Display & Programmatic — Performance Marketing Knowledge Module

Display & Programmatic

Display advertising and programmatic buying across Google Display Network (GDN), DV360, and third-party DSPs. Covers targeting taxonomy, campaign setup, retargeting strategies, frequency management, viewability, brand safety, and optimization. Designed for agents managing upper-funnel awareness and mid-funnel retargeting through display channels.

Content Structure

Programmatic campaigns follow a similar hierarchy to search/social but add supply-side concepts:

Campaign / Insertion Order (budget, flight dates, KPI)
└── Ad Group / Line Item (targeting, bid, frequency cap)
    └── Creative (banner, native, video, rich media)
        └── Placement (where it runs: site, app, exchange)

Key distinction: In programmatic, you buy impressions on an exchange, not clicks on a platform. The buyer (DSP) bids in real-time auctions for each impression based on targeting rules.

Platform	Campaign Level	Targeting Level	Ad Level
GDN (Google)	Campaign	Ad Group	Ad
DV360	Insertion Order	Line Item	Creative
TTD / Other DSP	Campaign	Ad Group	Creative

Key Concepts

Targeting Taxonomy

Targeting Type	How It Works	Best For	Data Source
Contextual	Match ads to page content (keywords, topics)	Brand-safe prospecting, cookieless-ready	Publisher content signals
Audience — 1st party	Your own data (site visitors, CRM lists)	Retargeting, lookalikes	Pixel, CRM upload, CDP
Audience — 3rd party	Purchased audience segments	Prospecting at scale	Data providers (Oracle, Lotame)
Behavioral	Past browsing/purchase behavior	In-market audiences	Platform signals
Demographic	Age, gender, income, education	Broad reach campaigns	Platform/publisher data
Geographic	Country, region, city, radius	Local campaigns, geo-targeting	IP, GPS
Placement	Specific sites, apps, or channels	Premium inventory, brand safety	Direct deals, PMPs
Retargeting	Past visitors to your site/app	Conversion campaigns	Pixel/tag data

Retargeting Strategies

Strategy	How	Audience Window	Use Case
Site retargeting	All site visitors minus converters	7-30 days	General re-engagement
Product retargeting	Viewed specific product/category	7-14 days	Ecommerce, high-intent
Cart abandonment	Added to cart, didn't purchase	3-7 days	Ecommerce, highest intent
Sequential messaging	Different ads based on engagement depth	1-90 days in tiers	Nurture sequences
Cross-sell	Past purchasers, different product	30-90 days	Existing customer expansion
Suppression	Exclude recent converters	7-30 days post-conversion	Prevent waste, improve UX

Frequency Management

Frequency caps by campaign objective:

Objective	Weekly Cap	Daily Cap	Notes
Brand awareness	3-7/week	1-2/day	Peak awareness at 7 exposures (Brand Metrics)
Consideration	3-5/week	2-3/day	Stay top-of-mind during research phase
Conversion/retargeting	5-10/week	3-4/day	Higher for high-intent; cap at 1-2 week windows
B2B long-cycle	1-2/week	0.5-1/day	Maintain presence over months

Diminishing returns curve:

Impressions	Incremental Value	Action
1st	Highest marginal return	—
2-3	Strongest CTR/CVR growth	Recognition building
3-7	Sweet spot — 80% of conversion value	Optimal zone
7-10	~15% of conversion value, ROI declining	Monitor closely
10-12	~2% incremental value, CPA inflating	Cap reached
12+	Negative brand perception increases	Waste zone — stop

Fatigue diagnostic: When CTR drops 15-20% from peak over 7 days while frequency rises, creative fatigue is confirmed. Rotate creative, don't just lower frequency.

Cross-device: Caps per device = overcounting. A 5/week cap per device means 15/week for a 3-device user. Use people-based frequency via device graphs (deterministic or probabilistic). Cross-channel capping improves effectiveness up to 32% (IAS).

Set frequency caps at the line item level. Campaign-level caps don't prevent clustering within a day.

Viewability Standards

MRC/IAB minimum definition:

Format	Pixels In-View	Duration	Industry Avg (2024)
Display banner	50%	1 second	~76% (IAS global)
Large format (>242K px)	30%	1 second	Higher (larger = more visible)
Video	50%	2 seconds	~84% desktop, ~79% mobile (IAS)

GroupM premium standard: 100% of pixels in view. Video requires 50% completion + sound on. This is 2x the MRC baseline and what premium buyers demand.

Viewability by ad size (benchmark):

Size	Avg Viewability	Notes
160x600 (skyscraper)	~67%	Highest among standard units
300x600 (half page)	~66%	Second highest
300x250 (medium rect)	~48%	Most inventory, average viewability
728x90 (leaderboard)	~40%	Often below fold
Above-the-fold (any)	~68%	ATF benchmark
Below-the-fold (any)	~40%	BTF benchmark

vCPM formula: vCPM = Total Spend / ((Impressions × Viewability%) / 1000)

Transact on vCPM, not raw CPM. A $3 CPM at 40% viewability = $7.50 vCPM. A $5 CPM at 80% viewability = $6.25 vCPM — the "expensive" inventory is actually cheaper per viewed impression.

MFA Detection

Made-for-Advertising sites absorb budget with near-zero business value. ANA research: MFA represented 21% of impressions in 2023, now ~6% after industry crackdown — but still present.

Five consensus MFA signals (ANA/4As/WFA):

1. High ad-to-content ratio (>30% mobile, >50% desktop)
2. Rapidly auto-refreshing ad placements
3. High percentage of paid traffic sourcing (little organic audience)
4. Generic, templated, or AI-generated non-unique content
5. Poorly designed, templated website layouts

ACT Classification (DeepSee.io):

Category	Signal	Threshold
Arbitrage	Majority of traffic from paid sources	>50% paid traffic
Clutter	Excessive ad density	Peak >50% screen = auto-reject; avg >35% = high risk
Template	Generic content + cookie-cutter layout	Often AI-generated

Impact: Ads on MFA sites are 50%+ less likely to drive sales attribution. Non-MFA traffic delivers +278% better conversion rates (IAS).

Detection: Use pre-bid MFA filtering (IAS, DoubleVerify) + review top-spending placements monthly against these signals. See references/placement-quality.md for full audit checklist.

Brand Safety

Uses the GARM framework (Global Alliance for Responsible Media): 12 content categories with a Safety Floor (absolute block) and three suitability tiers (Low/Medium/High risk).

Layer	Timing	Purpose	Trade-off
Pre-bid filters	Before auction	Block risky inventory before spending	May exclude valid inventory (strict filters)
Post-bid verification	After ad serves	Discover new patterns, measure actual placement	Money already spent on bad impressions
Exclusion lists	Config	URLs, apps, categories to never bid on	Requires maintenance
Inclusion lists	Config	Approved publishers only (premium campaigns)	Limits reach

Both pre-bid and post-bid are required. Pre-bid alone misses edge cases. Post-bid alone wastes spend on known risks.

Verification vendors (IAS and DoubleVerify are now effectively a duopoly after Oracle sunset MOAT in 2024):

Capability	IAS	DoubleVerify
Pre-bid MFA filtering	Yes	Yes
GARM-aligned categories	Yes	Yes
MRC-accredited IVT	Yes	Yes
CTV coverage	Yes	Yes
Social platform coverage	Yes	Yes
Unique strength	Pre-bid MFA + attention metrics	Brand suitability depth + scale

Cookieless Targeting Strategy

~47% of the open internet is already cookieless (Safari, Firefox, in-app, CTV). Chrome kept third-party cookies (Google shelved deprecation entirely in 2025 and retired Privacy Sandbox ad APIs in Oct 2025), but regulation and user opt-outs make cookie-only targeting insufficient.

Strategy hierarchy (prioritized):

Strategy	Status	Reach	Best For
1. Contextual targeting	Production-ready	Universal	Prospecting, brand-safe, cookieless-ready
2. First-party data	Production-ready	Your audience	Retargeting, lookalikes, highest ROI
3. Universal IDs	Production-ready, partial	Authenticated inventory	Cross-device, CTV
4. Seller-defined audiences	Maturing (IAB standard)	Publisher inventory	Privacy-safe, publisher-curated
5. Data clean rooms	Production-ready, growing	Partner overlap	Attribution, audience enrichment

Contextual performance: 41% lower cost per viewable impression vs behavioral targeting (GumGum data). 93% more memorable than mismatched ads. Market at ~$225B (2025), growing 11%+ CAGR.

Universal ID comparison:

Solution	Type	Strength	Limitation
UID2 (TTD)	Deterministic	Largest ecosystem (200+ partners)	Requires authenticated user
ID5	Hybrid (deterministic + probabilistic)	10B+ signals/day	Probabilistic less precise
LiveRamp RampID	Deterministic	Best offline-to-online bridging	Enterprise pricing

See references/targeting-taxonomy.md for full targeting details.

Inputs & Outputs

Inputs:

• Campaign objective and KPIs (from media-context.md)
• Target audience definition
• Creative assets (banner sizes, video, native)
• Budget and flight dates
• Brand safety requirements
• First-party audience data (pixel, CRM)

Outputs:

• Campaign/line item structure
• Targeting configuration per line item
• Frequency cap settings
• Creative trafficking specs
• Brand safety configuration
• Pacing schedule
• Reporting cadence and KPIs

Modes

Mode	What You're Doing
Build	New campaign setup — structure, targeting, creative, safety
Retargeting setup	Audience segmentation, sequential messaging, suppression
Optimize	Bid adjustments, placement analysis, creative rotation
Audit	Viewability review, brand safety check, frequency analysis
Report	Performance reporting, cross-channel comparison

Common Tasks

1. Build display prospecting campaign — Upper-funnel awareness:

   • Define targeting (contextual + audience layering)
   • Set frequency caps (3-5/week)
   • Configure brand safety filters and exclusions
   • Traffic creative across required sizes (300x250, 728x90, 160x600, 320x50 minimum)
   • Set viewability target (>70%)
   • Configure pacing (even delivery, not front-loaded)

2. Build retargeting campaign — Convert known visitors:

   • Segment audiences by intent level (all visitors → category viewers → cart abandoners)
   • Set different bids per segment (highest for cart abandoners)
   • Configure frequency caps per segment
   • Set up burn pixels to suppress converters
   • Plan sequential messaging (awareness → consideration → urgency)

3. Placement audit — Review where ads are running:

   • Export placement report
   • Flag low-viewability placements (<50%)
   • Flag high-frequency, low-CTR placements
   • Check for made-for-advertising (MFA) sites
   • Add underperformers to exclusion list
   • Identify top-performing placements for allowlist

4. Creative rotation — Manage ad fatigue:

   • Monitor CTR trends per creative
   • Introduce new creative when CTR drops 20%+ from peak
   • A/B test creative concepts (message, visual, format)
   • Ensure all required sizes have fresh creative
   • Retire underperformers (below 0.05% CTR for display)

Tips

• Programmatic is a reach and frequency game. Optimize for viewable reach at target frequency, not raw impressions.
• Contextual targeting is the privacy-safe future. As cookies deprecate, contextual becomes more important than behavioral for prospecting.
• Start with GDN for simplicity, graduate to DV360/TTD for control. GDN is easier to manage but offers less transparency.
• Creative sizes matter. 300x250 and 320x50 get the most inventory. Missing common sizes means missing auctions.
• PMPs (Private Marketplace deals) offer better inventory quality at higher CPMs. Worth it for brand campaigns where context matters.
• Retargeting is the highest-ROI display tactic. Allocate 60-70% of display budget to retargeting when conversion is the goal.

Gotchas

• Made-for-advertising (MFA) sites — Sites designed to generate ad revenue with minimal content. They inflate impression counts with zero conversion value. Use pre-bid MFA filtering (IAS/DV) and review top-spending placements monthly against the 5-signal checklist. MFA ads are 50%+ less likely to drive attribution.
• Cross-device frequency — A frequency cap of 5/week per device means a user on phone + desktop + tablet sees 15 ads. Use deterministic or probabilistic cross-device graphs to manage true frequency.
• View-through attribution inflation — Display campaigns often claim conversions via view-through attribution. A user who saw a display ad and later searched your brand and converted is probably a search conversion. Use incrementality tests to measure true display lift.
• Below-the-fold inventory — The cheapest display inventory is below the fold. Low CPM ≠ good deal if viewability is 20%. Optimize to vCPM.
• Retargeting without suppression — Showing ads to people who already converted wastes budget and annoys customers. Burn pixels should fire on every conversion event.
• Auto-placements on GDN — Google includes mobile app placements by default. These often have accidental clicks and poor quality. Exclude adsenseformobileapps.com and review app categories.

References

• references/targeting-taxonomy.md — detailed targeting options by platform, audience segment definitions, data provider comparison
• references/placement-quality.md — MFA detection checklist, placement scoring rubric, supply chain validation, verification vendor guide

Related Modules

• analytics — view-through attribution, incrementality testing for display
• paid-search — search retargeting audiences, cross-channel budget allocation
• paid-social — audience sharing, creative reuse across channels