TTD AE study materials
TTD AE study resources

TTD AE cheat sheet

TTD AE · Keep the key ideas within reach.

Quick reference

TTD Platform Fundamentals and Advertiser Onboarding

  • The Trade Desk platform organizes accounts hierarchically: partner/advertiser account, then campaigns, then ad groups (line items), then creative and targeting at the ad group level.

  • Each advertiser account holds its own seat, users, permissions, and billing; a seat can access multiple advertiser accounts but data does not automatically pool across advertisers.

  • Onboarding requires advertiser name, currency, time zone, and billing setup; currency and time zone drive reporting and budget interpretation, so they must match the insertion order.

  • User roles separate admin, campaign manager, and reporting-only access; least-privilege assignment is the default for new users.

  • Data ownership: first-party data (CRM, site tags, offline conversions) belongs to the advertiser and stays within that advertiser account unless explicitly shared.

  • Agency/partner hierarchy: a partner seat manages multiple advertiser accounts; cross-advertiser reporting requires the partner-level view, not a single advertiser seat.

  • Pixel and universal pixel deployment is a prerequisite for site-based retargeting and conversion tracking; verify tag firing before launching retargeting campaigns.

  • Naming conventions applied at account, campaign, and ad group level drive downstream reporting filters; inconsistent naming breaks automated reports and QA.

Quick reference

Campaign Setup and Line Item Configuration

  • Campaign holds budget and flight dates; ad groups (line items) hold bid, targeting, creative, and inventory. Budget can be set at campaign or ad group level, not both meaningfully.

  • Ad group bid types: CPM (fixed), CPC, CPA/CPCV (conversion-optimized), and vCPM; the bid type determines what the bid value represents and how pacing behaves.

  • Flight dates and dayparting restrict delivery windows; dayparting uses the ad group's time zone, so confirm time zone before scheduling.

  • Frequency caps are set per ad group or campaign and apply per user per time window; overly tight caps throttle delivery and can cause underdelivery.

  • Creative assignment: multiple creatives in an ad group rotate; rotation is optimized by the platform unless fixed rotation is selected.

  • Budget type: daily vs. total (lifetime). Daily budgets can flex within platform rules; total budgets spread across the flight and stop when exhausted.

  • Conversion tracking must be attached at the ad group level for CPA/optimization bidding; without a conversion pixel the optimizer has no signal.

  • QA checklist: bid type matches goal, budget covers flight, targeting is not over-restrictive, creatives approved, tracking verified before launch.

Quick reference

Audience Targeting and Data Strategy

  • First-party segments: CRM onboarding (hashed email/phone), site retargeting (pixel-based), and offline conversion segments; each has different match rates and refresh cadence.

  • Third-party data segments are licensed and mapped to cookies/IDs; availability varies by region and identity environment, so validate scale before committing budget.

  • Lookalike modeling expands a seed first-party segment; seed size and quality determine reach and performance, and lookalikes refresh as the seed updates.

  • Cross-device identity graph links devices to a household or user; match rate depends on deterministic vs. probabilistic signals.

  • Exclusions: suppress converters from prospecting, and suppress existing customers from acquisition where appropriate; exclusion logic overrides inclusion.

  • Segment overlap and frequency: layering multiple segments can shrink reach; check estimated reach before launch to avoid underdelivery.

  • Data onboarding requires hashed identifiers (SHA-256 typical) and consent compliance; unhashed PII should never be uploaded.

  • Audience refresh: CRM segments update on upload cadence, pixel segments update near real time; stale segments degrade retargeting performance.

Quick reference

Inventory, Deal Types, and Supply Path Optimization

  • Deal types: open exchange (RTB), private marketplace (PMP, invitation-based), preferred deal (fixed price, non-guaranteed), and programmatic guaranteed (fixed price, guaranteed volume).

  • PMP deals carry a deal ID; the deal ID must be attached to the ad group or bid request to access that inventory.

  • SPO (supply path optimization) reduces duplicated auction paths to the same impression, lowering take rates and improving win efficiency.

  • Supply path transparency: prefer direct or short paths to publishers; check reseller chains and fees before enabling a path.

  • Viewability and brand safety controls (pre-bid filters, allow/block lists, IVT filtering) shape available inventory and should be set before bidding.

  • Auction types: first-price and second-price; most modern exchanges run first-price, so bid shading or bid strategy matters for efficiency.

  • Deal priority: guaranteed > preferred > PMP > open, generally; a higher-priority deal can preempt open auction bids for the same impression.

  • Inventory forecasting: estimate available impressions for a deal or exchange before setting budgets; low forecast risks underdelivery.

Quick reference

Bidding, Budgeting, and Pacing Optimization

  • Pacing modes: even (spread evenly across flight), ASAP (spend as fast as possible), and front-loaded; pacing controls how budget is released over time.

  • Bid types map to optimization goal: CPM for reach, CPC for clicks, CPA/CPCV for conversions; the optimizer adjusts bids within the strategy.

  • Effective CPM (eCPM) = total spend / impressions × 1000; compare eCPM across ad groups to spot inefficiency.

  • CPA = spend / conversions; target CPA bidding aims to hit the target while spending the budget, and may underdeliver if the target is too low.

  • Budget pacing formula: expected spend to date = daily budget × elapsed days; variance from actual spend signals over- or under-pacing.

  • Bid floor: the minimum bid to win an impression; bids below floor never win, so a floor above the max bid causes zero delivery.

  • Frequency and recency influence pacing: tight caps or short recency windows reduce available impressions and can slow spend.

  • Optimization requires sufficient conversion volume; low-volume ad groups should use CPM/CPC until data accumulates before switching to CPA.

Quick reference

Measurement, Reporting, and Attribution

  • Attribution models: last touch, first touch, linear, time decay, and position-based; the model determines which touchpoint gets conversion credit.

  • Conversion window: the lookback period after an impression or click during which a conversion is attributed; windows differ by channel and must be aligned.

  • View-through conversions (VTC) credit impressions without a click; click-through conversions (CTC) credit clicks; report both separately to avoid double counting.

  • Reporting dimensions: date, campaign, ad group, creative, audience, inventory source, geography, device; cross-tab carefully to avoid inflated totals.

  • Metrics hierarchy: impressions → clicks → CTR → conversions → CVR → CPA; each stage exposes where the funnel leaks.

  • CTR = clicks / impressions; CVR = conversions / clicks; CPA = spend / conversions; ROAS = revenue / spend.

  • Deduplication: a user may see multiple impressions and click once; attribution rules decide which event counts, so reconcile platform vs. analytics numbers.

  • Incrementality testing (holdout/control groups) measures lift beyond baseline; platform-reported conversions are correlational, not causal, without a control.

Quick reference

Troubleshooting, QA, and Best Practices

  • No delivery: check flight dates, budget exhausted, bid below floor, targeting too narrow, creative rejected, or tracking not firing.

  • Underdelivery: widen audience, raise bid, relax frequency cap, extend flight, or add inventory sources; verify pacing mode is not restricting spend.

  • Overdelivery: daily budget caps and pacing limits; check for budget set at both campaign and ad group level causing double counting.

  • Tracking issues: verify pixel fires, conversion tag placement, deduplication settings, and that the conversion event matches the optimization goal.

  • Creative QA: size, format, landing page URL, and policy compliance; rejected creatives stop delivery for that ad group.

  • Data discrepancy: platform vs. analytics differences come from attribution windows, cookie/ID loss, and deduplication; document the reconciliation method.

  • Change log discipline: record bid, budget, targeting, and creative changes with timestamps; unlogged changes make performance shifts unexplainable.

  • Pre-launch QA: confirm bid type, budget/flight, targeting and exclusions, creatives, tracking, and naming; run a small test before scaling.