Use case: Next‑Best Donation Method

Discover each donor’s next best way to give with AI...

From credit card to recurring gift to mail or digital, Squark AI predicts the donation method most likely to convert - so you raise more, faster, with less guesswork.

Net revenue lift
Typical improvement when campaigns are guided by Squark predictions.
Lower acquisition cost
Reduce waste by mailing and messaging only the donors who matter.
Direct‑mail uplift
+7% response and +9% net revenue demonstrated in affinity tests.
Time to value
Launch fast with a no‑code setup; act on plain‑language scores.

Discover each donor’s best way to give

Method prediction

Credit card, ACH, check, mail vs. digital — predict the path most likely to convert.

Friction removal

Resolve blockers like payment failures or UX hurdles before they happen.

Offer & message fit

Recommend the prompt that sparks the gift now.

Activation sequences

Push ready‑to‑use journeys to your tools.

AI signals for donation method

From intent to method — with fewer clicks

Propensity models identify the likely payment and channel, while agents sequence the touches that get the gift.

Payment propensity

Predict card vs. ACH vs. offline choice.

Channel readiness

Mail, web, or SMS by donor preference.

Triggering prompt

Message style that converts now.

Follow‑up sequence

Journeys that maximize completion.

Learn more

Case study spotlight

↑ Conversion Less friction, more completed gifts
↓ Cost to serve Steer to lower‑fee methods when fit
Fewer retries Preempt failures and drop‑offs

See your next‑best method model

We’ll run a quick analysis and show which donors will convert with which method, and why.