Write cold emails that actually get replies. Personalization at scale cuts writing time from hours to seconds while lifting your reply rates, no templates or guessing.
Your cold emails get ignored because they sound like everyone else's. Open rates tank, replies dry up, and you never know if it is the copy or the timing. Email Marketing AI writes personalized subject lines and follow-up sequences for you, then shows you which lines are getting replies and why. Try it live on the homepage right now.
The current sales workflow burns hours on copy that never gets a reply. Here is what changes.
Four steps, no onboarding call, no integration project.
Paste what you sell, who buys it, and one past email if you have it. The model picks up tone from the sample.
Five subject variants ranked by predicted open rate, plus a four-touch follow-up cadence anchored to common buyer objections.
Inline edits in the browser. One click exports to Apollo, Instantly, HubSpot, or a CSV. No copy paste juggling.
The report tells you which subject line pulled replies, which got ignored, and what variable moved the number. Iterate on the next campaign.
Four buyer profiles where the copy problem is the bottleneck, not the list or the offer.
No AI assistant chrome, no chat sidebar. Inputs in, campaigns out, reply data back.
Five variants per campaign, each scored against a model trained on response data from public outbound benchmarks. You pick the one you want to ship, not the one the AI guesses you want.
Paste two emails you have sent before. The model matches your cadence, sentence length, and signoff style, then drafts the next four touches. No more half-finished sequences sitting in drafts.
See which subject lines pulled replies, which got opened and ignored, and which got marked as spam. The report names the variable that moved the number, not just the number.
Start a free trial, run one campaign through it this week. If reply rates do not move in 30 days, cancel and we refund the month, no forms.
Start free trialThe Wishdeal Factory scores every idea against 10 Adoptability axes, separate from raw quality. Here are the numbers we surface for this one.
shippable in 4 to 6 weeks. Year-1 ARR mid-case around $70K (estimate). Investment to production around $28K. probability of meaningful success around 12%, by Fermi heuristics.
Everything on this page. The brand, the score, the Fermi math, the audio pitch.
ICP, MVP scope, first 7 build tasks, 30/60/90 launch plan, GTM, email drip, LinkedIn message, objections, risk memo.
Unlock dossierDossier plus the working code starter, brand assets, copy library, and outreach pack.
See adopt scopeHire the team that built this to install, customize, and run launch with you.
See scope