Growth engine
The job is not to publish random posts. The job is to run repeatable series, route every viewer through our AI and tracking surfaces, and clone only the concepts that create tracked buyer intent.
Daily brief
DealRadar Finds growth brief 1. Publish one trust-builder: Before you buy this Temu find... 2. Publish one utility list: 3 useful things under $15... 3. Publish one AI-led prompt: AI found 5 products for... 4. Route every post through /v/drf-### or /ai-finder. 5. Check /performance and clone only concepts with tracked outbound clicks.
Variant factory
I asked AI for small kitchen coffee fixes, then rejected the bulky ideas.
Unrun priority seed: publish before judging.
Cheap earbuds are only useful if the basics are real.
Unrun priority seed: publish before judging.
The listing price is not the only price that matters.
Unrun priority seed: publish before judging.
I would test these because each one solves a clear everyday problem.
Unrun priority seed: publish before judging.
If your desk always looks messy, start with small fixes.
Unrun priority seed: publish before judging.
Series, not posts
Trust beats hype. Each post slows the buyer down just enough to make the outbound click higher-intent.
Hook with the product, show three checks, then send users to the DealRadar landing page before Temu.
Clone any hook that reaches 10 tracked outbound clicks.
Rewrite the hook if it gets traffic but no outbound clicks.
Low-ticket utility is the most repeatable angle: easy to understand, fast to demo, and low decision friction.
Three fast product demos, one practical use case each, one checkout reminder at the end.
Clone by room, job, trip type, or audience when a product cluster wins.
Drop products that need too much explanation in a short video.
The best compliance-safe coupon content is not a discount promise; it is a checkout verification ritual.
Show listed price, coupon eligibility, delivery/tax caveat, and final decision rule.
Clone when viewers click through from coupon-check videos to product pages.
Stop any format that trains users to expect a certain discount.
AI turns generic catalog browsing into a use-case search. This is where the API, finder, and content engine compound.
Start with a natural-language prompt, show five candidate products, reject weak fits, then link to the finder.
Clone prompts that produce comments asking for another room, budget, or use case.
Cut prompts that generate generic products with no visual demo value.
The brand voice is selective. We win by saying what we would test, what we would skip, and why.
Five candidates, two rejects, three tests, one buying rule. Always include the disclosure.
Turn each winning product into a dedicated before-you-buy post.
Remove anything that depends on brand-dupe, health, or safety-sensitive claims.
AI moat
Turns comments and search intent into product prompts we can reuse in videos and guides.
Lets assistants and internal tools pull practical product candidates from the same feed.
Keeps creator scripts, widgets, and external builders aligned around disclosed landing links.
Lets vibecoders and agents generate embeds, product lists, and search results without manual browsing.
Turns winning product angles into long-tail pages across underserved languages and markets.
Connects every video concept to downstream DealRadar and Temu-intent clicks.
Measurement loop