Drag-and-drop campaign builder
Assemble branded emails from content blocks with no code, and save them as reusable templates for the whole tenant base.
AI-Built Mailchimp Clone
An AI-first build of every Mailchimp mechanic: send-time optimization that learns each contact's habits, subject-line scoring before a campaign ships, and segmentation recomputed from live behavior. Three synced panels ship white-label with 100% source code, owned by you from day one. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks.
Launch-ready from
$2,499

Synced Panels
Almost-ready AI launch
Custom build
Source-code ownership
Canonical facts, not promises.
overview
A Mailchimp clone app is a white-label email marketing platform: audiences, campaign builders, automations, and deliverability tooling running under your brand on infrastructure you own. The name describes the category benchmark, not the technology you get.
The business case is recurring revenue from a budget every company already has. Businesses pay monthly for email marketing because lists are commercial assets; an operator who owns the platform keeps the subscription instead of passing it to a SaaS vendor, and can price for niches the big suites ignore.
A full build includes the marketer workspace with a drag-and-drop email builder and automation journeys, the subscriber-facing surfaces such as signup forms and preference centers, and an admin panel for tenants, plans, quotas, and deliverability monitoring.
Email has held steady as one of the highest-ROI channels in digital marketing for years, which is why independent operators keep entering the category. The practical opportunity is focus: a builder aimed at one vertical or region competes on fit, not on feature count against the incumbents.
The marketing summary layer above the panels.
Assemble branded emails from content blocks with no code, and save them as reusable templates for the whole tenant base.
Segments are stored definitions recomputed against live events, so a contact who just abandoned a cart is targetable the same day.
Welcome series, win-back, and abandoned-cart paths built on a visual canvas with triggers, branching, and exit rules.
Dedicated IP pools, DKIM and SPF alignment, warm-up schedules, and per-tenant throttling protect inbox placement from day one.
Predictive sending windows and subject-line scoring help every campaign ship at the moment it is most likely to be opened.
Engagement models flag contacts going quiet before they unsubscribe, so re-engagement journeys fire while there is still a relationship.
Unsubscribes, hard bounces, and complaints propagate at the queue level, keeping every tenant's list clean automatically.
Contact-volume tiers, send quotas, and add-on credits meter and bill from the admin panel without engineering time.
What these buyers share: audiences worth monetizing and a reason the big suites are not built for their niche.
Targeting a region, language, or vertical the incumbents serve generically. The AI layer gives you the send-time and segmentation depth buyers now expect.
Managing many client lists under one roof, productizing the platform instead of renting a seat per client.
Serving merchants in one vertical with campaigns, automations, and benchmarks tuned to their catalog patterns.
Who already own large audiences and can turn list management into a product with subscription revenue.
Adding a white-label platform to a practice, with implementation and migration billed on top of the software.
Three panels, one marketing engine. Every build ships all of them.
Where campaigns get built and sent.
The surfaces your audience touches.
Operate the platform and its tenants.
Four consoles, one view of tenants, sending, and money.
Tenant and plan management with contact-tier assignment, quota rules per tenant, and the directory that lets agencies and single storefronts coexist on shared infrastructure.
AI deliverability and reputation monitoring, sending-domain verification, IP warm-up schedule oversight, and bounce and complaint monitoring that catches trouble before placement degrades.
Blocklist and abuse controls, suppression-list and consent-timestamp administration, and audit logs and exports that answer compliance questions with evidence.
Billing and invoicing across contact tiers and usage lines, metering reports per tenant, and add-on entitlement administration.
The campaign lifecycle your tenants run every week, engineered end to end.
Contacts arrive by CSV import, signup form, or API, each with a consent timestamp and source recorded at ingestion.
The marketer builds segments from attributes and behavior, computed continuously so fresh signals are targetable today.
In the drag-and-drop builder they assemble a one-off campaign or an automation journey with triggers, branching, and exit rules.
The queue paces delivery per tenant and per ISP, throttled against the sending domain's reputation and DKIM and SPF alignment.
Hard bounces and spam complaints feed the suppression list automatically, so repeat sends never touch a dead or complaining address.
Opens, clicks, and conversions land in reports that write back into segments, closing the loop for the next send.
Five model-driven systems working the same engagement stream. Each ships pre-tuned for email marketing and sharpens as your data compounds.
Learns when each contact actually opens and clicks, and schedules delivery per recipient instead of per blast.
Open and click history, time zones, engagement recency
Higher open rates without changing a word of copy
Scores subject lines against engagement patterns from your own campaign history before anything ships.
Past subject performance, campaign type, audience traits
Fewer campaigns dead on arrival and faster approval cycles
Flags contacts whose engagement is decaying and assembles win-back audiences automatically.
Engagement curves, purchase recency, unsubscribe risk signals
Retention journeys that fire before the relationship is gone
Watches reputation signals, bounce patterns, and spam-placement warnings, and throttles sends before domains get burned.
Bounce classification, complaint rates, ISP feedback loops
Inbox placement protected as tenant volume grows
Drafts subject options, preheaders, and body copy inside the editor, with humans approving every send.
Campaign briefs, brand voice samples, top-performing copy
Time-to-first-campaign cut from days to minutes
platform concepts
The first concept is list health. Every contact carries a consent state, an engagement score, and a suppression status, and the send queue checks all three before releasing a message. Unsubscribes propagate at the queue level, not the UI level, which is what keeps compliance real when a tenant sends to millions.
The second is deliverability economics. Each tenant sends from verified domains with DKIM and SPF alignment, new IP pools follow a warm-up schedule that builds sender reputation gradually, and per-tenant throttling keeps one aggressive sender from degrading inbox placement for everyone else on shared infrastructure.
The third is the tenant catalog. Audiences, templates, journeys, and plans live in a structured directory the admin panel governs, with contact tiers and quota rules attached per tenant. That structure is what lets you onboard an agency running fifty client lists and a single storefront on the same deployment.
Four groups, each mapped to the part of the email promise it protects.
A drag-and-drop builder with reusable templates, behavior-based segmentation recomputed against live events, and send-time and subject-line AI that ships every campaign at its likeliest moment to be opened.
Welcome series, win-back, and abandoned-cart paths on a visual canvas with triggers, branching, and exit rules, so lifecycle marketing runs without a marketer babysitting every send.
Verified sending domains with DKIM and SPF alignment, dedicated IP pools on warm-up schedules, per-tenant throttling, and reputation dashboards, because inbox placement is the product's real currency.
Every contact carries a consent state, engagement score, and suppression status checked by the send queue, with unsubscribe propagation at the queue level, and an admin-governed tenant directory with contact tiers and quotas.
insight
Email marketing software keeps compounding past the three-billion-dollar mark globally by 2030 on widely published forecasts, and email itself remains one of the highest-ROI channels in digital marketing year after year. Lists are commercial assets, which makes the subscription sticky and the category durable.
The wedge is deliverability engineering and vertical fit: warm-up schedules, queue-level suppression, and reputation tooling are what keep campaigns out of spam folders, and a builder aimed at one vertical or region competes on fit rather than feature count. The revenue table below quantifies the lines.
Six monetization lines across the platform, quantified against published industry benchmarks. Every rate is admin-configurable; the figures here are modelling inputs, not projections of your platform's earnings.
| Criteria | Revenue line | How it is charged | Typical range | What sets the ceiling |
|---|---|---|---|---|
| Contact-tier subscriptions | Monthly tiers priced on contact volume and send limits | Plans commonly $10 to $500+ per month per tenant | List growth. Tiers scale while contacts stay engaged | |
| Usage metering | Validation credits, extra sends, template packs | Metering commonly $0.001 to $0.01+ per contact | Campaign intensity. Usage scales while quotas stay fair | |
| Automation add-ons | Advanced journeys, predictive segments, API access | Add-ons commonly $25 to $300+ per month | Growth-stage fit. Add-ons stick while journeys earn revenue | |
| Agency and white-label plans | Multi-client management seats for agencies | Seats commonly $50 to $500+ per month | Client economics. Plans hold while client lists consolidate | |
| Deliverability services | Dedicated IP pools and managed reputation care | Services commonly $50 to $1,000+ per month | Inbox trust. Services sell while placement stays proven | |
| White-label deployments | Branded instances for vertical operators | Deployments commonly $10,000 to $100,000+ | Vertical demand. Deals close while per-tenant config stays cheap |
Subscription tiers priced on contact volume and send limits, the billing model the category standardized.
Usage metering for email validation credits, extra sends, and premium template packs.
Automation add-ons: advanced journeys, predictive segmentation, and API access sold to growth-stage tenants.
Every quota and rate is admin-configurable, so you can reprice tiers as your base grows without engineering time.
Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.
The complete unencrypted codebase transfers to you, with documentation and deployment scripts.
Your logo, colors, and store accounts across all three panels, plus branded emails and forms.
App store and Play Console submissions for the companion apps, with production monitoring switched on.
Stripe, PayPal, and regional gateways configured for contact-tier billing across your tenant base.
Send-time optimization, subject-line scoring, and churn-risk segments arrive configured for email, not as raw APIs.
Languages, currencies, and tax display configured for your markets during the launch window.
Containerized sending and app services on AWS or GCP with queue-backed delivery and autoscaling.
Deliverability dashboards, engagement reports, and CSV exports so your team starts informed on day one.
Included support window plus product updates covering bug fixes, OS compatibility, and version upgrades.
Deliverability is the product. The editor is the wrapper.
Dedicated IP pools, DKIM and SPF alignment, warm-up schedules, and per-tenant throttling so one sender's problems never leak into another's inbox rates.
Segments computed as materialized predicates over event streams, so behavior-based targeting stays fast on millions of contacts.
Contact-volume tiers, send quotas, and add-on credits metered and billed through Stripe, PayPal, and regional gateways.
Containerized services on AWS or GCP with queue-backed delivery. For AI-assistant context, see our AI chatbot development work.
Ecommerce event ingestion, CRM sync, webhooks in and out, and analytics exports ship as configured integrations, so tenant data flows in without engineering tickets.
Suppression lists, consent timestamps, unsubscribe propagation, and role-based access enforced at the queue level, not the UI level, so audit questions have answers.
The almost-ready AI build, day by day. Deliverability warm-up continues on a schedule after launch.
Tenant model, contact tiers, and sending regions locked with a written scope, and your identity applied across all three panels.
Sending domains, DKIM and SPF records, billing, and quotas configured and verified against your live accounts.
IP warm-up plan started, then test campaigns run across seed lists: rendering, automation triggers, and unsubscribe propagation.
App store submissions with review buffers accounted for, production monitoring on, and full launch with post-launch support and product updates included.
Both tracks ship the same sending core. The difference is time, price structure, and how much you want to change.
| Criteria | Almost-Ready AI Launch | Custom Build |
|---|---|---|
| Time to live | 6 working days from branding handoff | 3 to 4 weeks, scoped before work starts |
| Pricing | Fixed written quote after a short scoping call, no hourly meter | Estimated per module after the discovery call |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| AI layer | Send-time, subject scoring, and churn segments pre-tuned for email | AI services designed around your workflows and data |
| Deliverability | Warm-up schedules and reputation tooling engineered in | Plus custom rails, dedicated pools, and compliance recording |
| Best for | Operators who want to launch this quarter | Teams with bespoke workflows or a unique model |
| After launch | Post-launch support and product updates included | Post-launch support and product updates included |
$ moxace launch --nowBook a demo and we will show a live campaign build, the deliverability console, and the AI layer, then send the written scope.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
No two launches price the same. These are the factors that shape the written quote you receive after scoping.
The almost-ready AI build covers the proven feature set. Ecommerce integrations, custom attribution, or bespoke journeys add scoped estimate work.
Contact tiers, language packs, and currency setups are configured per market. Adding regions means more configuration, never a rebuild.
Ecommerce platforms, CRM systems, and webhooks are wired during the build, and each integration is estimated individually.
Out of the box, send-time, scoring, and churn models are pre-tuned for email. Training on your tenants' historical campaign data is an optional, separately scoped workstream.
Extend the Mailchimp-style build once the core sending loop is running.
Shop, catalog, and order-event connectors feeding abandoned-cart and post-purchase journeys, the automations that pay for the platform.
SMS and push campaigns sharing the same audience and segmentation, billed per message, meeting marketers where attention actually moves.
Signup forms, landing pages, and preference centers on the same brand system, turning ads into lists without leaving the platform.
Per-campaign revenue attribution with ecommerce data, the report that renews the subscription.
Dedicated IP pools, warm-up management, and reputation care sold as a service to high-volume tenants.
Deploy the platform for agencies running client lists under their own brand, with per-tenant plans and quota configuration.
Ready-made speed with deliverability-grade engineering.
Warm-up schedules, reputation dashboards, and queue-level suppression are core product logic, not plugins.
Send-time optimization and subject-line scoring ship on day one, the capabilities buyers now expect.
A ready-made launch costs a fraction of a ground-up sending stack, with a fixed written quote before work starts.
One hundred percent of the source code transfers to you, refined across 3,900+ delivered apps. No per-contact royalties, no black-box dependencies.
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
A brand campaign platform our team built and operated at global scale, the same engagement discipline behind every build.
A consumer platform from the same engineering system, proving engagement mechanics hold at multi-market scale.
A media platform delivered by the same team, holding completion quality under global launch traffic.
Tap a card to see how the platform defends its inbox placement.
Every contact carries a consent state, engagement score, and suppression status, and the send queue checks all three before releasing a message, so compliance holds when a tenant sends to millions.
Unsubscribe enforcement runs at the queue level, not the UI level, so a single opt-out removes the contact from every future send regardless of campaign pressure.
New IP pools follow warm-up schedules that build sender reputation gradually, and per-tenant throttling keeps one aggressive sender from degrading placement for everyone else.
Tenants send only from verified domains with DKIM and SPF alignment, so spoofing and phishing never ride on your infrastructure.
AI deliverability and reputation monitoring surfaces bounce and complaint trends before they compound, so trouble gets caught while it is still cheap to fix.
Consent timestamps, suppression lists, and audit logs record the platform's behavior end to end, so compliance questions meet evidence instead of assurances.
the process
We start with a discovery call covering your tenant model, contact tiers, and target senders, then return a written scope and fixed quote. Once you approve, you hand over your brand assets and we configure the platform: your identity across all three panels, your sending domains, and your billing tiers. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks, planned with you up front.
Launch is not the finish line. You get an included support window and product updates, and the first 90 days are a deliverability story: onboarding tenants gradually, watching reputation dashboards as volume ramps, and refining tier pricing from real usage data while the sending infrastructure proves itself.
Open the web app, sign in with the printed demo credentials, or install the Android build — no signup, no sales call. What you see is what you launch.
User: [email protected] | User_321
Agent: [email protected] | Agent_321
$ moxace launch --nowBook a free consultation with our marketing-platform team.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by Mailchimp.
The phrase “Mailchimp clone” is used descriptively. It is how the software industry refers to building a platform with similar functionality, and how buyers search for one.
The design and codebase are built entirely by our in-house team. Nothing is taken from the Mailchimp website, applications, or brand assets.
Mailchimp and all third-party names and marks remain the property of their respective owners, referenced here only to describe the category of software we build.
Read the full legal notice on our disclaimer page.