Forecasting

What it is

Our forecasting uses time-series regression, causal inference, and marketing mix modelling to simulate what will happen under different business and marketing scenarios.

We go beyond simple trend analysis. Every model is bespoke to your business and built to show why results change, not just that they do.

Typical use cases include:

• Predicting new and returning revenue at different investment levels
• Planning media budgets and efficiency targets
• Scenario testing, for example, “What happens if we increase Meta spend by 30%?”
• Forecasting search demand and media performance for upcoming peaks
• Building investor-ready growth or pricing scenarios

How it works

Every forecast is bespoke, built using your data and informed by real-world marketing knowledge.

1. Review and Prepare Data – We analyse your marketing, sales and promotions data to identify what drives performance. We work with daily ad spend, sales and promotion data across all major marketing channels. The richer your history, the more precise your forecast, but forecasting is possible for almost every business.
2. Model and Compare – We test multiple time-series and causal models to find the most accurate, explainable representation of your business.
3. Validate and Simulate – We hold out known data to test accuracy, then run “what if” simulations to predict the impact of future changes. Our causal forecasting can incorporate changes in channels, spend and tactics to show how these shifts could impact revenue, efficiency and customer growth.
4. Deliver and Monitor – Forecasts are visualised through dashboards, interactive reports, or custom web applications, and are continuously updated as new data comes in. Forecasts can be updated daily, weekly, or monthly depending on your needs, with some models retraining automatically to keep you informed on whether reality is playing out as expected.

Our process blends advanced statistical methods with applied marketing knowledge, ensuring results that are both technically sound and commercially meaningful.

What you get

• Bespoke forecast models tailored to your brand and data
• Scenario simulations to explore strategic “what if” situations
• Dashboards and interactive tools for live visibility
• Strategic recommendations grounded in causal insight
• Ongoing calibration to keep your models aligned with reality

Forecasting can be delivered as a one-off project, part of your growth retainer, or as a deeper data partnership. We build forecasts for brands of all sizes. The difference might be in scope and depth, but not in value. Every growth team benefits from seeing what is likely to happen next.

Why it matters

Forecasting helps brands make confident decisions even in uncertain conditions.

By quantifying risk and predicting outcomes, it enables teams to:

• Plan smarter budgets and media investments
• Avoid underspending when demand is high
• Understand the true incremental impact of marketing
• Set realistic growth expectations and investor targets
• Align marketing, finance, and operations around one shared plan

In short, forecasting bridges the gap between marketing activity and commercial foresight.

Forecasting complements your existing analytics tools like GA or Shopify. It adds predictive and causal insights to help you make proactive decisions, rather than relying solely on historical performance.