TTD AE study plan

Map the end-to-end advertiser onboarding workflow, from account creation through first live line item, and write a one-page flow diagram in your own words

Define the core TTD platform objects (advertiser, campaign, ad group, line item, creative) and state the parent-child relationship and inheritance rules between each level

List the required fields, naming conventions, and approval gates for launching a new advertiser, and flag which steps most often cause onboarding delays

Configure a practice campaign and line item end to end, capturing every setting you touched and why

Compare line item types and bidding strategies available in the platform and match each to a realistic advertiser objective

Set up targeting at campaign versus line item level and identify which settings override the other

Build a line item with dayparting, frequency caps, and creative rotation, then document the expected delivery effect of each

Draft a QA checklist that catches the ten most common configuration errors before launch

Explain how first-party, second-party, and third-party data enter the platform and what consent and matching requirements apply to each

Build audience segments from first-party data and from platform-provided taxonomies, and describe when to use each

Configure a line item that layers demographic, behavioral, and contextual targeting, and predict the reach impact of each added layer

Identify the trade-off between audience precision and scale and articulate it in advertiser-facing language

Distinguish open exchange, private marketplace, preferred deal, and programmatic guaranteed inventory and state who controls price and priority in each

Explain how supply path optimization reduces cost and latency, and list the signals used to evaluate a path

Compare inventory quality signals such as viewability, domain lists, and brand safety controls, and decide when to apply each

Select an appropriate deal type for three contrasting campaign briefs and justify each choice

Explain how base bid, bid modifiers, and predictive clearing interact, and when a modifier is the wrong tool

Set budget at campaign and line item level and describe how budget caps interact with pacing modes

Diagnose three pacing scenarios (underspend, overspend, uneven intraday delivery) and prescribe a corrective action for each

Calculate effective CPM and marginal cost per additional impression from a sample bid and win-rate table

Define the standard funnel metrics and state which metric answers which advertiser question

Configure conversion tracking and explain the attribution models available and how each changes reported results

Reconcile a platform report against an advertiser-side source and explain the expected sources of discrepancy

Build a reporting view that separates prospecting from retargeting performance

Diagnose a no-delivery line item by working through inventory, targeting, bid, budget, and creative checks in order

Identify the root causes behind common reporting anomalies such as sudden spend spikes and attribution lag

Write a triage runbook that maps a symptom to a likely cause and a first diagnostic step

Audit a completed campaign build against best practices and list every deviation found

Consolidate all prior deliverables into a single reference document organized by exam domain

Complete a timed full-length practice set and score each domain separately

Re-study only the two weakest domains and rewrite their key concepts from memory

Restate each domain's core concepts aloud without notes to confirm retention