Size-Targeted Advertising for Online Clothing Sales

Size-Targeted Advertising for Online Clothing Sales

Summary: Online clothes shopping often frustrates consumers with irrelevant size ads. By allowing users to input their sizes in Google accounts, advertisers can target only suitable items, enhancing user experience and ad efficiency.

Shopping online for clothes can be frustrating when ads keep showing items that don’t fit. Advertisers struggle to target the right sizes because they lack access to users' preferences, leading to wasted ad spend and poor user experiences.

How Size-Targeted Ads Could Work

One way to solve this is by letting shoppers input their clothing sizes (like shirt, pants, or shoe size) directly into their Google account settings. Advertisers using Google Ads could then filter their campaigns to only show ads to users whose sizes match their inventory. For example, someone who wears a medium shirt wouldn’t see ads for extra-large clearance items. This would involve:

  • User Profiles: Optional fields in Google accounts for size preferences, including categories like men’s/women’s and regional variations.
  • Advertiser Tools: Google Ads would offer targeting options based on size, helping brands focus on users more likely to buy.
  • Verification: Google could confirm sizes by linking to past purchases (like email receipts) or prompting occasional updates.

Why This Could Benefit Everyone

Users would see fewer irrelevant ads, advertisers could spend their budgets more efficiently, and Google might see higher engagement. Privacy concerns could be addressed by making participation optional and transparent, with clear benefits like "See only ads for your size."

Easing Into the Idea

Starting small with a few apparel brands as a beta test could help prove the concept. Comparing the performance of size-targeted ads against traditional campaigns would show advertisers the potential for better returns. Over time, the feature could expand to include more precise options like shoe width or inseam length.

While challenges like regional sizing differences and data accuracy exist, this approach could turn a common shopping headache into a smoother experience for both shoppers and sellers.

Source of Idea:
This idea was taken from https://www.ideasgrab.com/ideas-0-1000/ and further developed using an algorithm.
Skills Needed to Execute This Idea:
User Experience DesignData Privacy ManagementDigital AdvertisingMarket ResearchUser Interface DevelopmentData AnalysisCampaign ManagementSoftware DevelopmentConsumer Behavior AnalysisE-commerce StrategiesPerformance Metrics EvaluationCloud IntegrationPrivacy ComplianceUser Profile Management
Categories:E-CommerceAdvertising TechnologyUser Experience DesignData PrivacyDigital MarketingFashion Retail

Hours To Execute (basic)

300 hours to execute minimal version ()

Hours to Execute (full)

2000 hours to execute full idea ()

Estd No of Collaborators

10-50 Collaborators ()

Financial Potential

$100M–1B Potential ()

Impact Breadth

Affects 100K-10M people ()

Impact Depth

Moderate Impact ()

Impact Positivity

Probably Helpful ()

Impact Duration

Impacts Lasts 3-10 Years ()

Uniqueness

Somewhat Unique ()

Implementability

Very Difficult to Implement ()

Plausibility

Reasonably Sound ()

Replicability

Complex to Replicate ()

Market Timing

Good Timing ()

Project Type

Digital Product

Project idea submitted by u/idea-curator-bot.
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