Marketing Cloud Intelligence · Migration Service
NinjaCat is one of the most compelling destinations for organisations moving off Marketing Cloud Intelligence. It replicates MCI's all-in-one architecture — data ingestion, transformation, and reporting in a single platform — but with one significant difference: a fully built agentic AI layer that MCI was never designed to have.
Decision Foundry is currently implementing NinjaCat for clients and has been building deep expertise in the platform's capabilities — including its AI and agentic features. If you're evaluating NinjaCat as your MCI migration destination, we can help you assess whether it's the right fit and implement it in a way that actually gets you to the outcomes you're after.
The Case for NinjaCat
MCI cannot offer agentic AI capabilities. It sits outside the Salesforce Lightning environment where Agentforce operates, and there's no roadmap to change that. NinjaCat has built an agentic layer directly into the platform — not just a chatbot on top of dashboards. You can automate actions: pausing campaigns, adjusting bids, triggering workflows — all from within the platform.
NinjaCat uses an SQL-based harmonisation layer where data from multiple sources is unified through a single query. On its own that sounds technical — but NinjaCat's AI can generate that entire query from a plain-language prompt. You describe what you want, AI writes the SQL, and you run it. For marketing teams who want to manage their own analytics environment without engineering support, this is a meaningful shift.
MCI has always been positioned as a low-code tool for marketing teams. NinjaCat goes further. The AI layer doesn't just surface insights — it can handle parts of the implementation itself, reducing the ongoing engineering overhead once you're live.
NinjaCat pricing is broadly comparable to MCI at similar data scales. Clients typically pay around $60K/year at the 20–40M row range — similar to what they were paying on MCI. The case for migration isn't primarily about cost saving; it's about getting AI and agentic capabilities that MCI will never deliver, at roughly the same price you're already paying.
What We Offer
We assess your current MCI setup and evaluate whether NinjaCat is the right fit. Not every MCI client should move to NinjaCat, and we'll tell you honestly if a different path makes more sense for your situation.
Full end-to-end NinjaCat setup — connecting your data sources, building the SQL harmonisation layer, configuring the reporting and dashboard architecture, and setting up AI and agentic features where relevant.
We configure NinjaCat's AI layer to work for your specific reporting needs — from natural language dashboard querying to automated campaign actions. This is where the platform's value is highest, and where most teams need support to get it right.
We train your marketing and analytics teams on how to use and maintain the platform — including how to use AI prompts effectively for data harmonisation and querying.
We stay engaged post-launch to refine the setup, add new data sources, and continue expanding what you're getting from the platform.
How It Works
From candid fit assessment through training and go-live — every phase scoped, validated, and handed off cleanly.
We start with a discovery session to understand your current MCI setup, your data sources, your reporting needs, and whether NinjaCat is the right destination. We're candid about fit — if NinjaCat isn't right for your situation, we'll say so.
We design the NinjaCat setup — data connections, harmonisation approach, dashboard structure, and AI configuration — before any build begins.
We connect your existing data sources to NinjaCat. NinjaCat has pre-built connectors for most major advertising platforms, which accelerates this phase significantly.
We build and validate the data harmonisation layer, using NinjaCat's AI-assisted SQL approach to unify your data sets cleanly and efficiently.
We build your dashboards and reporting views — executive summaries, campaign performance views, platform-specific breakdowns — and validate them against your existing MCI reports.
We configure the AI and agentic features relevant to your workflows: natural language querying, automated alerts, and where applicable, actionable campaign automation.
We train your team and hand over a platform they can manage and expand independently — with documentation and ongoing support available.
Worth saying out loud
NinjaCat is a strong choice for many MCI clients, but it's worth being clear-eyed about where it differs. MCI was purpose-built for marketing data and has deeply developed data models that unify cross-platform data very cleanly out of the box. NinjaCat's harmonisation is SQL-based, which is powerful but requires more active management.
For marketing teams who want to own their analytics environment, that's a manageable trade-off. For teams who need highly complex, multi-source data models with minimal engineering involvement, it's worth discussing during discovery.
We will always give you an honest assessment — including when NinjaCat isn't the right answer.
Who Benefits
Buyer
User
Influencer
Industries
Media & Advertising
Retail & eCommerce
Financial Services
Healthcare
Technology
Why Us
We're not selling a capability we've never delivered. We're currently working on NinjaCat implementations and building hands-on expertise in the platform's AI and agentic layer.
We know the platform you're leaving inside out. That means we can map your existing MCI setup accurately, identify what needs to be replicated, and ensure nothing gets lost in the move.
NinjaCat's SQL-based approach is powerful but different from MCI's native data models. We know where this creates friction and how to manage it so clients don't hit problems post-launch.
We assess fit before we recommend NinjaCat. If another platform serves your needs better, we'll say so — and implement that instead.
Ready to evaluate?
We'll assess your current setup, show you what NinjaCat can do with your data, and give you a clear view of what the migration involves.
Book a Free Migration AssessmentCommon Questions
It covers the same functional areas — data ingestion, transformation, and reporting — but the architecture is different. NinjaCat's SQL-based harmonisation approach is more flexible but requires different management. We assess fit during discovery.
NinjaCat's AI can generate data harmonisation queries from plain-language prompts, answer questions about your data through a conversational interface, and trigger automated campaign actions through its agentic layer. It's meaningfully more capable than what MCI or most comparable tools offer today.
Cost is broadly comparable. Clients typically pay around $60K per year at the 20–40M row range — similar to MCI pricing at that scale. The case for NinjaCat is capability (specifically AI and agentic features), not cost reduction.
Yes. Historical data migration is a core part of the implementation. We plan for this explicitly in the discovery and architecture phase.
Not necessarily. NinjaCat's AI-assisted setup and management makes it more accessible to marketing teams than most comparable platforms. We also provide training so your team can maintain and expand the platform independently.
Typically 10–16 weeks depending on the number of data sources and the complexity of your existing reporting setup.