Principle 3: The Importance of Donor and Transaction Analytics

*This is the third in a series of blog posts about digital organizing and data management best practices using Frakture. You can find Principle 2: The Fundamentals of Messaging & Attribution here.

With your data ecosystem all sorted, your analytics really start to shine.

Right out of the box, Frakture models your donor trends across time, channels, and software platforms. Here are just a few things you can do with Frakture from the start:

• Merge transactions from multiple sources into one unified revenue report

• Analyze your recurring transactions to see when donors first contribute or drop off

• Compare major revenue sources by day, week, month, or year

• Track average donation amounts

• Analyze the history of your donors year-over-year

• Calculate your donor counts based on how much they’ve given across multiple years

Of course, that’s just the beginning.

With each step into the Frakture onboarding, the value of your new data warehouse becomes more clear. At this stage, you begin to see a holistic view of the donors themselves, with all the gifts they made and messages they responded to. It’s a view that you might never otherwise see if constituent lists and gift histories live in separate, siloed platforms.

Donations of constancy

Frakture’s console turns your coded and attributed transactions into a deep view of donor data. Our native reports available right off the shelf give you actionable transaction metrics as soon as we plug data sources into the warehouse. A few of the highlights:

• A Transaction Summary of topline gift performance for any date range: cumulative gifts and sums, with breakouts by day, gift type, and gift size

• A breakdown of your Recurring Giving revenue stream, including donor retention and average donation amount

• The all-important analysis of your Donor Retention metrics: how many of your donors repeat their gifts or escalate their commitments?

Our native reports deliver instant results, but what if you need more customization? You can also link your Frakture data warehouse to your data visualization platform of choice. We offer a lot of resources and support for Looker Data Studio (formerly Google Data Studio), but we have clients using other products like Tableau and PowerBI.

Frakture’s transaction analysis penetrates quite a bit deeper even than these reports – that’s the benefit of using automation for analysis across millions of data points and decades of user history. Later in this series we’ll explore how Frakture’s unique tools illuminate the subsets of channels and messages that really perform for you, and zoom out to capture the long-term value of different messages through the lifetime repeat giving of its donors.

Next up in our series, we take a deep dive into the magic of source coding, which can unlock powerful tools like cross-channel reporting, multi-channel attribution, and origin reporting. Stay with us to learn how you can use source coding to unlock a virtually-limitless ocean of reporting metrics and dimensions, customized to meet your every need.