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Small-budget advertisers lose money two ways: killing winners too early, funding losers for weeks. The Ad Kill-or-Scale Decision System fixes that with pre-written rules. Plug in your target CPA once — every ad set gets a verdict: KILL, KEEP TESTING, or SCALE, using the 2x/3x spend rules media buyers use. Includes a break-even ROAS calculator and testing-budget allocator. For Meta, TikTok and Google advertisers spending $10–100/day. Excel-based, no subscriptions, commercial license included.
Hey hunters! I'm Khaled — I built this after watching too many small sellers treat ad spend like a slot machine.
The core idea: write your kill rules BEFORE you spend a dollar. One advertiser documented $9,452 in ad spend (32 Meta leads + 3 Shopify installs) and came out with this rule: "any ad set that burns $150 with zero leads gets paused, no negotiation." Source: https://superpowers.thareja.ai/p... — This system turns that discipline into a worksheet: your numbers in, a KILL / TEST / SCALE verdict out.
It's Excel-based and yours forever — no SaaS subscription. Happy to answer any questions about the methodology. What's the longest you've ever let a losing ad set run?
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About Ad Kill-or-Scale Decision System on Product Hunt
“Pre-written kill/scale rules for small ad budgets”
Ad Kill-or-Scale Decision System was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #390 on the daily leaderboard. Small-budget advertisers lose money two ways: killing winners too early, funding losers for weeks. The Ad Kill-or-Scale Decision System fixes that with pre-written rules. Plug in your target CPA once — every ad set gets a verdict: KILL, KEEP TESTING, or SCALE, using the 2x/3x spend rules media buyers use. Includes a break-even ROAS calculator and testing-budget allocator. For Meta, TikTok and Google advertisers spending $10–100/day. Excel-based, no subscriptions, commercial license included.
Ad Kill-or-Scale Decision System was featured in Marketing (469.9k followers), Advertising (29.9k followers), GitHub (41.4k followers) and E-Commerce (42k followers) on Product Hunt. Together, these topics include over 143k products, making this a competitive space to launch in.
Who hunted Ad Kill-or-Scale Decision System?
Ad Kill-or-Scale Decision System was hunted by Daniel Reed. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Ad Kill-or-Scale Decision System stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Daniel Reed