Decision

Seeing it isn't enough.

You have to show it.

The case that's hard to make.

Sarah has the signal. The mid-level segment is eroding.

The fix is clear: a dedicated re-engagement campaign targeting donors who gave less or stopped giving in the $2,500–$5,000 range. The whole team believes it’s right. But the spring budget is already committed.

To fund the campaign properly, Sarah needs to shift dollars from a digital acquisition channel that’s been softening for two quarters—one the CEO has championed personally. The math points one direction. The conversation is harder than that.

The numbers that won't connect.

So Sarah and Elena spend an afternoon building the case together. Elena pulls historical retention rates. Sarah reconstructs acquisition trends from the last three cycles.

They try to project what improving mid-level renewal does to revenue over three years—and what reallocating from a softening channel does to overall acquisition over the same period.

The problem is the numbers don’t connect cleanly. Retention and acquisition live in different reports, measured differently, over different windows.

The ask that can't be proven.

Sarah can make a case for the segment’s value. But she can’t show what the trade actually looks like over time. She can’t make the compounding effect visible in a way that will hold up in the room.

She builds a slide deck with what she has. When the CEO asks what happens to the three-year revenue picture if the channel mix shifts, Sarah says she believes the program comes out stronger.

That’s not the same as showing it.

The problem isn’t judgment. It’s making a consequential decision without being able to show the consequences.

What Avid makes possible.

Sarah and Elena open the Scorecard. Retention is already flagged: two stars, down 3.2%. The three-year projection shows exactly where the file is heading if nothing changes.

Then Sarah moves the “What If” slider.

The three-year revenue projection updates in real time—built from the organization’s own data, their own retention curves, their own giving patterns. The compounding effect she couldn’t show on a slide is now on a single screen, adjustable by anyone in the room.

The CEO doesn’t have to take Sarah’s word for it. She can see it. She can move the slider herself. She can watch the projections respond to her own assumptions.

The conversation that used to end with “I believe it recovers” ends with everyone looking at the same future.

The budget is approved in full.

The campaign is funded. Now it has to be built.