← Where AI Pays
marketing-agency · Outbound · AutonomousBin it
Mass AI cold DM outreach
01 — The scenario
A marketing-agency business where this lands in Marketing.
02 — The problem, in money
$28,125$293,554,688/ yr at stake
Modeled- Cold DMs sent per day500 messages2,500 messagesPlaceholder — not a validated benchmarkStarting point
- Positive reply rate0.01 ratio0.1 ratioPlaceholder — not a validated benchmarkStarting point
- Reply-to-avg_transaction_value close rate0.02 ratio0.25 ratioPlaceholder — not a validated benchmarkStarting point
- Average avg_transaction_value value3,000 USD50,100 USDPlaceholder — not a validated benchmarkStarting point
03 — The options
Buy$100–$300 / moOff-the-shelf tooling, live sooner.
Bin$0Do nothing — and accept the leak.
04 — The call
Bin it
Bin it. The numbers do not justify doing this at all right now. Keep it on the shelf and revisit when the inputs change.
05 — Run it on your numbers
Start from industry averages, then drag the inputs to match your business. The number moves live.Drag each input to your number — the starting points are neutral midpoints, not industry data. The number moves live.
Worth to your business
$28,125per year
Modeled — industry averagesRevenue$75,000Modeled
Cost savings$0Modeled
Hours / week0Modeled
Industry averages
500 messages
Industry avg: 500 messagesPlaceholder — not a validated benchmark
0.01 ratio
Industry avg: 0.01 ratioPlaceholder — not a validated benchmark
0.02 ratio
Industry avg: 0.02 ratioPlaceholder — not a validated benchmark
3,000 USD
Industry avg: 3,000 USDPlaceholder — not a validated benchmark
06 — The evidence · what others report
No hard numbers reported.
Reported numbers are third-party claims, source-attributed — not verified by me, and never blended into the model above.
07 — Questions owners ask
Every figure is Modeled — computed from industry-average benchmarks against the scenario’s formula. Move the sliders to your own inputs and the numbers recalculate live. Nothing here is a promise; it is a starting estimate you can pressure-test.
The library is organized by department, outcome, effort and readiness so you can find what fits. Add scenarios to your plan, tune the inputs, and see the combined picture on your plan dashboard.
Want this to be a Projected number? That's what the Audit produces — my forecast on your real data, with my name on it.
Build means a custom system is the right move; Buy means an off-the-shelf tool wins; Bin means the math does not justify doing it at all. Binned scenarios can be favorited for reference but never enter a plan.
Is this your business?
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