Wood for Trees has a team of analysts skilled at modelling and presenting your data in enlightening ways to drive insights and actions

More than just providing numbers, we’ll help you understand what the numbers mean and what should be done about them. We do this using a range of tools and techniques including post-campaign analysis, segmentation, machine learning and forecasting, all underpinned with a keen eye for storytelling and data visualisation.

We offer improved insights based on better data, to help you:

  • Monitor fundraising performance and strategy
  • Monitor, evaluate and improve results across your campaigns and appeals
  • Optimise and automate your communications and selections
  • Target supporters with the rights asks and products
  • Provide structure and strategy to your programmes
  • Robustly plan and refine your strategies

Provide structure and strategy to your programmes

Segmentations help you truly get to grips with who your supporters are and how they support you. Wood for Trees has built many different segmentations for many different purposes and can help you determine the best data and approaches to use for your specific requirements.

Ranging from behavioural models to attitudinal models and using data from your CRM enhanced with external data or research data where appropriate, we will create segments that help engage with your supporters in more appropriate ways.

Robustly plan and refine your strategies

Big planning decisions become easier when you can rely on what your data is telling you, not just about what happened last week, last month, last year but about what will happen next year or even 10 years from now. A coherent approach to data understanding can reveal patterns that may have always been there, but which were previously obscured by the surrounding noise.

We work with our clients to ensure all fundraising insight is placed in the full context of an organisation’s goals, making sure the right questions are being asked and that any learnings from previous projects are referred to where relevant.

Pulling all this together into a suite of off-the-shelf forecasting models can help you make the right decisions on your future strategies.

  • Propensity models
  • Prompt analysis and modelling
  • Lifetime value analysis
  • Segmentation
  • Supporter engagement scoring
  • Machine learning algorithms
  • Marketing mix modelling
  • Legacy audits
  • Digital analysis and attribution
  • Service delivery impact

We are committed to helping you find a solution to your data needs.