AI-powered market intelligence and forecasting your team can question
Market, competitor and customer signals pulled into one view, with forecasts your team can question and act on.
Typical balance
30 human : 70 AI
AI-run, reviewed. Varies by engagement.
Your people keep deciding which questions matter, interpreting what the numbers mean and acting on it.
AI takes on continuous market and competitor monitoring, demand and churn forecasting and surfacing patterns people would miss.
What is marketing intelligence and forecasting?
Marketing intelligence brings market, competitor and customer data into one view and uses forecasting models to predict demand and churn, so decisions are made on current evidence rather than last quarter's report. People decide what to ask and what to do; AI does the monitoring and pattern-finding.
Predictive analytics is the forecasting half of the service. Using your sales, customer and campaign history, models estimate demand by product and period, flag customers likely to leave, estimate what a customer is likely to be worth over time and project how a campaign is likely to perform before the budget is spent. Every forecast carries a confidence range, and a person decides what to do with it.
Also known as market intelligence, competitive intelligence, demand forecasting, predictive analytics and predictive marketing
Who needs marketing intelligence and forecasting?
Leadership and marketing teams making significant decisions on outdated reports, instinct or data scattered across tools.
It also fits retail and ecommerce teams that need demand forecasts for inventory and pricing, subscription businesses watching churn, and marketing teams that want to see a campaign’s likely return before committing the budget.
A good fit when: decisions are made on last quarter's report and a hunch.
How marketing intelligence and forecasting works
Questions
We agree the decisions the intelligence needs to support.
Sources
Market, competitor and customer data are connected into one view.
Forecast
Models forecast demand, churn, customer lifetime value and campaign performance, each with a confidence range so you know how far to trust it.
Brief
A monthly briefing turns the data into a short list of things worth acting on.
What you get
- Intelligence dashboard
- Demand, churn and customer lifetime value forecasts with confidence ranges
- Campaign performance forecasts before the budget is committed
- Competitor watch
- Monthly insight briefing
How long does marketing intelligence and forecasting take?
A first dashboard and forecast in four to six weeks.
Common questions about marketing intelligence and forecasting
What is marketing intelligence?
It is the ongoing collection and analysis of information about your market, competitors and customers, used to guide marketing and business decisions.
How accurate is AI demand forecasting?
It depends on the quality and length of your history and how stable the market is. Every forecast we build shows its confidence range, so you can see how far to rely on it.
What competitor information can you track?
Public information such as pricing, product changes, advertising, content, hiring and reviews.
What is predictive analytics?
Predictive analytics uses your historical data and statistical or machine learning models to estimate what is likely to happen next: demand by product and period, which customers are likely to leave, what a customer is likely to be worth, and how a campaign is likely to perform. In this service it is the forecasting layer that sits on top of the market and competitor monitoring.
What data do you need for forecasting?
Usually sales or order history by product and date, customer records with first and last activity, and campaign spend and results. Longer, cleaner history gives tighter confidence ranges; a shorter history is workable with wider ones, and we say so in the forecast.
