Programmatic display does not drive clicks. It drives brand search lift. Companies exposed to your programmatic ads become 3.4x more likely to Google your brand name and convert through search. We built the attribution model that proves this full-funnel impact — and changed how an entire C-suite thinks about awareness spending.
The reason programmatic gets killed in budget reviews is that nobody measures it correctly. CTR is the wrong metric. Brand search lift is the right one.
Brand search lift measurement methodology proving that display-exposed audiences are 3.4x more likely to Google your brand name and convert — with controlled geographic holdout data the board cannot argue with.
View-through conversion attribution and brand search lift studies that measure the actual business impact of display: downstream search behavior, demo requests, and pipeline influence.
Bombora and similar intent data integration targeting only companies actively researching your product category, combined with firmographic filters matching your ideal customer profile.
Curated premium inventory with inclusion lists, DV360 managed service placements, and multi-layer brand safety with DoubleVerify or IAS verification on every impression.
Full supply path transparency showing exactly where your ads run, what inventory costs, where platform fees go, and your effective working media percentage.
Cookieless targeting strategies using contextual signals, first-party CRM data onboarding, intent data, and publisher direct deals that do not depend on third-party cookies.
Cross-channel attribution model connecting programmatic impressions to downstream search behavior, website visits, demo requests, and CRM pipeline progression.
Audience expansion strategies building retargeting pools from 0 to 47K+ qualified visitors in 90 days through coordinated prospecting and intent-data targeting.
Eight capabilities designed around a singular truth: programmatic creates demand that converts through other channels. Our job is to prove that attribution chain with data.
Our proprietary approach to proving programmatic ROI by measuring the increase in branded search volume and search-driven conversions in markets where programmatic is running versus control markets where it is not.
Expert management across leading DSPs including DV360, The Trade Desk, and Amazon DSP with inventory curation and supply path optimization.
Audience targeting powered by Bombora intent data and firmographic filters ensuring every impression reaches companies actively researching your product category.
Pre-roll, mid-roll, outstream, and Connected TV video campaigns reaching audiences across premium video content with completion rate optimization.
High-impact display and native advertising across premium publisher environments with viewability optimization and dynamic creative personalization.
Multi-layer brand safety ensuring every impression runs in a quality, brand-safe environment with full transparency.
Display, video, and native ad creative produced at scale with dynamic personalization for audience-specific messaging.
Attribution models connecting programmatic impressions to downstream conversions across search, website visits, and CRM pipeline stages.
NovaShield Security board said display advertising does not work for enterprise cybersecurity. They were measuring CTR, which was 0.07%. We designed a brand search lift study with geographic holdouts — markets where programmatic ran versus control markets where it did not. The result: companies exposed to programmatic display were 3.4x more likely to Google NovaShield brand name and book a demo through search. Brand search volume increased 67% in programmatic markets. Display did not drive clicks. It drove the search behavior that drives revenue.
The geographic holdout study showed that display-exposed companies were 3.4x more likely to search NovaShield brand name and convert through branded search. This attribution chain is invisible to CTR-based measurement.
In markets where programmatic ran, branded search volume increased 67% compared to control markets. This search volume drove demo requests attributed to search campaigns but actually originated from display awareness.
By building a 47K qualified retargeting pool in 90 days through intent-data prospecting and then nurturing with multi-touch display, NovaShield generated 340 MQLs from a channel that "does not work."
View-through conversion tracking attributed 23% of demo requests to display awareness. These were prospects who saw display ads, did not click, but later visited the site and converted — invisible without view-through tracking.
Bombora intent data combined with firmographic filters delivered targeted impressions at $4.20 CPM — reaching only companies actively researching cybersecurity solutions, not spraying impressions across the open web.
Brand search volume increase in programmatic markets
The exact process we use to prove programmatic ROI through brand search lift — designed to convince even the most skeptical board that display drives measurable revenue.
Design the brand search lift study: select test and control markets matched by size and demographics, establish baseline branded search volume in both, configure intent data targeting, and set up view-through conversion tracking. Define statistical significance thresholds for declaring lift.
Build intent-data audience segments using Bombora topic data and firmographic filters. Curate premium inventory with inclusion lists. Configure brand safety controls and viewability targeting. Onboard first-party CRM data through LiveRamp for retargeting and suppression.
Produce display, video, and native creative across all formats. Build campaigns in DV360 or Trade Desk with audience targeting, frequency caps, and viewability optimization. Configure cross-channel tracking connecting display impressions to search behavior.
Run campaigns in test markets while monitoring control markets. Track branded search volume weekly in both. Monitor view-through conversions, retargeting pool growth, and website visit patterns. Optimize creative, audiences, and inventory based on performance signals.
Analyze brand search lift between test and control markets with statistical significance testing. Calculate view-through conversion attribution. Build cross-channel attribution model connecting display exposure to search conversions and CRM pipeline. Prepare board-ready brand lift study report.
Expand programmatic to additional markets based on proven lift. Continuously optimize audiences, creative, and inventory. Monthly reporting with attribution analysis and strategic recommendations for programmatic investment levels.
Account-based programmatic targeting enterprise buyers with intent data, brand search lift measurement, and pipeline attribution for cybersecurity, SaaS, and tech companies.
Dynamic product retargeting and prospecting across premium publisher environments with full-funnel attribution connecting display to online and in-store purchase.
Compliant display and video campaigns for banking, insurance, and investment products with regulated creative and premium placement controls.
Model launch campaigns, in-market auto intender targeting, dealer proximity targeting, and foot traffic measurement for automotive manufacturers.
HCP and DTC programmatic with regulatory-compliant creative, contextual targeting on medical publications, and brand lift measurement for awareness campaigns.
Dynamic travel ads with destination-specific creative, cross-device booking attribution, and seasonal campaign scaling for travel and hospitality brands.
An enterprise cybersecurity company whose board had written off display advertising because CTR was 0.07% and nobody could prove it influenced pipeline. They were spending exclusively on search and LinkedIn.
The C-suite dismissed programmatic because the only metric anyone measured was CTR, which was 0.07%. No view-through attribution existed. No brand search lift measurement existed. The company had zero top-of-funnel awareness investment, which meant search campaigns were only capturing demand that already existed — a shrinking pool as competitors increased their own awareness spending.
Designed a brand search lift study with geographic holdouts: 6 test markets with programmatic running, 6 matched control markets without. Built custom audience segments using Bombora intent data targeting companies actively researching cybersecurity solutions, filtered by firmographics matching ICP. Deployed display and video across DV360 managed service with curated premium inventory. Implemented view-through conversion tracking connecting display impressions to downstream search behavior and demo requests. Built retargeting pool from 0 to 47K qualified visitors in 90 days.
“Our board said display advertising does not work for enterprise cybersecurity. Sadia proved them wrong by showing that companies exposed to our programmatic display were 3.4x more likely to Google our brand name and book a demo. The brand search lift study changed how our entire C-suite thinks about awareness spending.”
CTR is the wrong metric for programmatic. Display advertising drives awareness that converts through other channels, primarily branded search. Our brand search lift methodology uses geographic holdouts — test markets where programmatic runs and matched control markets where it does not — to measure the increase in branded search volume and search-driven conversions caused by display exposure. For NovaShield Security, this study showed that display-exposed companies were 3.4x more likely to Google the brand name and 67% higher branded search volume in test markets. The attribution chain is display impression to brand awareness to search query to website visit to demo request — invisible without the holdout study.
View-through attribution tracks users who see a display ad, do not click, but later visit your website and convert through another channel like search or direct navigation. For NovaShield Security, view-through attribution showed that 23% of demo requests came from users who had been exposed to display ads but never clicked them. Without view-through tracking, these conversions would be attributed entirely to search or direct, making display appear to contribute nothing. It is the single most important measurement for proving display ROI because it captures the indirect influence that is the entire purpose of display advertising.
Bombora aggregates anonymous web behavior data across thousands of B2B websites to identify which companies are actively researching specific topics. Instead of targeting "IT decision-makers" broadly, we target companies where multiple employees are currently reading cybersecurity content, visiting comparison sites, and consuming solution-evaluation material. Combined with firmographic filters matching your ideal customer profile — company size, industry, revenue range — this ensures every impression reaches a company with active purchase intent. For NovaShield Security, Bombora intent data combined with firmographic filters delivered $4.20 CPM because we targeted a precise audience, not the open web.
We select 6-12 geographic market pairs matched by population size, demographics, and current branded search baseline. Half become test markets where programmatic runs. Half become control markets where it does not. We measure branded search volume weekly in both groups using Google Trends data, Search Console impressions, and third-party search volume tools. After 90 days of campaign execution, we calculate the lift in branded search volume in test markets versus control markets, test for statistical significance, and attribute the incremental search-driven conversions to programmatic display exposure. The result is a board-ready report showing the exact revenue contribution of display advertising with controlled scientific methodology.
We recommend $15,000-$25,000 monthly for a meaningful programmatic campaign with brand search lift measurement. The budget needs to be sufficient to deliver meaningful impression volume in test markets while the control markets run without programmatic. For enterprise B2B, we typically recommend $25,000+ monthly because audience sizes are smaller and intent-data CPMs are higher than open exchange rates. NovaShield Security campaign delivered 2.3M targeted impressions at $4.20 CPM, generating 340 MQLs and building a 47K retargeting pool. The per-MQL cost was competitive with their LinkedIn campaigns while also building the brand awareness pipeline their search campaigns were missing.
Five layers of protection. Pre-bid brand safety filters through DoubleVerify or IAS block impressions before they are purchased if the page fails safety checks. Curated inclusion lists restrict delivery to verified premium publishers specific to your industry. Category exclusions block harmful, political, and sensitive content categories. Real-time monitoring alerts our team to any placement quality issues for immediate investigation. Post-campaign quality audits verify that every impression ran in a brand-safe environment. We maintain zero brand safety incidents across all programmatic campaigns under our management.
Programmatic is specifically designed to complement search and social by filling the top-of-funnel awareness gap. Search captures existing demand. Social targets known audience profiles. Programmatic reaches your ideal buyers across the open web, building awareness that then converts through search. For NovaShield Security, the addition of programmatic increased branded search volume by 67%, meaning their existing search campaigns had 67% more demand to capture. The full-funnel effect is multiplicative: display builds awareness, awareness drives search, search drives conversions. Attribution modeling tracks this entire chain so you see the combined ROI of all channels working together.
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