Regular Giving Simulator

Model your fundraising outcomes before you launch. Set up audience segments, choose your channels, and run Monte Carlo simulations to forecast participation, income, and ROI across hundreds of scenarios.

500
simulations per run
4
fundraising channels
80%
confidence intervals
ROI
cost analysis

How It Works

1
Set up your campaign

Define your audience segments, choose fundraising channels (telephone, giving day, email, direct mail), and describe your case for support.

2
Run simulations

We run 500 Monte Carlo iterations using sector benchmarks, network effects, and capacity models to forecast realistic outcomes.

3
See your forecast

Get expected donors, total income, ROI, and per-segment breakdowns with confidence intervals. Tweak parameters and re-run instantly.


Fundraising Channels We Model

The simulator is built on real-world data from Hubbub's fundraising campaigns. Learn more about each channel.

Telephone Appeals
Telephone Appeals

The most personal fundraising channel. Telephone campaigns engage and inspire donors through the power of conversation — driving single gifts, regular giving sign-ups, legacies, and more.

Typically the strongest channel for converting regular givers, with ~35% of activated donors signing up for recurring gifts.

Giving Days
Giving Days

A 24–48 hour online giving campaign that engages your entire community. Social ambassadors, challenges, and match funding create urgency and peer-to-peer momentum.

Network effects are strongest here — giving days tap into social proof and community connections to drive participation.

Causes
Causes

More than an online donation form. Hubbub Causes puts the donor at the centre of their giving experience, growing community and fostering a lasting culture of giving.

Ideal for email and direct mail campaigns. Personalised giving pages and segmented outreach maximise engagement and response rates.


Ready to model your next campaign?

Sign in to create your first simulation. It takes about 5 minutes to set up.

Get Started