Visual journey builder
Design multi-step automations with branching, goals, and exit criteria, and enroll contacts by behavior, tag, or form fill.
AI-Built ActiveCampaign Clone
An AI-first build of every ActiveCampaign mechanic: predictive lead scoring with reason codes, journeys that branch on live behavior, and a sales CRM sharing one contact record with marketing. 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
The track record behind every build.
overview
An ActiveCampaign clone app is a marketing automation and CRM platform in one product: journey builders, lead scoring, deal pipelines, and email execution under a single roof, running under your brand.
Its purpose is to give small and mid-sized businesses the automation depth enterprise tools charge heavily for. Operators who launch one capture a subscription that clients currently split across a marketing tool and a CRM, and can specialize by industry, language, or region.
The platform includes the marketer workspace with a visual journey builder and scoring rules, a sales CRM panel with pipelines and rep tooling, and an admin console for tenants, plans, and automation health.
Marketing automation has been a growing software category for a decade, and buyers keep consolidating tools rather than adding them. A platform that bundles journeys, scoring, and CRM in one record competes on consolidation, and the subscription economics are straightforward: one product, one bill, higher retention.
The summary layer above the role panels.
Design multi-step automations with branching, goals, and exit criteria, and enroll contacts by behavior, tag, or form fill.
Rule-based points and model-driven scores rank contacts with reason codes, so sales reps trust the number they see.
Deal pipelines, tasks, and timelines share the contact record with marketing, ending the copy-paste handoff between systems.
Page visits and product events feed scoring and segmentation in near real time through a queue-backed pipeline.
Journeys run on a resumable engine with idempotent steps, so retries and crashes never send duplicate emails.
Engagement models flag deals and contacts drifting toward closure, giving reps a prioritized day before the pipeline decides for them.
Revenue traces back to the first touch across journeys and deals, giving tenants evidence for what works.
Contact tiers, CRM seats, SMS credits, and connector access are all configurable quotas you can reprice at will.
What these buyers share: clients paying two subscriptions where one owned platform would do.
With an industry focus, competing on consolidation and fit rather than feature count against the global suites.
Productizing client delivery under their own brand, with every deployment a standalone tenant and full source code in the deal.
Tired of reselling per-seat licenses, moving the subscription and the implementation revenue onto a platform they own.
Who need the same journeys and pipelines at every branch under shared governance and one reporting layer.
Embedding sales-and-marketing automation into an industry product where generic CRMs do not fit the workflow.
Three panels, one automation engine. Every build ships all of them.
Where journeys and campaigns are designed.
Where pipeline gets worked.
Operate tenants, billing, and health.
Four consoles, one view of tenants, journeys, and money.
Tenant and seat management with plan tiers and contact quotas, billing and invoicing across contact and seat meters, and pilot-group packaging configuration.
Automation health monitoring with idempotent execution telemetry, event pipeline throughput, retry and failure queues, and journey performance dashboards per tenant.
AI model performance dashboards for scoring and churn, integration connector status, and webhook and API entitlement administration.
Abuse and suppression controls with consent-state monitoring, compliance guardrails over sending patterns, and audit logs and exports for enterprise reviews.
The lifecycle one contact travels through marketing and sales.
A signup, form fill, or site visit creates the contact record, tagged by source so attribution starts at the first touch.
Rule-based points plus predictive scoring move the contact up or down as they engage, with reason codes visible to the sales team.
The contact enters a journey: welcome emails, conditional branches on behavior, and goal checks that pull them out the moment they convert.
When a score threshold or journey goal fires, a deal is created in the pipeline and routed to a rep by assignment rules.
The rep sees the contact's full timeline, lead score, and suggested next task, and advances or loses the deal with a recorded reason.
Win and loss reasons feed back into scoring and reporting, so the definition of a good lead improves with every cycle.
Five model-driven systems working the same contact stream. Each ships pre-tuned for sales-and-marketing automation and sharpens as your data compounds.
Ranks every contact on likelihood to convert, trained on win-loss history and shown with reason codes reps can act on.
Site events, email engagement, deal history, firmographics
Reps working the right pipeline instead of the loudest inbox
Recommends branch logic and send windows from observed conversion paths across every journey on the platform.
Journey outcomes, step drop-off, engagement timing
Automations that improve instead of calcifying
Flags accounts and contacts going quiet across product, email, and sales touchpoints before the renewal conversation.
Engagement recency, product usage, support signals
Retention plays that start early instead of post-mortems
Matches inbound leads and replies to the rep or queue most likely to respond and convert, within your assignment rules.
Rep availability, response history, territory and tier rules
Faster first response and provably fair distribution
Watches consent state and sending patterns across tenants so automation never outruns permission.
Consent records, suppression lists, sending patterns
Automation scale without compliance drift
platform concepts
The first concept is the journey as a durable state machine. Every contact sits at an exact step in every journey they belong to, and steps execute idempotently, so a crash or retry never sends a duplicate email or skips a branch. Goals and exit criteria are evaluated before each step, which is how a contact who buys mid-journey stops receiving sales emails.
The second is contact economics. Plans price marketing contacts and CRM seats as separate meters, with SMS credits and connector access as configurable quotas. The two-tier structure is the commercial model, and it is admin-configurable so you can pilot packaging with a segment of tenants before rolling it out.
The third is the shared record. Site tracking, journey enrollment, and deal history all write to the same contact timeline, so handoff is a status change rather than a copy-paste between systems, and the attribution report can trace revenue back to the first touch.
Four groups, each mapped to the part of the automation promise it protects.
A durable state machine where every contact sits at an exact step with idempotent step execution, so a crash or retry never sends a duplicate email or skips a branch, and goals and exit criteria evaluated before each step stop sales emails after the purchase.
Site tracking, journey enrollment, and deal history writing to one contact timeline, so marketing-to-sales handoff is a status change rather than a copy-paste between systems.
AI lead scoring, predictive sending, and churn detection over a queue-backed event pipeline, with segments as stored definitions recomputed against live behavior.
Marketing contacts and CRM seats priced as separate meters with SMS credits and connector quotas, admin-configurable so new packaging can be piloted with a tenant segment before a platform-wide rollout.
insight
Marketing automation software keeps compounding past the nine-billion-dollar mark globally by 2030 on widely published forecasts, and the CRM-plus-email-plus-sms bundle is where the consolidation is heading. Businesses pay for automation because it compounds: every journey keeps selling after the marketer goes home.
The wedge is execution reliability and unified records: idempotent journeys and one contact timeline are what separate an automation platform from a sending tool with a workflow diagram. Operators who ship both win the tenants the suites price out. 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 by contact count and feature depth | Plans commonly $20 to $500+ per month per tenant | List growth. Tiers scale while contacts stay engaged | |
| CRM seats | Per-seat billing separate from marketing contacts | Seats commonly $15 to $100+ per user per month | Sales adoption. Seats hold while pipelines live in-platform | |
| Usage metering | SMS credits, extra sends, premium connectors | SMS credits commonly $0.01 to $0.05+ per message | Campaign intensity. Usage scales while quotas stay fair | |
| Add-on modules | Predictive scoring, attribution, API access | Add-ons commonly $25 to $300+ per month | Growth-stage fit. Add-ons stick while insights earn revenue | |
| Agency and white-label plans | Multi-client management for agency operators | Seats commonly $50 to $500+ per month | Client economics. Plans hold while client accounts consolidate | |
| 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 by contact count and feature depth, with CRM seats billed separately from marketing contacts.
Usage metering for SMS credits, extra email sends, and premium integration connectors.
Add-on modules: predictive scoring, advanced attribution, and API access for larger tenants.
Every quota and rate is admin-configurable, so you can pilot new packaging with a segment of tenants before rolling it out platform-wide.
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 notifications and emails.
App store and Play Console submissions for the companion apps, with production monitoring switched on.
Stripe, PayPal, and regional gateways configured for contact-tier and seat billing across your tenant base.
Lead scoring, journey optimization, and churn detection arrive configured for sales-and-marketing workloads, not as raw APIs.
Languages, currencies, and tax display configured for your markets during the launch window.
Containerized services on AWS or GCP with queue-backed event pipelines and autoscaling.
Automation health dashboards, attribution 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.
Automation reliability is the whole product. We build it that way.
A durable workflow engine with idempotent step execution, so a crash mid-journey resumes cleanly and no contact receives a duplicate email.
Site tracking and product events flow through a queue-backed pipeline into scoring and segmentation, keeping journey latency low at volume.
Contact tiers, CRM seats, and usage credits billed through Stripe, PayPal, and regional gateways with reconciliation tooling.
Containerized services on AWS or GCP with autoscaling. For AI architecture context, see RAG is not enough.
Webhooks in and out, ecommerce event ingestion, and payment connectors ship as configured integrations with retry and dead-letter queues, so a partner outage never stalls a journey.
Suppression lists, consent timestamps, role-based access, and audit logging enforced platform-wide, so compliance questions have answers before they are asked.
The almost-ready AI build, day by day. Store review times can add a short buffer outside our control.
Tenant model, contact tiers, and CRM structure locked with a written scope, and your identity applied across all three panels.
Sending, billing, scoring defaults, and webhook endpoints configured and verified against live events.
Test journeys run end to end: triggers, splits, goals, duplicate suppression, and CRM sync.
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 automation 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 | Scoring, journey optimization, and churn detection pre-tuned for automation | AI services designed around your workflows and data |
| Automation depth | Proven journey mechanics with durable execution | Plus custom attribution models and vertical connectors |
| 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 walkthrough and we will demo the journey builder, scoring, and the CRM on a live build, 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. Custom attribution models, vertical connectors, or bespoke pipelines 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 imports, and webhooks are wired during the build, and each integration is estimated individually.
Out of the box, scoring and churn models are pre-tuned for automation workloads. Training on your tenants' win-loss data is an optional, separately scoped workstream.
Extend the ActiveCampaign-style build once the core automation loop is running.
Shop and order-event connectors feeding scoring and abandoned-cart journeys with revenue attribution, the integration that proves ROI.
SMS and push sharing the same journeys and segmentation with credit metering, meeting buyers where attention moves.
Per-contact content selection inside emails and journeys, lifting engagement without segment sprawl.
Multi-touch attribution tracing revenue back to the first touch across every channel, the report that renews the contract.
Deal boards, task automation, and win-probability scoring layered on the CRM seats, deepening the sales side of the platform.
Deploy the platform for agencies running client accounts under their own brand, with per-tenant plans and quota configuration.
Automation depth without SaaS per-seat lock-in.
Idempotent execution and resumable state are the difference between an automation platform and an email scheduler.
Lead scoring feeds the pipeline directly, so marketing and sales work from one record instead of two systems.
A ready-made launch costs a fraction of a ground-up workflow engine, 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-seat royalties, no black-box dependencies.
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
A brand platform our team built and operated at global-campaign scale, the same engagement discipline behind every build.
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same bar every build is held to.
A consumer platform from the same engineering system, proving engagement and conversion mechanics at multi-market scale.
Tap a card to see how the platform defends its journeys.
Every contact sits at an exact step in every journey with idempotent step execution, so a crash or retry never sends a duplicate email or skips a branch, even mid-campaign.
Goals and exit criteria evaluate before every step, so a contact who converts mid-journey stops receiving sales emails the moment the goal fires.
Site tracking, journey enrollment, and deal history write to one contact timeline, so marketing-to-sales handoff is a status change with a full record behind it.
Compliance guardrails watch consent state and sending patterns across tenants, so automation scale never drifts past permission.
Contact tiers, seats, SMS credits, and connector quotas enforce at the platform level, so plan boundaries hold under real workload.
Abuse and suppression controls with audit logs and exports record platform behavior end to end, so enterprise reviews meet evidence.
the process
Discovery covers your tenant model, CRM structure, and contact tiers, and ends in a written scope and fixed quote. Once you approve, you hand over your brand assets and we configure the platform: your identity across marketer, sales, and admin surfaces, your sending setup, 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 will be spent tuning scoring and journey templates with early tenants, iterating on what a qualified lead means in your niche while the automation engine earns its keep.
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.
Access: Shared on a guided call
$ moxace launch --nowBook a free consultation and get a written scope and price.
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 ActiveCampaign.
The phrase “ActiveCampaign 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 ActiveCampaign website, applications, or brand assets.
ActiveCampaign 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.