191. SPN: My 12-metric dashboard a nonprofit CMO actually needs
👀 Agentic Fundraising -> a prediction and how to prep
A very warm welcome to all the new subscribers. You’ve joined a global community of more than 4k marketing and fund raising operators at mission-driven Orgs. I’m thrilled to have you as readers and truly appreciate your feedback and support.
In this week’s SPN:
Agentic is closing the Conversion Gap fast!
The dashboard inputs your CMO actually needs 📈
Watch this space → Agentic Fundraising
And, plenty of Jobs & Opps
It’s a long one! Let’s jump in.
UNFPA’s mission is global.
Their revenue engine wasn’t.After switching to Fundraise Up:
→ 🚀 311% YoY revenue growth (12 months)
→ 🔁 Retention increased from 50% → 80%+
→ 💳 84% of donors cover fees
→ 📱 85% give on mobileGlobal mission. Global-grade donor experience.
Game changer? You know it is. Talk to Fundraise Up today.
The Conversion Gap is Closing Fast!
GenAI and non-AI conversion rates are nearing parity, with AI led traffic now showing higher engagement metrics and a higher value engine for growth.
+32% more time on site: Users are moving from discovery to deep consideration.
+10% more pages browsed: Conversational search encourages broader program exploration
-27% lower bounce rate: When AI helps find exactly what a user needs, they stay.
The shift toward Agentic Commerce (and Agentic Fundraising) is accelerating, helping to close this conversion gap further. It was fascinating to see just how much Google referenced Agentic Commerce in its latest Ads & Commerce roadmap release this past week.
Historically, we’ve all traded speed for certainty. According to BCG new AI-first search experiences are removing that trade-off, allowing for “speed and certainty” to go hand-in-hand.
With Universal Commerce Protocol, AI agents can now manage the entire journey - from discovery to secure checkout - directly within interfaces like Gemini or ChatGPT.
I stumbled across Google’s “Direct Offers” this week - a tool helping brands deploy tailored bundles and loyalty perks at the exact point a shopper is ready to commit. Reframe that for a donor and Org, and stuff gets real interesting, fast.
Rather than closing the engine for growth, this is a moment that feels like tech is truly evolving and opening up to create better donor experiences. I’ve written an exploratory piece on Agentic Fundraising below the dashboard post.
Check out the BCG report (source of chart below) and the Google 2026 outlook in the Reads section.
Reads From My Week 📚
What to expect in digital advertising and commerce in 2026 (Google)
Agentic Commerce Is Redefining Retail - Here’s How to Respond (BCG)
Why even the top 1% need a CMO to reach the next peak (LinkedIn)
TikTok is tracking you, even if you don’t use the app. Here’s how to stop it (BBC)
TikTok Publishes New Guide to Effective Promotions (Social Media Today)
YouTube Revenue for Full-Year 2025 Topped $60 Billion, Making Video Platform Bigger Than Netflix (Variety)
The 6 things companies that are winning at Gen AI Marketing in 2026 have in common (David Jones, Brandtech)
Of course they’re putting ads in AI (A16Z)
OpenAI explain testing ads in ChatGPT in a blog post (OpenAI)
The 12-Metric Dashboard Your CMO Actually Needs 📈
(and what each metric tells you to do next)
Most nonprofit marketing dashboards are decorative. They show hundreds of numbers in the brand color palette and help with exactly zero decisions. A good dashboard is like a compass – tells you where you are, and where you should go. For us in fundraising, these questions are –> along the donor lifecycle:
Are we creating demand?
Are we acquiring new donors efficiently and at a price that makes sense?
Are we converting them on-site?
Are we turning one-time into monthly?
Are we retaining and upgrading more donors than we are losing?
At every Org I’ve worked with, I built – or asked my team to build - a 12-metric dashboard that I’ve dropped below.
1. Viewable eCPM (effective CPM). Cost per 1,000 viewable impressions.
Where to pull from:
Google Ads: Reach / viewability columns for GDA, or view rate and viewable metrics for YouTube.
Programmatic: viewability rate and vCPM.
What to do with it:
If eCPM is trending down but downstream engagement is flat, move spend to placements with higher viewability, better creative formats, or tighter contextual targeting.
If eCPM rises while engaged sessions grow faster, keep spending.
2. Brand demand index (branded search and direct intent).
Where to pull from:
Google Ads: impression and click volume on your top branded keywords.
GA4: sessions from source/medium = google / organic to your homepage.
Search Console: branded query impressions (if set up).
What to do with it:
If brand demand is down while you’re spending more, you’re spending too much on bottom-funnel retargeting ads. Increase the share of prospecting in a specific geo (for a quick & cheap test instead of nationwide) and monitor brand search.
Social platforms (X, TikTok) obsess over DAU/MAU because it reflects user behavior regardless of revenue. Brand searches are Org’s “MAU”.
3. Engaged sessions. Percent of sessions that show meaningful intent. An engaged session is any session with at least one of the donation form view, video view, 4+ page views, or “About/Impact” page visit.
Where to pull from:
GA4: build these as events, then create a segment: Engaged sessions / total sessions.
What to do with it:
If traffic is up but the engaged sessions rate is down, that “new” traffic is junk – decrease spend on channels where you increased it last.
If engaged sessions rate is up but donations aren’t, look into website conversion.
4. Donate start rate (sessions that hit the form). Donate form views, or donations start per 1,000 sessions.
Where to pull from:
GA4: event = donate_start or donation_form_view.
What to do with it:
If donate start rate is low, the landing page can be improved. Start messing (testing) the CTA and page structure – add a video, move image to the header, make the form automatically pop up.
If donate start rate is high but completions are low, the form is the problem. Start changing $ amounts, make monthly a default option.
5. Donation completion rate. Donations completed / donation starts.
Where to pull from:
GA4 Funnel exploration: Landing page to Donate start to Donate submit.
What to do with it:
If completion rate declines, reduce the number of fields on the form, and look if any traffic sources had a spike in traffic that correlates with the decline. Some bots are getting smart and now “start” the donate process!
6. First gift net value. Median first gift amount minus processing fees (and refunds if you can include them). Median beats average to exclude the outliers.
Where to pull from:
CRM or donation platform is the source of truth – ideally pull directly from Stripe or your payment processor.
What to do with it:
If net value drops while volume rises, analyze the channels that drive most donations – targeting is wrong. You are most likely using PMax or Advantage+ that drives cheap conversions (CPA optimization), ignoring LTV / ROI.Where to pull from:
7. Cost per New-to-File Donor (CPNTF). Acquisition spend / number of first-time donors.
Where to pull from:
Spend directly from platforms.
New-to-file count from CRM based on first gift date.
Use UTMs stored on the donation record to tie donations back to the originating channel.
What to do with it:
If CPNTF rises but overall RoAS is flat, you are over-spending on existing donors – exclude them from Retargeting campaigns and increase the share of prospecting.
If CPNTF declines but the value per donor is declining too, you are over-spending on Social – driving cheap donors with a high churn rate.
FWIW, CPNTF is the most important metric for Orgs to watch instead of RoAS to avoid confusing immediate performance with growth in the file.
8. Cost per reactivated donor (CPRD). Spend on reactivation campaigns divided by the count of lapsed donors who give again.
Where to pull from:
CRM-defined “lapsed” donors (I recommend 12-month inactive).
Spend from Meta/Google/email costs.
What to do with it:
If CPRD is declining or stays under CPNTF: keep investing, your Org’s churn is preventable. Reactivation is a very fruitful tactic – but at some point, the pool will become too small to sustain it.
If CPRD is higher than CPNTF, your pool of inactive donors is exhausted and you should pause those campaigns for 3-6 months.
9. 30-day monthly start rate. Percent of new one-time donors who become monthly within 30 days.
Where to pull from:
CRM: one-time donors acquired in the period that started a monthly donation by day 30.
What to do with it:
Aim for 20% minimum as your target.
If it’s lower: revise your New Donor welcome journey in email and “monthly retargeting” ads.
If it’s higher: release some restrictions on your CPNTF targets – the long-term value is paying off.
Month-12 survival rate for monthly donors. Percent of monthly donors still active after 12 months.
Where to pull from:
CRM: count of active donors with at least 12 consecutive donations, divided by count of inactive donors in the same period.
What to do with it:
If the survival rate is declining, dial up your active monthly donor communication strategy – and calculate marginal ROI.Where to pull from:
11. Payback window (time to profit). How long does it take for a donor cohort’s net revenue to exceed what you spent to acquire them?
Where to pull from:
CRM cohort revenue over time. Net revenue is preferred (minus processing fees)
Spend by week/campaign from ad platforms, matched to the cohort start week.
What to do with it:
If payback is getting longer but RoAS is good, you are over-optimizing for RoAS – switch to the CPNTF as the main target.
If payback is shortening, you can increase top-of-funnel spend.Where to pull from:
12. 12-month value per donor (by cohort, not blended). Total net revenue generated by a cohort over 12 months divided by donor count in that cohort. Track it by acquisition channel.
Where to pull from:
CRM: cohort by first gift month + source/medium/campaign.
Sum net revenue (all gifts, including upgrades) and divide by donor count.
What to do with it:
Channels (and audiences) with the highest value per donor should be the first to increase budget on.
FINALLY:
Dashboard setup recommendations:
One page with 12 tiles. On each tile:
Current value
7-day trend line
28-day trend line
YoY value for the same week
For each tile, have several drill-downs:
By channel (Source/Medium)
By device
By landing page
By donor cohort month
👀 Watch this Space: Agentic Fundraising
I’ve been thinking about AI agents and commerce a lot lately, specifically what happens when people stop browsing and just… ask.
You’ve probably seen it. Perplexity lets you search and buy in the same breath. ChatGPT is testing checkout flows. Google’s building commerce into Gemini. The shift is from “search → browse → compare → donate” to “ask → donate.”
Retailers have been quietly freaking out about this. Less traffic. Less data. Less control over the customer relationship. More dependency on platforms they don’t own.
And I keep wondering: what does this look like for nonprofits?
The journey is collapsing
Right now, the donor journey is pretty linear:
Ad → Landing page → Donation form → CRM
Tomorrow it might just be a conversation:
“Which Orgs are helping with the earthquake in Turkey?”
“Which ones have I supported before?”
“Who has the lowest overhead?”
“Can you increase my monthly gift to UNICEF by $20?”
“Done.”
The nonprofit website never loads. The brand video never plays. The donation happens inside the agent.
I don’t think this is sci-fi. I think it’s 12-18 months out.
Why fundraising might be more ready than retail
Here’s what’s interesting: giving might actually be better suited to this than commerce.
Three reasons:
1. Giving is intent-driven
People don’t browse donations the way they browse shoes. They give when they’re activated - emotionally, morally, situationally. Could be when a crisis hits, a friend asks, a value gets triggered.
AI agents are exceptionally good at:
Detecting intent
Mapping values to causes
Timing the ask
Removing friction
That’s basically the whole game.
2. Trust matters more than price
In retail, agents optimize for cost and speed. In giving, agents will optimize for trust, transparency, impact-per-dollar, and donor identity.
That’s good news for Orgs with clean data. If you can prove your efficiency and impact in a way an AI can verify, you win. Not so great for Orgs who can’t…
3. Monthly, recurring giving is built for this
Monthly donors are the perfect use case for agentic logic.
An agent can:
Detect when your financial situation changes
Suggest an upgrade at exactly the right moment
Adjust cadence when life shifts
Reallocate across causes you care about
Prevent churn before you even think about it
Imagine an agent saying: “You usually increase giving in December. Want to move from $50/month to $65? That’s one more family with clean water each year.”
That’s agentic retention.
The risk: you become a backend utility
If Orgs don’t adapt, three things are likely to happen:
1. You lose discovery
The AI becomes the front door. Donors find you there, compare you there, decide there. Your donation page is just… plumbing.
2. You lose intelligence
If giving happens inside agent ecosystems, you lose behavioral signals, engagement data, the ability to test messaging. The intelligence layer moves upstream to whoever controls the agent.
3. You get commoditized
Agents will prioritize what they can measure: overhead ratio, charity ratings, speed, tax optimization.
Not your story. Not your brand film. Not your ED’s vision.
If you’re not structured for machine readability, you’re invisible. (This will be another SPN post soon).
From SEO to GGO
Retail is moving from SEO (search engine optimization) to GXO (generative experience optimization).
Orgs need to think about GGO → Generative Giving Optimization.
That means:
Machine-readable impact data
Clear cost-per-outcome metrics
Transparent financials, updated quarterly
Authority on Reddit, YouTube, Wikipedia, earned media (because that’s where AI pulls from)
Clean schemas for donation flows
APIs that agents can transact against
If your program pages aren’t structured for an agent to cite, they won’t cite you. If your donation flow can’t integrate with an agent checkout, you won’t convert.
Agent-to-agent giving
Here’s where it gets wild. The real shift isn’t just donors using agents. It’s donor agents talking to nonprofit agents.
Imagine the following:
My AI agent reaches out to your Org’s AI agent.
My AI agent asks:
“How’s your performance vs. last year?”
“How fast do you deploy emergency funds?”
“What % goes to programs?”
“Can you accept Apple Pay in Kenya?”
Your agent responds with verified, structured data - instantly.
They negotiate:
Gift amount
Allocation
Recurring cadence
Matching opportunities
Impact reporting frequency
As the donor, I just approve it.
That’s agent-to-agent generosity. Donors get the speed and clarity I reference above in the first post about CVR. Orgs get predictable revenue and cleaner data. The friction just… vanishes.
What to do now
I’ve been talking to a few teams about this, and the Orgs that feel even remotely ready are doing three things:
1. Win inside third-party agents
Optimize for AI discovery. Build authority in the places AI pulls from. Structure your impact data. Track “AI share of voice” the way you used to track search rankings.
Right now I’d bet you’re not showing up when someone asks ChatGPT or Perplexity “who should I give to for climate?” Nobody is consistently. Now is the time to begin this work.
2. Build your own donor agent
Not a chatbot that answers FAQs.
A real agent that:
Understands lifetime donor history
Predicts upgrade likelihood
Automates stewardship
Surfaces personalized impact stories
Reduces friction at every touchpoint
Think of it as a donor intelligence system that actively grows LTV.
3. Build agent-ready infrastructure
API-first donation systems. Interoperable payments. Clean CRM data. Real-time gift intelligence. Ethical AI governance.
You can’t retrofit this in 2027. It has to be in the core stack now.
The real question
In agentic commerce, the retailer’s best customer might not be a person and so, in agentic fundraising, your most important stakeholder might not be a donor.
It might be the donor’s agent.
If that agent can’t find you, verify you, transact with you, or interpret your impact you don’t exist in the next layer of generosity.
A different kind of trust
Where agentic commerce optimizes for efficiency Agentic Fundraising has to optimize for trust.
The Orgs that win won’t have the best video or the most emotional story.
They’ll have machine-readable credibility, structured impact transparency, frictionless and agent-compatible giving, AI-native donor intelligence, ethical clarity around automated persuasion/negotiation.
The shift is human-led journeys → agent-mediated ecosystems.
And in that world, fundraising becomes:
Continuous
Predictive
Context-aware
Personalized at real scale
Invisible in its friction
Final thought
I don’t think the question is whether this happens. It feels like the window’s open right now to at least be having these conversations and working through some of 1) what we know, 2) don’t know but have a decent sense of given what we can see coming down the Agentic Commerce pipe and then 3) don’t know and are willing to learn and tinker.
But the window won’t stay open.
Let’s chat! I’d love to hear what you’re seeing and thinking in this space.
That’s all for today.
I hope you’ve found one nugget today that you can put into play next week!
If you enjoyed this SPN, please consider sharing with your network. Thank you to those that do.
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And huge thanks to this Quarter’s sponsor Fundraise Up for creating a new standard for donor experience that helps Org’s raise more money.
Jobs & Opps 🛠️
Save the Children US: Senior Managing Director, Culture, Engagement & Inclusive Growth ($131,000 - $191,000)
Change.org: Head of Marketing & Communications, Elections ($234,000 - $276,000)
YMCA of the USA: Vice President, Brand Engagement
Omidyar Network (ON): Head of Comms
Give Directly: Senior Director, Philanthropy
American Red Cross: Senior Lead, Strategic Partnerships and Program Design
Fund The Climb Foundation: Chief Momentum Officer
Sesame Workshop: Senior Manager, Social Media











