Mocke

Product Introduction

1. Mocke is an AI-powered platform that simulates email campaign outcomes to predict engagement metrics such as open rates, replies, and unsubscribes without sending actual emails. It uses advanced algorithms to replicate real-world email interactions and provides actionable insights into campaign performance within one minute. Users can test subject lines, CTAs, messaging, and sequences to optimize strategies before deploying real campaigns.
2. The core value of Mocke lies in eliminating the time and resource costs of traditional A/B testing by delivering instant, data-driven feedback on email campaign effectiveness. It uncovers hidden lead behaviors—such as spam reports, internal forwards, or message archiving—that are impossible to track in real campaigns. This enables users to refine messaging, improve deliverability, and avoid damaging sender reputations through trial-and-error testing.

Main Features

1. Mocke allows users to upload lead lists in .csv format and launch AI-simulated campaigns with one click, generating results in under one minute. The platform mimics multi-step email sequences, including follow-ups, to replicate real campaign timelines and interactions. Users receive metrics like reply rates, unsubscribe rates, and out-of-office responses.
2. The platform provides granular analytics on why leads disengage, such as spam flagging, email archiving, or setting reminders to revisit messages later. It categorizes lead actions into visible metrics (e.g., replies) and hidden behaviors (e.g., internal forwards) to reveal full campaign impact. These insights are presented through dashboards with drill-down capabilities for individual lead profiles.
3. Mocke supports unlimited concurrent campaigns, enabling side-by-side comparisons of messaging variants, subject lines, or audience segments. Users can scale testing from 100 to 100,000 monthly mock credits across plans, with enterprise-tier scalability for large outbound teams. Campaign data is stored for retrospective analysis and performance benchmarking.

Problems Solved

1. Mocke addresses the inefficiency of traditional cold email campaigns, which require weeks to execute sequences and gather limited feedback. By compressing testing cycles to minutes, it eliminates the need for iterative two-week A/B tests, reducing time-to-insight by 99.99%. This accelerates optimization for subject lines, CTAs, and messaging frameworks.
2. The product targets sales teams, marketing agencies, and solo entrepreneurs running cold email or newsletter campaigns. It is particularly valuable for users with limited budgets who cannot afford failed campaigns or damaged sender reputations due to high spam complaints.
3. Typical use cases include testing new messaging angles for niche audiences, validating email deliverability before large-scale sends, and diagnosing underperforming campaigns by identifying hidden lead disengagement triggers. Enterprises use it to pre-screen campaigns across regional or demographic segments.

Unique Advantages

1. Unlike email testing tools that focus solely on open/reply rates, Mocke simulates recipient psychology and organizational email policies to predict spam flags, internal forwards, and other opaque behaviors. Competitors lack this layer of behavioral modeling.
2. The AI agent incorporates industry-specific email response patterns, seasonal engagement trends, and domain-specific spam filters into its simulations. This contextual accuracy ensures predictions align with real-world scenarios for verticals like SaaS, e-commerce, or B2B services.
3. Mocke’s competitive edge includes a 1-minute results turnaround for complex sequences and a credit-based pricing model that scales with user growth. The platform’s "Deep Mock Analytics" module offers unmatched visibility into campaign failure points, such as time-of-day sensitivity or keyword-triggered spam flags.

Frequently Asked Questions (FAQ)

1. How does Mocke simulate email campaign outcomes without sending real emails? Mocke’s AI analyzes historical campaign data, recipient domain policies, and engagement archetypes to predict lead responses. It applies machine learning models trained on millions of email interactions to replicate opens, replies, and spam complaints algorithmically.
2. What differentiates Mocke’s mock campaigns from real-world results? While no simulation matches 100% accuracy, Mocke’s predictions are calibrated using industry benchmarks and user-provided historical data to ensure ±5% deviation from actual outcomes. Discrepancies typically arise from unforeseen external factors like sudden policy changes at email providers.
3. Can Mocke replace traditional A/B testing entirely? Mocke is designed for pre-launch validation and rapid iteration, reducing but not eliminating the need for small-scale real-world tests. Users should combine mock campaigns with controlled live tests for high-stakes messaging.
4. How are pricing tiers structured? The Free Forever Plan includes 100 monthly mock credits and basic analytics. Premium tiers start at $79/month for 250 credits, scaling to 100,000 credits for enterprise users. Annual plans offer 15% discounts and priority support.
5. Is lead data uploaded to Mocke secure? All data is encrypted in transit and at rest, with GDPR/CCPA compliance. Mocke does not store .csv files beyond the simulation period unless explicitly archived by users.