AI agents for Iterable
A Monmo agent works in Iterable the way a marketing operations specialist would. It maps every live journey, reads experiment results and says which variant actually won, reviews Handlebars and snippets in templates, checks message types against subscription preferences and drafts the next blast campaign. It uses a server-side API key for one project, and asks before it sends, launches or edits anything.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Iterable
Map every live journey
It reads each active journey in the project and writes one page per journey: how users enter, the waits and filters, each message and where people exit. Overlaps between journeys are flagged.
AskDocument every active journey in the US project, and tell me which users could be in two at once.
Read experiment results honestly
For a subject line, content or send-time experiment it reads opens, clicks and conversions per variant, notes the sample size, and says whether the difference is large enough to act on.
AskSummarise the last five experiments and tell me which winners had enough sends to trust.
Review templates and snippets
It reads Handlebars logic in each template, checks snippets are used consistently, tests the output with real user fields, and lists templates that still reference old data feed fields.
AskFind templates whose Handlebars uses fields we stopped sending, and show me a fix for each.
Audit message types and preferences
It compares each campaign's message type with what users opted into, and flags promotional sends sitting under a transactional type. Moving a campaign to another type asks first.
AskCheck every active campaign's message type and flag anything promotional set as transactional.
Draft a blast campaign and proofs
It writes the email, builds it from your base template, chooses the list or segment, and prepares proofs for your internal list. Sending proofs and scheduling the blast each ask first.
AskDraft the Black Friday early-access blast for the VIP list, and send proofs to marketing once I approve.
Load a list from a spreadsheet
From a Google Sheets tab of event attendees, it cleans emails, matches existing users and prepares a static list upload, with a count of new and existing profiles. Uploading asks first.
AskTurn the webinar attendees sheet into an Iterable list. Tell me how many are new users first.
Write the weekly channel report
Each Monday it reads sends, opens, clicks, unsubscribes and revenue attributed to campaigns, compares them with the prior week, and posts a short summary in Slack.
AskEvery Monday at 9, summarise last week's email results in Iterable by campaign and post it in Slack.
How it connects
- 1You connect Iterable once with a server-side API key from the project you want it to work in. Keys belong to one project, and creating one needs a role with access to integrations settings.
- 2You choose which agents may use Iterable. A marketing operations or CRM agent fits, and a data agent that works in Snowflake can share the reporting.
- 3Reading journeys, campaigns, templates, lists and metrics needs no approval. Sending proofs or campaigns, launching or editing a journey, uploading a list, changing templates and updating users ask first.
More in Marketing and ads
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent manage Iterable journeys?
It documents, reviews and drafts them; launching and editing wait for you. A Monmo agent can read each journey, explain how it behaves and propose changes. When you approve, it makes them through the Iterable connection, or in its own browser when the connection does not cover something.
Can it tell me which Iterable experiment variant won?
Yes, with the caveats a careful analyst would give. The agent reads the results per variant, reports the sample size, and says when the gap is too small to call. It can also suggest the next test, and write it up in Google Docs.
What kind of Iterable API key does it need?
A server-side key for the project it works in. Mobile and JavaScript keys are meant for apps and websites, not for this kind of work. If you run several projects, such as one per region, connect a key for each and say which agents may use which.
Does the AI agent respect users' subscription preferences?
The AI agent reads them and checks against them. Before preparing a send, the agent confirms the message type and channel, and its audits flag any campaign whose type does not match what users opted into. Iterable itself applies the preferences when it sends.