Frequently Asked Questions

Forebrite’s advanced statistical-modeling engine transforms historical and current data into a decision-making powerhouse, providing precise insights and forecasts that factor-in market trends and set new benchmarks in marketing effectiveness.

Sure, here are our typical steps: (1) Identify the key metrics (workshop); (2) Gain access to data for the key metrics; (3) Model and analyze historical performance of the key metrics; (4) Create a basic top-down model (yearly - based on growth trends); (5) Create a seasonal bottom-up model (monthly - based on growth and seasonal trends); (6) Create a weekly bottom-up model; (7) Identify key strategic programs and estimate uplift (workshop); (8) Begin weekly tracking, recommendations and outcome optimisation

We will meet with your team for an hour every week, and conduct an annual planning process that involves a series of workshops.

Anything with an API or export.

Every week we compare your forecast to happen with what actually happens. If we consistently exceed expectations we identify new opportunities. When we consistently miss expectations we immediately identify issues and refine your model to address them—quickly and efficiently.

The upfront modeling work ensures that Forebrite’s solution is completely customized to your business.

Forebrite can pull data from any source but doesn’t currently push back into CRM/MA sources. Our focus is on giving you and your team a broad view across your activity rather than personalization triggers into other systems.

We need key person involvement in setting up the initial model and annual planning. Ongoing, it’s ideal to get one representative from each functional area to an hour weekly meeting.

We store aggregate data wherever possible. If a specific optimisation requires us to store PII (Personally Identifiable Information) we store it as an encrypted hash rather than plain text. All our data is stored with secure file storage services and application databases, our data suppliers are all ISO 27001 certified.

We integrate all channel and attribution data into a single model Our analytics engine models how different channels interact with each other to forecast performance We consistently get feedback from your team to refine our models Based on the size of your media spend we may also build a probabilistic Marketing Mix Model (MMM) When deploying MMM we regularly run experiments to help tune our model.

Your team won’t need training on the Forebrite service. We drive the process for your team.

Yes - this is part of our planning process. To forecast new activities we look at historic performance, get team input and use conservative estimates. Specific activity forecasts are built into the model and tracked.

Yes, regardless of your organization’s attribution maturity we apply scenario modeling and efficiency calculations to identify cross-channel opportunities.

MoleMap (ANZ Skin Check Clinics) year 1: 40% increase in annual bookings while reducing marketing budget by >40% Hanrob (AU Pet Hotels & Transport): >60% growth in average revenue per pet, 60% in self-service, +10% improvement in inbound performance Laundromap (Door-to-door dry cleaning): 73% drop in Customer Acquisition Cost (CAC).

We typically expect to deliver a 3 month payback.