NinjaCat Implementation
Most marketing analytics platforms make you choose between simplicity and power. NinjaCat does not. It handles data ingestion, transformation, and reporting in a single environment and unlike legacy platforms like MCI, it was built with an agentic AI layer from the ground up.
Decision Foundry implements and manages NinjaCat for media agencies and marketing teams connecting your data sources, building your harmonization layer, configuring AI and agentic workflows, and staying engaged as your long-term platform partner.
The Reality
Your current analytics platform is hitting data volume limits and the costs are climbing
You want AI embedded in your analytics, not bolted on as an afterthought
Your team is spending hours on manual SQL and data harmonization work that AI should own
Clients expect real-time dashboards and automated reporting your current stack cannot deliver
Your platform is locked in and changing one thing means rebuilding everything
You are on MCI and need a modern alternative with a clear AI roadmap
What We Do
We assess your current setup, source list, data volumes, client structure, and reporting requirements and give you an honest recommendation before any build begins. If NinjaCat is not the right fit, we will tell you.
Full end-to-end NinjaCat setup including source authentication, data stream configuration, scheduling, and API management across every platform in scope.
We build the SQL harmonization layer that unifies your data across all sources using NinjaCat's AI-assisted approach. Cross-channel field alignment, metric standardization, and custom business logic all built and documented.
We configure NinjaCat's agentic AI capabilities for your specific workflows including campaign automation thresholds, budget reallocation rules, anomaly alerts, and natural language querying.
Client-facing and internal dashboards built to your reporting standards. Existing reports from MCI or other platforms are rebuilt and validated before anything goes live.
We train your marketing and analytics teams on how to use and manage the platform including how to use AI prompts effectively. Full documentation included.
We stay engaged post-launch handling connector maintenance, API changes, new source additions, and platform updates.
Ready to see what NinjaCat looks like for your agency? We will audit your current analytics setup and show you exactly what a NinjaCat implementation involves, timeline, architecture, and what you get on the other side.
Book a Free NinjaCat AssessmentThe Process
We review your current analytics environment, data sources, client structure, and reporting needs. We assess whether NinjaCat is the right destination and give you a clear delivery plan before any build begins.
We review your current analytics environment, data sources, client structure, and reporting needs. We assess whether NinjaCat is the right destination and give you a clear delivery plan before any build begins.
We design the NinjaCat setup including data connections, harmonization approach, dashboard structure, and AI configuration before any build begins.
We design the NinjaCat setup including data connections, harmonization approach, dashboard structure, and AI configuration before any build begins.
We authenticate and configure all your data sources in NinjaCat. Pre-built connectors for major ad platforms accelerate this phase significantly.
We authenticate and configure all your data sources in NinjaCat. Pre-built connectors for major ad platforms accelerate this phase significantly.
We build and validate the SQL harmonization layer using NinjaCat's AI-assisted approach to unify your data sets cleanly.
We build and validate the SQL harmonization layer using NinjaCat's AI-assisted approach to unify your data sets cleanly.
We build client-facing and internal dashboards and validate them against your existing reports. Numbers have to match before anything goes live.
We build client-facing and internal dashboards and validate them against your existing reports. Numbers have to match before anything goes live.
We configure the AI and agentic features relevant to your workflows including natural language querying, automated campaign alerts, and actionable campaign automation.
We configure the AI and agentic features relevant to your workflows including natural language querying, automated campaign alerts, and actionable campaign automation.
We train your team, hand over full documentation, and support the go-live with a defined support arrangement in place.
We train your team, hand over full documentation, and support the go-live with a defined support arrangement in place.
An Honest Note on NinjaCat
NinjaCat is the strongest like-for-like alternative to MCI for agencies and significantly more capable on AI.
MCI has deeply developed native data models that unify cross-platform data very cleanly out of the box. NinjaCat's SQL-based harmonization is more flexible and AI-assisted but requires more active management.
For teams that want to own and evolve their analytics environment this is a manageable trade-off. We will always give you an honest assessment, including when NinjaCat is not the right answer.
Why Us
We are not selling a capability we have never delivered. Decision Foundry has live NinjaCat implementations and is building hands-on expertise in the platform's AI and agentic layer.
We know the platform most agencies are 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 different from MCI's native data models. We know where this creates friction and how to manage it so teams do not hit problems post-launch.
We assess fit before we recommend NinjaCat. If your situation is better served by a different platform, we will say so and implement that instead.
Decision Foundry has been delivering marketing analytics engagements for over two decades across agencies, media teams, and enterprise marketing organizations.
Ready to Move?
Whether you are moving off MCI, switching from another platform, or setting up NinjaCat for the first time, the starting point is the same: a clear picture of your current setup and what a NinjaCat implementation involves for your agency.
Book a Free NinjaCat AssessmentCommon Questions
It covers the same functional areas including data ingestion, transformation, and reporting and goes significantly further on AI. The architecture is different from MCI's native data model approach. 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 based on defined thresholds. It is meaningfully more capable than MCI or most comparable platforms.
Pricing is broadly comparable at similar data scales. Clients typically pay around $60K per year at the 20 to 40 million 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 and validate everything before cutover.
Not necessarily. NinjaCat's AI-assisted setup and management makes it more accessible to marketing teams than most comparable platforms. We also provide training and documentation so your team can manage and extend the platform independently.
A focused implementation connecting your core sources, building the harmonization layer, and migrating existing dashboards typically takes 10 to 16 weeks. Larger setups take longer and are scoped accurately during the assessment phase.