
Mocke
Mocke · Marketing
Mocke is a cold email AI agent that drafts personalized outreach and runs a mock cold email campaign, so you can see predicted reply, open, and spam rates before sending anything.

About Mocke
What Is Mocke
Mocke is a web app from a Y Combinator-backed team that tackles one stubborn problem: you can't tell whether a cold email will work until you've already burned a list finding out. It splits the job in two. One side writes personalized emails for each lead, drawing on deep research instead of a generic template. The other side plays out a campaign in simulation and hands back the numbers you'd normally wait weeks to collect.
The pitch is speed and safety. The team says a mock campaign returns results in about a minute, covering open, reply, unsubscribe, and spam reactions, along with the reasons behind them. Call it cold email testing without the blast radius: you can try a subject line or an angle without damaging a sender's reputation or paying for a list you'll never use. In effect, it packs reply rate prediction and cold email personalization into the same tool.
The catch is that anything simulated is still an estimate. Mocke models how people tend to react, but it can't account for a sudden change at an email provider or a prospect who simply had a bad morning. The team positions it as a pre-launch filter, not a replacement for a small real-world test on high-stakes sends.
Getting Started
- Open mocke.co on a computer or laptop. The team says mobile isn't supported, and you don't need an account to try it.
- Enter your website. Mocke reads it and suggests campaign ideas, an ideal customer profile, and a messaging angle.
- Review the email template it writes, which embeds research prompts in square brackets that the agent fills in per lead.
- Paste a lead or a LinkedIn profile to preview the deep research and the personalized email before committing.
- Upload your lead list as a .csv and let the agent run the campaign, then read the results in the dashboard.
Product Information
A quick look at Mocke's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Solo founders and indie sellers
- Sales teams at small firms
- Marketing agencies
- Newsletter and content operators
Tasks
- Writing personalized cold emails
- Mocking a full campaign
- A/B testing outreach elements
- Diagnosing a stalled campaign
- Validating deliverability
Scenarios
- Planning a launch
- Pre-event outreach
- Starting from zero
- Rescuing a weak quarter
Key features
Cold Email Agent That Researches Each Lead
Mocke works as a cold outreach tool that builds a profile of a lead by reading their LinkedIn activity and their company's public information, then queries business databases and crawls the web for relevant detail. From that, it writes one message per person rather than a single template with a name dropped in. The team describes the experience as working like Cursor, but for cold email.
Campaign Ideas From Your Website
Instead of a blank page, you start with a suggestion. Enter your site and Mocke proposes an ideal customer profile, the pain points that actually work for cold email, and a creative angle meant to draw replies. You can also kick off from a blog post, a case study, a conference, or a new feature rather than always from the homepage.
Template to Production in About a Minute
The agent drafts a subject line, a value-based call to action, and research prompts written in square brackets. You can hand the whole job to the AI or fill part of the template yourself for finer control. The team says a finished, sendable message takes roughly 60 seconds.
Mock Campaigns With Hidden Behavior
Beyond writing, Mocke simulates a full campaign and returns predicted open, reply, and unsubscribe rates, plus spam flags. What sets it apart is the hidden layer: it models internal forwards, archiving, and reminders to revisit, actions you can't observe in a real send. It also explains why each lead reacted the way they did.
Side-by-Side A/B Testing
You can run unlimited concurrent campaigns and compare messaging variants, subject lines, or audience segments next to each other. That turns what used to be a slow, sequential test into a single sitting where the differences are visible at a glance.
Credit-Based Pricing That Scales
Testing is metered in monthly mock credits, and the team says you can scale from 100 up to 100,000 depending on your plan. Campaign data is kept for later review, so you can go back and benchmark a new attempt against an old one.
Pros and cons
Pros
- Predicts the reactions you can't see in a live send, including spam reports and internal forwards.
- Turns weeks of sequential testing into roughly a minute of feedback.
- Writes per-lead personalized email instead of one template with a swapped name.
- Free tier is usable, and the team says you can try it without creating an account.
- Runs many campaigns at once, so variant testing doesn't queue up.
Cons
- Everything is a simulation, so results are estimates that can drift from a real send.
- No mobile support, so you need a computer or laptop to use it.
- Pricing and credit limits vary by source, and the top tiers climb quickly for heavy teams.
- The deep research depends on public data, so a lead with little online footprint gets a more generic email.
Frequently asked questions
It does two jobs: an AI agent writes personalized cold emails for each lead, and a second mode mocks a whole campaign to predict open, reply, unsubscribe, and spam rates without sending anything.
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