Give Lively Levitate

Add new Give Lively donations to Levitate.

When a new donation is processed in Give Lively, record the gift and donor info in Levitate.

Try:

See all Give Lively + Levitate integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Give Lively Explore Give Lively →

Triggers
New donation or investment

Fires when a new donation, pledge or investment is recorded in Give Lively.

New recurring donor

Fires when a donor sets up a recurring gift in Give Lively.

Campaign goal reached

Fires when a fundraising campaign or round in Give Lively hits its goal.

Actions
Create or update donor or investor

Creates or updates a donor or investor record in Give Lively.

Send a receipt

Sends a donation receipt via Give Lively.

Create a campaign

Starts a new fundraising campaign in Give Lively.

Levitate Explore Levitate →

Triggers
New contact or lead

Fires when a new contact or lead is added to Levitate.

Contact updated

Fires when a field on a contact changes in Levitate.

Deal or record stage changed

Fires when a deal, case or record moves to a new stage in Levitate.

Deal won

Fires when a deal is marked won in Levitate.

Actions
Create or update contact

Creates or updates a contact in Levitate.

Create deal

Creates a new deal in Levitate.

Update record stage

Moves a deal or record to a new stage in Levitate.

Log activity

Logs a call, email, or note against a record in Levitate.

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FAQ

Common questions

Can Knit build “Add new Give Lively donations to Levitate.” between Give Lively and Levitate?

Yes — describe it in the box above and Knit's Integrations Agent researches Give Lively and Levitate's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

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