AI Insights & MosAIc Chat
Built-in AI that explains your data. Automated insights, on-demand analysis, and MosAIc — a conversational assistant that guides you with actionable answers.
What It Does
MosAIc AI Chat
A conversational AI assistant built into the platform. Ask questions about your attribution data in plain language — "which channel had the best ROAS last month?", "why did conversions drop this week?" — and get instant, actionable answers with supporting data.
Automated Dashboard Insights
The AI scans your attribution data daily and surfaces anomalies, trends, and opportunities. Severity-coded alerts highlight what needs attention — from budget warnings to channel performance shifts.
On-Demand Deep Dive Analysis
Analyze channel performance, campaign effectiveness, seasonal patterns, or attribution model differences with a single click. The AI generates plain-language analysis backed by your real data.
Model Result Interpretation
After running marketing mix modeling, the AI interprets the results in plain language. Understand what the response curves mean, where diminishing returns start, and what the budget optimizer is recommending — without needing a data scientist.
Report Analysis
Generate AI-powered analysis of any report. The engine identifies key trends, compares periods, and highlights the metrics that matter most for your business.
Neuron Budget Controls
AI usage is metered with a daily neuron budget — configurable by admins. See exactly how much AI capacity is used and remaining. No surprise costs.
Who It's For
Time-Strapped Marketing Teams
Instead of spending hours analyzing dashboards, ask MosAIc. Get answers in seconds, with the AI guiding you to the insights that matter most.
Non-Technical Stakeholders
When executives ask "what's working?" — MosAIc generates plain-language summaries of attribution data. No need to interpret charts or compare model outputs manually.
Agency Client Reporting
Use MosAIc to quickly generate insights for client reports. Ask the AI to summarize performance, flag anomalies, and suggest optimizations — then share the results.