Google has released three significant updates to its Demand Gen campaign format in January 2026, transforming the platform from an awareness-focused channel into a full-funnel performance engine. The updates include Shoppable CTV for connected television, Attributed Branded Searches for measuring brand impact, and Travel Feeds for hospitality advertisers. These features now move into general availability after successful testing periods, giving advertisers new tools to drive conversions while maintaining competitive cost-per-acquisition metrics.
Understanding Google Demand Gen: Context and Evolution
Google Demand Gen campaigns launched in June 2023 as a replacement for Discovery campaigns, designed to capture engagement across YouTube (including Shorts), Discover, Gmail, and the Google Display Network. The campaign type uses artificial intelligence to deliver visually compelling ads where consumers actively browse and explore content, positioning brands at critical moments in the customer journey.
Unlike Performance Max campaigns that cast a wider net across all Google inventory with minimal targeting control, Demand Gen provides advertisers with specific audience targeting options while maintaining the visual storytelling capabilities needed for upper-funnel engagement. The platform targets users in awareness and consideration stages, though recent updates increasingly blur the line between upper and lower funnel activities.
According to Google’s support documentation, Demand Gen campaigns work best for advertisers who want to serve visually-appealing, multi-format ads on Google’s most impactful surfaces. The campaign type supports image carousels, videos, and product feeds, allowing brands to tell comprehensive stories while maintaining performance accountability.
The January 2026 updates represent a strategic shift in how Google positions Demand Gen within its advertising ecosystem. By adding commerce functionality through Shoppable CTV, measurement capabilities via Attributed Branded Searches, and travel-specific automation with Travel Feeds, Google addresses three critical gaps that previously limited Demand Gen’s appeal to performance-focused advertisers.
Shoppable CTV: Turning Television Viewing Into Commerce Opportunities
The first major update brings shoppable functionality to connected television through Demand Gen campaigns. Shoppable CTV enables viewers to browse and purchase products directly from YouTube ads while watching content on television screens, fundamentally changing how advertisers approach TV advertising.
How Shoppable CTV Functions
When viewers see a Demand Gen ad on their connected TV, an interactive product feed appears on the side of the screen. Users can navigate this feed using their television remote control, browsing multiple products without leaving their viewing experience. The feature essentially transforms passive television impressions into active shopping opportunities, removing friction from the path to purchase.
Google’s implementation requires advertisers to connect product feeds to their Demand Gen campaigns. The system automatically builds dynamic ads using product images, names, and prices from the feed. These ads display products alongside video content, giving viewers the ability to explore offerings while maintaining engagement with the primary content.
The product feed interface acts as a digital storefront, allowing viewers to examine multiple items, view pricing, and access purchasing information. This approach differs from traditional direct-response television advertising by providing immediate interactivity rather than requiring viewers to remember information or switch devices.
Performance Data from Shoppable CTV
Google reports that Demand Gen campaigns incorporating TV screens drive an average of 7% additional conversions while maintaining the same return on investment as campaigns without TV components. This incremental lift suggests that television audiences represent a distinct segment with unique purchase behaviors, rather than simply duplicating results from other placements.
The 7% incremental conversion figure comes from Google’s internal data analysis across multiple advertisers. The metric specifically measures conversions attributed to TV screen exposure that would not have occurred through other Demand Gen placements, using Google’s attribution models to isolate the TV impact.
For context, a 7% incremental conversion lift at maintained ROI means advertisers can expand their reach into premium television inventory without sacrificing efficiency. If a campaign previously generated 1,000 conversions across YouTube mobile and desktop placements, adding TV screens would theoretically increase total conversions to 1,070 while keeping cost per acquisition stable.
Implementation Requirements and Considerations
Advertisers wanting to use Shoppable CTV must first establish product feeds within Google Merchant Center, then connect these feeds to their Demand Gen campaigns. The product feed must include accurate pricing, availability, and product imagery that meets Google’s specifications for television display.
Creative assets for Shoppable CTV should account for television viewing contexts. Images must be clear and recognizable on large screens from typical viewing distances. Product names and prices need to be legible without requiring viewers to move closer to their screens. Google recommends testing creative specifically for TV environments rather than repurposing assets designed for mobile viewing.
The feature works across major connected TV platforms where YouTube is available, including smart TVs, streaming devices like Roku and Amazon Fire TV, and gaming consoles. Advertisers cannot currently segment TV inventory from other Demand Gen placements in campaign setup, meaning campaigns targeting all Demand Gen surfaces will automatically include TV when Shoppable CTV is enabled.
Attributed Branded Searches: Measuring Upper-Funnel Impact
The second major update provides visibility into how Demand Gen campaigns drive branded search activity. Attributed Branded Searches tracks when users who view Demand Gen ads subsequently search for the advertiser’s brand on Google or YouTube, helping quantify upper-funnel impact through downstream search behavior.
Measurement Methodology and Attribution Windows
Attributed Branded Searches uses a 30-day view-through conversion window. If a user sees a Demand Gen ad and then searches for the advertiser’s brand name within 30 days, Google counts this as an attributed branded search. The feature specifically tracks searches that include brand names or closely related branded terms that advertisers define through brand mapping.
The measurement operates as a conversion action within Google Ads, appearing in campaign reporting alongside other conversion types. Advertisers can view Attributed Branded Searches in standard conversion columns, attribution reports, and audience insights, allowing integration with existing reporting workflows.
Google requires advertisers to work with their Google representative to activate Attributed Branded Searches. The activation process includes defining which search terms count as branded queries for the business. This brand mapping ensures accurate measurement by excluding generic terms and including brand-specific misspellings or variations that users might employ when searching.
Strategic Value for Advertisers
Attributed Branded Searches addresses a persistent challenge in digital advertising measurement: demonstrating that upper-funnel awareness campaigns generate tangible business impact beyond impressions and view-through rates. By tracking subsequent search behavior, advertisers gain evidence that their Demand Gen campaigns influence user intent.
The metric proves particularly valuable when justifying upper-funnel budget allocation. Traditional awareness metrics like reach, frequency, and video completion rate indicate message delivery but don’t necessarily demonstrate business outcomes. Attributed Branded Searches connects awareness exposure to measurable user actions, creating a clearer line between campaign investment and business results.
For example, a Demand Gen campaign might show a 2% conversion rate on direct actions like click-throughs to website. However, Attributed Branded Searches might reveal that the campaign drove 5,000 additional branded searches within 30 days. If the advertiser knows their branded search conversion rate, they can calculate the total downstream impact of the Demand Gen campaign beyond immediate responses.
Comparison to Traditional Brand Lift Studies
Attributed Branded Searches differs from Google’s existing brand lift measurement tools in several ways. Traditional brand lift studies use survey methodology, showing ads to a test group while withholding ads from a control group, then surveying both groups about brand awareness, consideration, and recall. Brand lift studies measure attitudinal changes through statistical sampling.
Attributed Branded Searches, by contrast, measures actual behavior. Rather than asking users if they remember a brand, the feature tracks whether users actively searched for the brand. This behavioral measurement provides complementary data to attitudinal brand lift metrics, showing not just awareness but demonstrated interest through search activity.
The two measurement approaches serve different purposes. Brand lift studies excel at measuring early-stage awareness among users who may not yet be ready to search. Attributed Branded Searches captures users who progressed from awareness to active consideration, indicated by their decision to search for more information.
Travel Feeds: Dynamic Video Advertising for Hospitality
The third update specifically targets travel and hospitality advertisers. Travel Feeds allow advertisers to connect their Hotel Center feeds to Demand Gen campaigns, automatically generating dynamic video ads featuring real-time hotel pricing, ratings, and availability information.
Technical Implementation
Advertisers with existing Hotel Center feeds can now link these feeds to Demand Gen campaigns through campaign settings. Google’s system automatically pulls property information including images, names, pricing, guest ratings, and availability status from the Hotel Center feed, then incorporates this data into video ad creative.
The dynamic nature of Travel Feeds means pricing and availability update automatically as inventory changes. If a hotel’s rates decrease or availability becomes limited, the Demand Gen ads reflect these changes without requiring manual creative updates. This real-time synchronization ensures users see accurate information, reducing friction in the booking process.
According to Google’s support documentation, the system builds video ads that showcase hotel properties within engaging video formats. The ads can highlight multiple properties from a hotel chain or feature specific properties targeted to users based on their search behavior and interests. Visual elements from the Hotel Center feed, including property photos and location imagery, integrate with video creative to create compelling presentations.
Benefits for Travel Advertisers
Travel Feeds address a specific challenge in hospitality advertising: maintaining creative relevance as pricing and availability fluctuate. Hotel rates change frequently based on demand, seasonality, and inventory levels. Traditional video advertising requires advertisers to manually update creative when prices change, creating either outdated information or constant creative refreshes.
By automating creative generation based on feed data, Travel Feeds eliminate this maintenance burden. Advertisers set up the feed connection once, then the system handles ongoing creative updates as pricing changes. This automation allows travel advertisers to scale video advertising without proportionally scaling creative production resources.
The feature also shortens the path from browsing to booking. When users see specific pricing and availability in video ads, they gain the information needed to make booking decisions earlier in their journey. Rather than viewing generic brand advertising and then searching separately for pricing information, users receive comprehensive details within the initial ad exposure.
Audience Targeting for Travel Campaigns
Travel Feeds work within Demand Gen’s existing audience targeting capabilities. Advertisers can target users based on travel intent signals, including searches for destinations, competitive hotel properties, or travel-related content consumption. Google’s audience targeting can identify users in early trip planning stages, allowing travel advertisers to influence consideration before users visit online travel agencies or conduct specific hotel searches.
The combination of targeted reach and dynamic product information creates opportunities for travel brands to compete effectively for bookings. When users early in travel planning see specific hotel options with current pricing, advertisers can build brand preference and potentially drive direct bookings rather than losing customers to aggregator platforms.
Competitive Context: Demand Gen vs. Performance Max
Understanding where Demand Gen fits within Google’s campaign portfolio requires examining its relationship to Performance Max, Google’s other AI-powered campaign type. The two formats share similarities but serve different strategic purposes, with the January 2026 updates further clarifying their distinct roles.
Placement and Inventory Differences
Performance Max campaigns run across all Google inventory, including Search, Display, YouTube, Gmail, Discover, Maps, and Shopping. The campaign type uses Google’s AI to automatically allocate budget across these placements based on predicted conversion probability. Advertisers provide creative assets and conversion goals, then Google determines where and when to serve ads.
Demand Gen campaigns run on a subset of this inventory: YouTube, Discover, Gmail, and Display. Notably, Demand Gen campaigns do not appear in Google Search results or Shopping ads. This placement limitation positions Demand Gen as a visual storytelling channel rather than a direct response search format.
According to analysis from Seer Interactive, Performance Max relies more heavily on AI automation, giving Google substantial control over targeting and placement decisions. Demand Gen provides more advertiser control, particularly around audience targeting. While Performance Max uses audience signals that Google may expand beyond, Demand Gen allows advertisers to target specific audiences without automatic expansion if they opt out of optimized targeting.
Strategic Use Cases
Performance Max works best for advertisers prioritizing scale and efficiency across the entire customer journey. The campaign type excels at finding conversions wherever they occur across Google’s properties, making it suitable for advertisers with proven conversion tracking and clear attribution models. Performance Max generally drives higher conversion volumes but may sacrifice some targeting precision.
Demand Gen serves advertisers who prioritize targeting control and visual engagement. The campaign type suits brands focusing on awareness and consideration stages, or those wanting to reach specific audiences with compelling visual stories. Demand Gen typically generates lower conversion volumes than Performance Max but may deliver higher quality engagement from more precisely targeted audiences.
The Shoppable CTV and Travel Feeds updates blur this distinction by adding commerce functionality to Demand Gen. These features move Demand Gen closer to Performance Max’s full-funnel capabilities while maintaining Demand Gen’s emphasis on visual storytelling and targeting control. Advertisers can now drive direct conversions through Demand Gen without sacrificing the targeting precision that differentiates the format from Performance Max.
Budget Allocation Strategies
Many advertisers run both campaign types simultaneously, using them for different funnel stages. A common approach allocates Performance Max campaigns to lower-funnel conversion objectives with established product feeds and strong conversion tracking. Demand Gen campaigns target upper and mid-funnel objectives, building awareness and consideration among new audiences.
Industry practitioners recommend testing both formats with sufficient budget and time horizons to generate meaningful data. Seer Interactive suggests 4-6 week testing periods, though duration depends on budget levels and conversion volumes. Performance Max can start with lower budgets than Demand Gen, making it more accessible for initial testing.
According to Reddit discussions among PPC practitioners, Demand Gen performs particularly well when advertisers opt out of optimized targeting and maintain strict audience control. This configuration treats Demand Gen as an extension of paid social advertising, maintaining the targeting precision social advertisers expect while accessing Google’s inventory.
Case Study: LG Electronics Performance Data
Google’s announcement highlights LG Electronics as a case study demonstrating Demand Gen’s effectiveness. The consumer electronics manufacturer achieved measurable performance improvements using Demand Gen campaigns compared to paid social alternatives.
Reported Performance Metrics
LG Electronics reported three key performance indicators from their Demand Gen campaigns:
- 24% higher conversion rate compared to paid social campaigns
- 48% improvement in click-through rate compared to paid social
- 91% lower cost per acquisition compared to paid social
These metrics come from LG Electronics’ internal campaign data comparing Demand Gen performance to their social media advertising across platforms like Facebook and Instagram. The comparison provides context for advertisers evaluating whether to shift budget from paid social to Demand Gen.
Interpreting the Results
The 24% higher conversion rate indicates that users reached through Demand Gen campaigns converted at a higher rate than users from social advertising. This could reflect several factors: audience quality differences between Google’s inventory and social platforms, creative performance advantages in Google’s formats, or intent differences between users browsing social feeds versus YouTube and Discover content.
The 91% lower cost per acquisition represents a substantial efficiency gain. If LG Electronics paid $100 per acquisition on paid social, the equivalent Demand Gen CPA would be approximately $9. Such dramatic cost differences typically indicate either significant inefficiencies in the comparison channel or exceptionally strong audience fit in the new channel.
Google’s case study presentation suggests LG Electronics achieved these results by reaching high-value customers through Demand Gen’s targeting capabilities. The ability to target specific audiences based on Google’s intent signals and content consumption patterns may have allowed LG Electronics to reach users with stronger purchase intent than social advertising’s demographic and interest targeting provided.
Limitations of Single Case Studies
While LG Electronics’ results demonstrate Demand Gen’s potential, individual case studies have inherent limitations. Performance varies significantly based on industry, product categories, existing campaign optimization, and competitive dynamics. Advertisers should treat case studies as proof of possibility rather than expected results.
The comparison specifically contrasts Demand Gen with paid social, not with other Google campaign types. Advertisers already investing in Performance Max or traditional YouTube campaigns might see different relative performance than advertisers shifting budget primarily from social platforms. The case study addresses social advertisers evaluating Google alternatives rather than Google advertisers optimizing within the platform.
Implementation Guidance and Best Practices
Advertisers wanting to leverage the new Demand Gen features should follow structured implementation approaches to maximize performance while managing costs.
Getting Started with Shoppable CTV
Begin Shoppable CTV implementation by ensuring product feeds meet Google Merchant Center requirements. Product data must include high-quality images that display well on television screens, accurate pricing updated in real-time, and complete product information including titles, descriptions, and availability.
Test creative assets specifically for television environments. Review how product imagery appears on large screens from typical viewing distances. Ensure text elements like product names and prices are legible without requiring viewers to move closer to screens. Consider that television viewers typically consume content from further away than mobile or desktop users.
Start with a subset of products rather than entire catalogs. Testing Shoppable CTV with top-selling items or products with strong visual appeal allows advertisers to understand performance patterns before scaling. Monitor which product categories generate engagement and conversions on TV screens versus other placements.
Activating Attributed Branded Searches
Contact your Google representative to activate Attributed Branded Searches for your account. During activation, work with Google to define brand mapping—specifying which search terms count as branded queries. Include brand name variations, common misspellings, and branded product names while excluding generic terms.
Once activated, establish baseline metrics before running campaigns. Understand your typical branded search volume and conversion rates from branded queries. This baseline allows you to measure incremental impact from Demand Gen campaigns rather than simply observing total branded search volume.
Integrate Attributed Branded Searches into your measurement framework. Add the metric to dashboards alongside direct conversions, viewing it as a leading indicator of consideration-stage impact. Consider the combined value of direct conversions and attributed branded searches when calculating campaign ROI, particularly for upper-funnel objectives.
Implementing Travel Feeds
Travel advertisers should start by connecting existing Hotel Center feeds to new Demand Gen campaigns. Ensure feed data includes current pricing, availability, guest ratings, and high-quality property imagery. The quality of feed data directly impacts creative quality and user experience.
Target audiences based on travel intent signals. Use Google’s audience targeting to reach users searching for destinations, exploring travel content, or demonstrating interest in competitive properties. Layer geographic targeting to focus on source markets with strong booking potential for your properties.
Monitor performance at the property level if representing multiple hotels. Some properties may generate stronger engagement and conversion rates through video advertising than others. Use property-level performance data to optimize feed prioritization and budget allocation across portfolio properties.
Budget and Testing Recommendations
Allocate sufficient budget for meaningful testing periods. Demand Gen campaigns require time to accumulate data and optimize delivery. Industry recommendations suggest 4-6 week minimum testing periods, though specific duration depends on daily budget and conversion volume.
Start with focused targeting rather than broad audience expansion. Begin with audiences showing clear purchase intent or strong brand affinity, then expand to broader audiences once core targeting proves effective. This approach builds campaign learning on high-quality conversions before scaling reach.
Implement proper conversion tracking before launching campaigns. All three updates—Shoppable CTV, Attributed Branded Searches, and Travel Feeds—require accurate conversion measurement to demonstrate value. Ensure tracking captures conversions across devices and properly attributes them to campaign exposure.
Industry Implications and Strategic Considerations
The January 2026 Demand Gen updates signal broader shifts in digital advertising strategy and platform capabilities that extend beyond Google’s specific features.
Convergence of Awareness and Performance Advertising
The updates represent continued convergence between upper-funnel awareness advertising and lower-funnel performance marketing. Traditionally, these represented distinct disciplines with separate budgets, teams, and success metrics. Awareness advertising focused on reach and brand metrics, while performance marketing emphasized conversions and return on ad spend.
Shoppable CTV exemplifies this convergence by adding direct commerce functionality to television advertising, historically an awareness-focused medium. Attributed Branded Searches connects awareness exposure to measurable behavior, creating accountability for campaigns previously evaluated primarily on reach metrics.
This convergence affects how advertisers structure teams and budgets. Organizations historically separating brand and performance marketing may need integrated approaches that evaluate campaigns across the full funnel. Success metrics increasingly need to account for both immediate conversions and longer-term brand impact measurable through metrics like attributed branded searches.
Competition with Social Platforms
Google’s explicit positioning of Demand Gen as a paid social alternative—highlighted through the LG Electronics case study comparing Demand Gen to social advertising—reflects competitive dynamics in the digital advertising market. Social platforms have captured substantial upper-funnel advertising budgets through visually engaging formats and sophisticated targeting.
By adding shoppable functionality, improving measurement, and highlighting cost efficiency versus social platforms, Google directly competes for these budgets. The strategy acknowledges that many advertisers evaluate Demand Gen not against other Google products but against social advertising alternatives.
This competition benefits advertisers through improved platform capabilities and potentially better pricing. As platforms compete for upper-funnel budgets, they invest in features that address advertiser needs around measurement, targeting control, and performance accountability.
Connected TV Advertising Evolution
Shoppable CTV represents broader evolution in connected television advertising. Traditional TV advertising offered massive reach with limited interactivity and accountability. CTV maintains TV’s engaging, lean-back viewing experience while adding interactivity, measurement, and targeting capabilities from digital advertising.
The ability to browse and purchase products directly from TV ads challenges assumptions about television’s role in the customer journey. Rather than serving primarily awareness functions, television advertising can now drive direct conversions and immediate purchases, particularly for visually compelling products.
This evolution affects budget allocation decisions. Advertisers previously treating television primarily as a brand-building channel may shift TV budgets toward performance objectives. The 7% incremental conversion lift Google reports from TV screens suggests television audiences convert at sufficient rates to justify performance marketing investment.
Measurement and Attribution Challenges
While the new Demand Gen features improve measurement capabilities, they also introduce complexity in attribution and performance evaluation.
Multi-Touch Attribution Complexity
Attributed Branded Searches tracks one step in potentially multi-touch customer journeys. A user might see a Demand Gen ad, later search for the brand name, click a search ad, and eventually convert. Multiple campaigns and touchpoints contribute to this conversion, raising questions about credit allocation.
Google’s attribution models distribute conversion credit across touchpoints, but different models yield different insights. Data-driven attribution might assign significant credit to the initial Demand Gen exposure, while last-click attribution would credit the final search ad. Advertisers need to understand which attribution model applies to Attributed Branded Searches and how this affects performance evaluation.
The 30-day attribution window for Attributed Branded Searches may overlap with other marketing activities. A user seeing a Demand Gen ad might also encounter email marketing, social advertising, or traditional media before searching for the brand. Isolating Demand Gen’s specific impact becomes challenging when multiple channels operate simultaneously.
Incrementality vs. Attribution
Attribution measures which marketing touchpoints occurred before conversions, but doesn’t necessarily prove these touchpoints caused conversions. Some users might have searched for the brand and converted even without seeing Demand Gen ads. True incrementality measurement requires controlled experiments comparing outcomes with and without campaign exposure.
Google’s claim that Demand Gen drives 7% incremental conversions from TV screens likely comes from incrementality testing rather than attribution alone. This incremental lift represents conversions that wouldn’t have occurred without TV exposure, isolating the TV impact from other campaign elements.
Advertisers evaluating Demand Gen performance should consider both attribution metrics (what touchpoints occurred before conversion) and incrementality testing (what conversions resulted from campaign exposure). Attribution helps understand customer journeys, while incrementality proves campaign effectiveness.
Cross-Device Tracking Limitations
Users might see Demand Gen ads on connected TV but search for brands on mobile devices or computers. Accurate measurement requires tracking users across devices, connecting TV exposure to subsequent search behavior on different screens.
Google’s logged-in ecosystem enables cross-device tracking for users signed into Google accounts. However, not all TV viewers are logged in, and some users may not use Google search on their mobile devices. These tracking gaps create measurement blind spots where campaigns drive impact that attribution systems cannot fully capture.
Privacy and Targeting Considerations
The new Demand Gen features operate within evolving privacy regulations and platform policies affecting targeting and measurement.
Privacy-Compliant Measurement
Attributed Branded Searches tracks user behavior across ad exposure and subsequent searches, requiring user-level data connections. Google implements this measurement within its privacy framework, using logged-in user data for attribution while maintaining compliance with privacy regulations.
Advertisers accessing Attributed Branded Searches receive aggregated reporting rather than individual user-level data. This aggregation protects user privacy while providing campaign-level insights. However, it limits advertisers’ ability to integrate Attributed Branded Searches data with their own customer databases for advanced analysis.
As privacy regulations continue evolving, features like Attributed Branded Searches may face additional restrictions. Advertisers should understand that measurement capabilities could change as privacy frameworks develop, potentially affecting long-term data availability and comparability.
First-Party Data Integration
Travel Feeds and Shoppable CTV both rely on advertiser-provided data through product and hotel feeds. This first-party data integration becomes increasingly important as third-party data faces privacy restrictions and platform limitations.
Advertisers with robust first-party data collection—through customer accounts, transaction histories, and direct relationships—can leverage this data for feed-based advertising while maintaining privacy compliance. The feeds contain product and property information rather than personal user data, allowing dynamic advertising without privacy concerns.
Building and maintaining high-quality first-party data becomes a competitive advantage in this environment. Advertisers with comprehensive product catalogs, real-time inventory systems, and accurate pricing data can fully leverage features like Shoppable CTV and Travel Feeds, while those lacking data infrastructure face implementation challenges.
Cost Considerations and Budget Planning
The new Demand Gen features affect campaign costs through both direct impacts (placement costs, feed management) and indirect effects (conversion rates, attribution understanding).
TV Inventory Pricing
Connected TV inventory typically commands premium pricing compared to mobile or desktop placements due to engagement rates, completion rates, and perceived value. Google’s report that TV screens drive 7% incremental conversions at the same ROI suggests TV pricing scales proportionally to performance—advertisers pay more for TV impressions but receive proportionally more conversions.
However, individual advertisers may experience different cost dynamics based on competitive factors, audience targeting, and creative quality. Categories with high competition for TV inventory may face premium pricing that exceeds performance gains, while less competitive categories might find efficient TV opportunities.
Advertisers should monitor placement-level performance within Demand Gen campaigns to understand TV costs versus other placements. While Google doesn’t provide direct cost segmentation by placement in Demand Gen reporting, third-party scripts and analytics platforms can offer placement-level insights.
Feed Management Costs
Implementing Travel Feeds and Shoppable CTV requires maintaining product and hotel feeds. For advertisers with existing Google Merchant Center or Hotel Center implementations, incremental costs may be minimal. However, advertisers building feeds specifically for these features face setup and maintenance costs.
Feed management includes technical implementation (API connections, data formatting, feed validation), content creation (product imagery, descriptions, pricing), and ongoing maintenance (inventory updates, price changes, seasonal adjustments). These costs scale with catalog size and update frequency.
Consider feed management costs when evaluating these features’ overall ROI. The LG Electronics case study reported 91% lower cost per acquisition through Demand Gen, but this metric likely doesn’t include feed management overhead. Calculate total cost of ownership including feed maintenance to determine true efficiency.
Testing Budget Requirements
Properly testing the new features requires budgets sufficient to generate statistically significant performance data. Demand Gen campaigns need time to optimize delivery and accumulate conversions for meaningful analysis. Insufficient budgets extend testing periods and delay optimization, reducing overall efficiency.
Industry recommendations suggest minimum daily budgets of $50-100 for Demand Gen campaigns, with higher budgets for competitive categories or broad geographic targeting. Testing periods of 4-6 weeks allow campaigns to exit learning phases and establish stable performance patterns. Total testing investment of $1,500-5,000 per campaign provides directional performance insights, while $10,000+ allows more confident conclusions.
Frequently Asked Questions
What is Google Demand Gen and how does it work?
Google Demand Gen is an AI-powered campaign type that delivers visually engaging ads across YouTube, Discover, Gmail, and the Google Display Network. Launched in June 2023 to replace Discovery campaigns, Demand Gen helps advertisers reach potential customers during browsing and content consumption moments. The campaign type uses Google’s machine learning to optimize ad delivery based on conversion goals while giving advertisers control over audience targeting, creative formats, and placement preferences. Demand Gen works by serving image carousels, video ads, and product feeds to users showing interest signals relevant to advertiser offerings.
What are the three new Demand Gen features announced in January 2026?
The three new features are: (1) Shoppable CTV, which enables viewers to browse and purchase products directly from YouTube ads on connected televisions; (2) Attributed Branded Searches, which tracks when users search for brand names after seeing Demand Gen ads; and (3) Travel Feeds, which allow hotel advertisers to connect Hotel Center feeds to create dynamic video ads with real-time pricing and availability. All three features moved from beta testing to general availability, making them accessible to all eligible advertisers through standard Demand Gen campaign setup.
How does Shoppable CTV differ from regular video ads?
Shoppable CTV adds an interactive product feed that appears alongside video content on television screens. While regular video ads require viewers to remember information and take action later on different devices, Shoppable CTV lets viewers browse products immediately using their television remote. The interactive feed shows multiple products with images, names, and prices, allowing viewers to explore offerings without leaving their viewing experience. Google reports that campaigns including TV screens drive 7% incremental conversions at the same ROI compared to campaigns without TV placements, suggesting the interactive format meaningfully improves conversion rates.
What is an Attributed Branded Search and why does it matter?
An Attributed Branded Search occurs when a user sees a Demand Gen ad and subsequently searches for the advertiser’s brand on Google or YouTube within 30 days. This metric matters because it demonstrates that awareness advertising drives measurable action beyond immediate clicks and conversions. Attributed Branded Searches help advertisers justify upper-funnel spending by showing how campaigns influence consideration-stage behavior. The metric appears as a conversion action in Google Ads reporting, allowing advertisers to track branded search volume alongside direct conversions when evaluating campaign performance.
How do I activate Attributed Branded Searches for my campaigns?
Activation requires contacting your Google representative to enable the feature for your account. During activation, you’ll work with Google to define brand mapping—specifying which search terms count as branded queries for your business. This mapping should include your brand name, common misspellings, branded product names, and variations while excluding generic category terms. Once activated, Attributed Branded Searches automatically tracks eligible conversions using a 30-day view-through attribution window. The metric appears in standard conversion reporting alongside other conversion actions, allowing integration with existing measurement workflows.
What is the conversion lift from using Shoppable CTV?
Google reports that Demand Gen campaigns including TV screens drive an average of 7% additional conversions while maintaining the same return on investment. This means advertisers see 7% more conversions from campaigns with TV placements compared to campaigns using only mobile and desktop placements, without increasing their cost per acquisition. The incremental lift comes from reaching television audiences who convert at rates that justify TV inventory costs. Individual results vary based on product categories, creative quality, audience targeting, and competitive dynamics within specific industries.
How do Travel Feeds work for hotel advertisers?
Travel Feeds connect Hotel Center product feeds to Demand Gen campaigns, automatically generating dynamic video ads featuring hotel properties. The system pulls property information including images, names, pricing, guest ratings, and availability from the Hotel Center feed, then incorporates this data into video creative. As pricing and availability change in the feed, ads update automatically without manual creative production. This automation allows hotel advertisers to maintain current information in video ads while scaling campaigns across multiple properties. The feature specifically targets travel advertisers wanting to reduce the friction between browsing and booking.
What’s the difference between Demand Gen and Performance Max campaigns?
Demand Gen runs on YouTube, Discover, Gmail, and Display, while Performance Max runs across all Google inventory including Search and Shopping. Demand Gen provides more targeting control, allowing advertisers to select specific audiences and opt out of automatic expansion. Performance Max relies more heavily on AI automation, giving Google control over targeting and placement decisions. Demand Gen typically serves upper and mid-funnel objectives with visual storytelling emphasis, while Performance Max works across the entire funnel for maximum conversion volume. Many advertisers run both campaign types simultaneously, using Demand Gen for awareness and consideration with controlled targeting, and Performance Max for full-funnel conversion optimization.
How much budget do I need to test Demand Gen effectively?
Industry recommendations suggest minimum daily budgets of $50-100 for Demand Gen campaigns, with 4-6 week testing periods to generate meaningful performance data. This translates to total testing budgets of approximately $1,500-5,000 per campaign for directional insights. Higher budgets of $10,000 or more allow more confident conclusions with larger data samples. Budget requirements increase for competitive categories, broad geographic targeting, or complex audience strategies. Campaigns need sufficient budget to exit learning phases and accumulate enough conversions for statistical significance. Lower budgets extend testing periods and delay optimization, reducing overall efficiency.
Can I use Demand Gen if I don’t have a product feed?
Yes, Demand Gen works without product feeds for awareness and consideration objectives. Shoppable CTV and Travel Feeds specifically require product or hotel feeds, but these features are optional components of Demand Gen campaigns. Advertisers can run successful Demand Gen campaigns using image carousels and video assets without feed integration, focusing on upper-funnel objectives like brand awareness, video views, and website traffic. Attributed Branded Searches works for all Demand Gen campaigns regardless of feed usage, providing measurement value for advertisers pursuing awareness objectives without immediate commerce goals.
What metrics should I track to measure Demand Gen success?
Track both immediate response metrics and longer-term impact indicators. Immediate metrics include conversions, conversion rate, cost per acquisition, click-through rate, and video completion rate. Longer-term indicators include Attributed Branded Searches, brand lift (measured through separate studies), and customer acquisition over extended attribution windows. For Shoppable CTV specifically, monitor placement-level performance to understand TV inventory efficiency versus other placements. Many advertisers use multi-touch attribution models to understand how Demand Gen contributes to conversions that occur across multiple touchpoints, complementing last-click attribution with data-driven approaches.
How does privacy regulation affect Demand Gen measurement?
Attributed Branded Searches operates within Google’s privacy framework using logged-in user data for attribution while providing advertisers with aggregated reporting. This protects individual user privacy while enabling campaign-level insights. However, measurement accuracy depends on users being logged into Google accounts when viewing ads and conducting searches. Not all users maintain logged-in status across devices, creating measurement gaps. As privacy regulations continue evolving, features requiring cross-device user tracking may face additional restrictions. Advertisers should prepare for potential measurement changes by diversifying analytics approaches and not relying solely on platform-provided attribution.
What industries benefit most from these new Demand Gen features?
Shoppable CTV benefits retail, consumer electronics, fashion, and any category with visually compelling products that translate well to television viewing. Travel Feeds specifically serve hotels, vacation rentals, and hospitality businesses with existing Hotel Center feeds. Attributed Branded Searches provides value across all industries pursuing awareness and consideration objectives, particularly valuable for categories with longer consideration cycles where immediate conversions don’t fully capture campaign impact. The LG Electronics case study suggests consumer electronics perform well on Demand Gen, while Google’s emphasis on travel features indicates strong hospitality applications.
Can I target specific YouTube channels or Discover topics with Demand Gen?
Demand Gen provides audience-based targeting rather than placement-level controls like specific YouTube channels. Advertisers select audiences based on demographics, interests, life events, and custom segments built from website visitors or customer lists. Google’s AI then serves ads across YouTube, Discover, and Gmail placements where those audiences appear. Recent updates provide visibility into which YouTube channels showed ads, but advertisers cannot pre-select specific channels in campaign setup. This audience-focused approach differs from traditional YouTube advertising that allows channel and topic targeting, but aligns with Demand Gen’s emphasis on reaching the right people rather than controlling exact placements.
What creative specifications work best for Demand Gen campaigns?
Demand Gen supports image carousels (2-20 images), single images, and videos. For images, provide multiple aspect ratios (1.91:1 landscape, 1:1 square, 4:5 portrait) to optimize across placements. Image dimensions of 1200×628, 1200×1200, and 960×1200 pixels respectively work well. For video, use horizontal formats (16:9) and vertical formats (9:16) to accommodate different placements. Videos should hook viewers in the first 3 seconds with clear visual storytelling that works with sound off, as many placements initially auto-play without sound. For Shoppable CTV specifically, ensure product imagery displays well on large screens from typical viewing distances, with legible text that doesn’t require close viewing.
How long does it take for Demand Gen campaigns to optimize?
Demand Gen campaigns typically require 2-3 weeks to exit learning phases and establish stable performance patterns, assuming sufficient daily budget and conversion volume. The learning phase duration depends on conversion frequency—campaigns with higher conversion volumes learn faster than those with infrequent conversions. During learning, performance may fluctuate as Google’s AI tests different targeting and bidding approaches. Avoid major campaign changes during learning phases, as significant edits restart learning. After the initial optimization period, campaigns continue improving over time through ongoing machine learning, making longer-term testing (6-12 weeks) valuable for understanding sustained performance.
What are the requirements for using Travel Feeds in Demand Gen?
Travel advertisers need an existing Hotel Center account with active property feeds containing current data. Feed requirements include property images, names, pricing, guest ratings, and availability status. The Hotel Center feed must comply with Google’s specifications for data formatting and content policies. Once the feed exists, advertisers connect it to Demand Gen campaigns through campaign settings, after which Google automatically generates dynamic video ads using feed content. The system requires no separate creative production beyond establishing the feed connection. Advertisers must maintain feed accuracy with regular updates to ensure ads display current pricing and availability.
How does Demand Gen attribution work across devices?
Demand Gen uses Google’s cross-device attribution for logged-in users. When someone sees a Demand Gen ad on their connected TV while logged into a Google account, then later searches or converts on their mobile device or computer (also logged in), Google connects these actions to the original ad exposure. This cross-device tracking enables accurate attribution for customer journeys spanning multiple screens. However, attribution accuracy depends on users maintaining logged-in status across devices. Users who view ads while logged out or switch between logged-in and logged-out states create measurement gaps where conversions may not properly attribute to campaigns. Aggregated campaign reporting accounts for these limitations through statistical modeling.
What’s the relationship between Demand Gen and Google Display Network?
Demand Gen campaigns include Google Display Network (GDN) placements as one component, but focus primarily on YouTube, Discover, and Gmail. While traditional Display campaigns prioritize banner ad placements across GDN partner websites and apps, Demand Gen emphasizes visual storytelling on owned Google properties where users actively engage with content. Display placements within Demand Gen campaigns show ads on GDN inventory, but these placements represent a smaller portion of total delivery compared to YouTube and Discover. Advertisers wanting comprehensive GDN coverage typically run dedicated Display campaigns alongside Demand Gen rather than relying on Demand Gen’s Display component alone.
How competitive is Demand Gen inventory compared to other Google formats?
Demand Gen competition varies by audience targeting and placement. YouTube video inventory faces substantial competition from both Demand Gen and traditional YouTube campaigns, with pricing reflecting this demand. Discover and Gmail placements typically show less competition than YouTube, potentially offering efficiency advantages for advertisers accessing these placements through Demand Gen. Connected TV inventory commands premium pricing due to engagement rates and advertiser demand, though Google reports that performance justifies costs through incremental conversions. Overall competition depends heavily on target audiences—broad audiences face higher competition and costs, while niche audiences may find efficient inventory with limited competition.
Can I exclude certain placements or apps in Demand Gen campaigns?
Demand Gen provides limited placement exclusion capabilities compared to traditional Display or YouTube campaigns. Advertisers cannot proactively exclude specific placements, apps, or YouTube channels when setting up campaigns. However, Google allows adding exclusions after campaigns run if ads appear on inappropriate placements. The platform provides reporting on YouTube channel placements, allowing advertisers to identify and exclude channels where ads appeared. For brand safety, Google applies automatic content exclusions based on advertiser-selected inventory types (expanded, standard, or limited). This approach sacrifices granular placement control in favor of audience-focused delivery across relevant inventory.
Google’s January 2026 Demand Gen updates represent a significant evolution in the platform’s capabilities, transforming it from an awareness-focused channel into a comprehensive performance engine. Shoppable CTV adds direct commerce functionality to television advertising, Attributed Branded Searches provides measurement accountability for upper-funnel spend, and Travel Feeds enable hospitality advertisers to automate video creative production with dynamic property information.
These features collectively address three critical gaps that previously limited Demand Gen’s appeal: the inability to drive direct commerce from television impressions, difficulty measuring brand impact through behavioral metrics, and manual creative maintenance requirements for dynamic product advertising. By resolving these limitations, Google positions Demand Gen as a viable alternative to paid social advertising and a complement to Performance Max campaigns within full-funnel strategies.
The LG Electronics case study demonstrating 24% higher conversion rates and 91% lower cost per acquisition versus paid social, combined with Google’s data showing 7% incremental conversions from TV placements, suggests meaningful performance potential. However, individual results will vary based on creative quality, audience targeting, competitive dynamics, and product category characteristics.
Successful implementation requires structured approaches: ensuring product feeds meet quality standards for Shoppable CTV and Travel Feeds, working with Google representatives to properly configure Attributed Branded Searches with accurate brand mapping, and allocating sufficient testing budgets to generate meaningful performance data. Advertisers should integrate these features into broader full-funnel strategies rather than viewing them as standalone solutions, recognizing that Demand Gen serves distinct strategic purposes compared to Performance Max and traditional search advertising.
The updates also signal broader industry trends toward convergence between awareness and performance advertising, increased competition for upper-funnel budgets, and evolution of connected television from primarily a brand-building medium to a performance marketing channel. As privacy regulations continue evolving, features like Attributed Branded Searches that operate within logged-in ecosystems may gain importance relative to third-party cookie-dependent measurement approaches.
Advertisers evaluating these features should consider both immediate performance metrics and longer-term strategic positioning. The ability to drive commerce from television inventory, measure brand impact through search behavior, and automate creative production for dynamic catalogs provides competitive advantages that extend beyond campaign-level efficiency metrics. As Google continues developing Demand Gen capabilities, early adopters gain experience and optimize strategies while these features remain relatively less competitive than more established advertising formats.
About ALM Corp
ALM Corp specializes in performance-driven digital advertising strategy and execution across Google’s full ecosystem, including expertise in Demand Gen campaign optimization, Performance Max implementation, and full-funnel measurement frameworks. Our team helps businesses navigate Google’s evolving advertising platform by implementing advanced features like Shoppable CTV, establishing proper attribution models including Attributed Branded Searches, and building data infrastructure for feed-based advertising.
We recognize that successfully leveraging Google’s latest innovations requires more than simply enabling new features—it demands strategic integration into comprehensive marketing approaches that balance awareness objectives with performance accountability. Our services include campaign setup and optimization, conversion tracking implementation, creative testing frameworks, and measurement consultation to ensure clients understand both immediate conversion metrics and longer-term brand impact.
Whether you’re evaluating Demand Gen as an alternative to paid social advertising, seeking to implement Shoppable CTV for your e-commerce business, optimizing Hotel Center feeds for travel advertising, or building attribution models that capture full customer journey value, ALM Corp provides the strategic guidance and technical expertise to maximize return on advertising investment. Our approach combines platform-specific tactical knowledge with broader marketing strategy, ensuring that individual campaign optimizations support overall business objectives.
Contact ALM Corp to discuss how Google’s latest Demand Gen features can integrate into your marketing strategy, or to receive a comprehensive audit of your current Google Ads account structure with recommendations for leveraging these innovations to improve performance and efficiency.
Sources
Search Engine Land – “Google’s Demand Gen gets more shoppable — and more measurable” (https://searchengineland.com/
googles-demand-gen-gets-more- shoppable-and-more-measurable- 467823) Google Ads Blog – “See the newest product features in January’s Demand Gen Drop” (https://blog.google/products/
ads-commerce/demand-gen-drop- january-2026/) Google Ads Help – “About Demand Gen campaigns” (https://support.google.com/
google-ads/answer/13695777) Google Ads Help – “How to use Hotel Center feeds in your Demand Gen campaigns” (https://support.google.com/
google-ads/answer/16756841) Seer Interactive – “Google Performance Max vs. Demand Gen” (https://www.seerinteractive.
com/insights/google- performance-max-vs-demand-gen) Search Engine Land – “Google Ads adds ‘Branded Searches’ as new conversion metric” (https://searchengineland.com/
google-ads-branded-searches- conversion-metric-459382) Google – “LG Demand Gen Case Study” (https://services.google.com/
fh/files/misc/lg_demand_gen_ case_study.pdf) Google – “Shoppable CTV One-Sheeter” (https://services.google.com/
fh/files/misc/shoppable_ctv_ one_sheeter.pdf)
