by someone who can read a changelog, structured so the AI engines that now answer developer questions can cite them. Then paid search on the specific terms, steered by cost per qualified meeting, so the one engineer who does want to talk gets a page and a calendar instead of a form.
The meeting, when it finally happens
Outbound to an engineering lead only works when the message references something true: their stack, their last release, the problem in their own job posting. Generic sequences to engineers get reported as spam, and we do not send them. On Amplification, the seat sends specific messages, a person who can answer a technical reply takes the response, and a meeting is defined in writing before the program starts, so a qualified conversation with an engineering decision maker counts and a curious trial signup does not.
Questions on this problem
We build the demand side: the site, the content, the search, and the outbound that gets an engineering lead into a conversation. Activation inside the product is yours.
Content is produced inside a documented technical system with terminology controls and a named reviewer. We write to the standard of the reader, and for technical products that reader is an engineer.
Two clocks. Leading indicators every 30 days, revenue at the month that matches your cycle, written into the agreement. The standard is published.
George Stoff, Founder and Lead Engineer
Full-stack engineer with more than 30 years building the systems companies sell through. He built the seven-layer method Isovertic runs on and stays on every account as the standards owner and the escalation path. When the algorithm shifts or a compliance question comes up, you get his engineering judgment. The day-to-day execution runs on the team he trained.
LinkedInKristen Coughlin, Chief Operating Officer
Trained molecular biologist. Ten years selling translational research products, then institutional operations in the Department of Microbial Pathogenesis at the Yale School of Medicine. She reviews the life-science work before it reaches a client's MLR reviewer. She also built the delivery operation: took the method George engineered, wrote it down, trained the team on it, and turned it into a repeatable engagement so the same seven-layer system runs the same way on every account.
LinkedIn