Rafid I.

hi all, I wrote about moving our entire marketing site off Webflow onto a code-based stack run almost entirely through Claude Code, and what it has unlocked for a marketing and sales. The biggest unlock was customization for GTM. Spinning up ABM pages for specific target accounts, hyper-targeted industry pages, and competitor displacement pages, in any language, at blazing speed. No new vendors or waiting on a sprint. That kind of tailored landing page used to be a mini-project but now it's an afternoon. Another big unlock was the system of Claude Code skills we built for recurring jobs: adding a blog post, spinning up a comparison page, running the SEO validation, internal-linking, etc. There's a how-to section in the piece for anyone who wants to try this themselves - https://thegtmengineer.substack.com/p/how-one-person-ships-marketing-pages Eventually every company will shift to an AI-first web stack; it's just a matter of when. For competitive GTM teams, the old stack means leaving speed and freedom on the table. If that's you, think about making this move now. hope you enjoy reading!

Hi Clay friends! 👋 I am looking for some advice on the following issues I keep running into: We are a SaaS company and our ideal customers are mid-to-large size Ecommerce/DTC companies. So I've been trying to prospect using Clay to create niche based lists (Cosmetics, Fashion, etc.) for targeted outbound.

(Filters I am using are - industry, company size, annual revenue, description keywords, country) I've attached screenshots. 4. When I am filtering with industry (Cosmetics) - I am getting companies that sell cosmetics products (which is what we want) but also companies like 'Spa centers' also list themselves under 'Cosmetics' on LinkedIn. So a lot of companies that we don't want are getting into the list. How to best solve it? It seems like there's no way to do that using the default filters and only way is to post-process the list with AI and stuff? 5. In people search - we're looking for senior managers and leaders in Customer Support at those companies. Best way I found is to use Job titles to include (as learned in clay cohort). But when I enter job title keywords - I am getting the desired people but also getting a lot of irrelevant people. How to solve this issue? or does it also have to be done using AI later? So I am wondering - is it that I am doing something wrong? or is it that it's hard to find many companies/people if you want to niche down or build very targeted lists in Clay? Is it impossible to find very high-fit companies/people without using AI to post-process or qualify? Thanks!