Services

JamData Work Packages

Each service addresses a specific fundraising challenge while reinforcing the broader strategy of deepening supporter relationships

DM Appeal Selection Beyond RFM

Predictive Modelling

The Challenge

RFM is simple and familiar, but it's blunt. You're leaving money on the table and missing engagement opportunities.

The Solution

Using data mining models, we analyse your organisation's past appeals to predict future response.

Key Benefits

  • Crossover increasing confidence in your best prospects
  • Increased Insights identifying more marginal prospects
  • Expected value calculations enabling optimal selection
  • Cross-sell opportunities to increase supporter TPCs

RFM v Clustering Comparison

Crossover - Chosen by both methods5,120

✓ Highest confidence selections

RFM Only2,340
Clustering Only1,890

→ New opportunities RFM missed

Marginal Clustering Prospects4,080

→ High-value prospects for bullish selections

Example data showing overlap and unique insights

Retention Curves by Channel

ReactivationConversionF2F Supplier AF2F Supplier BF2F Supplier C024 months100%50%

REGGIE

Regular Giving Income Estimator

The Challenge

Regular Giving is often the largest fundraising income stream, yet budgeting is frequently primitive.

The Solution

REGGIE brings precision to RG forecasting by recognising two distinct components: Retention Income and Acquisition Income.

Key Features

  • Individual supporter-level calculations for retention income
  • Multiple retention curves by channel/supplier
  • Acquisition timing modelling for new supporters
  • Variance analysis for accurate budget management

Audience Profile Design

Supporter Journey Mapping

The Challenge

Organisations often suspect their supporter base comprises distinct segments defined by different motivations - but these motivations aren't directly visible in transaction data.

The Solution

We work with you to identify hypothesised motivational segments, then use data to validate and operationalise them.

5-Step Process

1
Hypothesis Development

Identify suspected motivational segments

2
Survey Design

Create targeted surveys to capture motivations

3
Profile Analysis

Analyse survey responses and behavioural data

4
Predictive Modelling

Build models to identify segments in full database

5
Strategic Application

Design journeys tailored to each segment

Ready to Explore How We Work Together?

Let's discuss which service best fits your organisation's needs and goals