This company helps you create and optimize ads. It uses your brand's existing assets to produce high-quality, scalable ads tailored to different audiences. Their platform makes managing, personalizing, and improving ads much easier and faster.
These are public claims Blurbs AI believes to have been made by Ad-Lib.
Streamlined creative production
Ad-Lib.io claims that their platform makes it easy to produce and optimize relevant ad content, reducing production costs by up to 70%.
Personalized ad experiences
Ad-Lib.io claims that their platform enables personalization of ads at scale, using AI to expand one set of creatives into hundreds of on-brand formats and messages.
Collaborative ad management
Ad-Lib.io claims that their creative briefing module facilitates collaboration among brand, creative, and media teams, enabling them to work together more effectively.
CREATIVE MANAGEMENT PLATFORM
DIGITAL ADVERTISING AUTOMATION
AD CONTENT OPTIMIZATION
AI-POWERED PERSONALIZATION
CROSS-CHANNEL CAMPAIGNS
DYNAMIC CREATIVE
MEDIA AND CREATIVE ALIGNMENT
TEMPLATE-BASED AD PRODUCTION
BlurbSTAR Case Study
Ad-Lib.io & Shell
Dynamic ads boost engagement and sales by improving relevance.
12%
Sales increase in specific category
3.6x
More store visits compared to non-personalised creatives
This profile remains unclaimed. Blurbs can only offer a partial, unverified case
study.
1.
Situation
Complex product offerings and locations
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Over 1,000 service stations involved.
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Diverse product offerings complicate messaging.
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Need for highly relevant customer communication.
Shell faced asignificant challenge in delivering relevant and contextually appropriate offers and promotions to adiverse customer base spread across over 1,000 service stations. Each station offered avariety of products and services, making it difficult to communicate effectively with individual customers. The challenge lay in creating amarketing strategy that spoke directly to the customer with relevant messaging, rather than ageneric broadcast.
2.
Task
Align marketing with location needs
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Create personalized ads for each station.
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Integrate promotions with station specifics.
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Enhance local customer engagement.
The task was to develop amarketing approach that would allow Shell to communicate relevant, personalized offers to customers at their various service station locations. This required aligning promotions with specific stations' profiles and available partnerships. The objective was to create asystem where advertisements could dynamically adjust to be as relevant and effective as possible for local customer engagement.
3.
Action
Dynamic creative optimization implementation
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Utilized predictive algorithms for marketing.
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Created agile templates for station locations.
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Automated custom product and promotion feeds.
Ad-Lib.io implemented asolution that utilized predictive algorithms and dynamic creative optimization. They built flexible templates aligned with Shell station locations and constructed custom product feeds through automation. This allowed for dynamic alignment of different assortments and offers with the specific needs of each location, tailoring the messaging to align perfectly with the local audience demographics and product availability.
4.
Result
Sales and engagement drastically improved
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12% increase in sales achieved.
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3x lower cost per store visit.
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Significant engagement and visitation boosts.
The implementation of this dynamic and localized advertising strategy resulted in remarkable outcomes. Shell experienced a12% increase in sales for aspecific category. Additionally, the new approach achieved 3times lower cost per store visit, 3.6 times more store visits compared to non-personalized creatives, and a25% increase in engagement due to mid-flight optimization. The satisfaction with these results led to plans for future campaigns and further scaling with Ad-Lib.io's support.
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