Iterable Foundations Certification study plan

Map the full campaign creation workflow from list selection through send scheduling, writing each screen's required inputs in your own words

Differentiate one-off blast campaigns from recurring and triggered campaign types by listing the trigger condition and audience refresh behavior of each

Explain how audience segmentation criteria attach to a campaign and where they can diverge from a saved audience

Set up a test project and create three draft campaigns with distinct send schedules without launching them

Describe template and content composition for email, SMS, and push, including how personalization fields resolve at send time

Compare static, dynamic, and event-triggered segmentation logic and state when each is appropriate

Trace how an audience update propagates to a scheduled campaign that has not yet sent

Draft a send-time and frequency-capping checklist for a multi-channel campaign

Diagram the journey building blocks: entry sources, wait steps, decision splits, message nodes, and exit rules

Distinguish journey entry restrictions from re-entry rules and predict which contacts qualify under each combination

Explain how a contact's journey state interacts with a campaign sent to the same audience

Build a three-step welcome journey in a sandbox and force a contact through every branch

Explain how catalog items, item collections, and recommendation logic are referenced inside journey message nodes

Describe how catalog data feeds personalized recommendations and what happens when an item is unavailable or out of stock

Compare journey timing options such as delays, wait-until conditions, and time-zone-aware sends

Diagnose three common journey failure modes: contacts stuck at a wait, duplicate entry, and messages not sending

Model a product catalog hierarchy with categories, variants, and attributes and explain how each level affects filtering

Describe how catalog events and browsing behavior update a contact's recommendation profile

Identify which metrics measure catalog-driven messages versus general campaign performance

Interpret a delivered-versus-opened funnel and separate content effects from deliverability effects

Define the core reporting metrics: sent, delivered, open, click, conversion, and unsubscribe, and state the denominator for each

Explain attribution windows and how changing the window changes the reported conversion count

Compare aggregate campaign reporting with journey-level and experiment-level reporting

Read a cohort-style report and explain why a later send can show a lower open rate without performing worse

Rehearse the full lifecycle: audience built, campaign or journey configured, catalog content attached, results measured

Complete a timed 60-question mixed practice set and tag every miss by domain

Rewrite your weakest five explanations from memory without notes

List the three domain areas where your practice accuracy stayed below 75 percent

Close the remediation list by re-teaching each weak topic aloud in under two minutes

Take a second timed practice set and compare per-domain accuracy with week 7

Review every previously missed question and state the correct reasoning before checking the answer

Confirm logistics: exam format, time limit, and allowed reference materials