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"Creates and optimizes ad content efficiently."

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.
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Ad-Lib's Website Claims...
Our AI found these claims on Ad-Lib's website.
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.
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
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 a significant challenge in delivering relevant and contextually appropriate offers and promotions to a diverse customer base spread across over 1,000 service stations. Each station offered a variety of products and services, making it difficult to communicate effectively with individual customers. The challenge lay in creating a marketing strategy that spoke directly to the customer with relevant messaging, rather than a generic 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 a marketing 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 a system 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 a solution 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 a 12% increase in sales for a specific category. Additionally, the new approach achieved 3 times lower cost per store visit, 3.6 times more store visits compared to non-personalized creatives, and a 25% 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.
Keywords
DYNAMIC CREATIVE OPTIMIZATION
PERSONALIZED MARKETING
PREDICTIVE ALGORITHMS
CUSTOMER ENGAGEMENT
SALES INCREASE
AD-LIB.IO
SHELL CASE STUDY
AUTOMATED ADVERTISING
TARGETED PROMOTIONS
LOCAL MARKETING
The Blurbs FAQs
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1.
What types of creative formats do you support (static, video, HTML5, dynamic, etc.)?
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2.
Does your platform offer AI-driven creative generation, and how does it work?
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3.
Can your CMP dynamically personalize ads based on audience data and real-time triggers?
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4.
How does your platform integrate with our existing ad stack (Meta, Google Ads, TikTok, Amazon DSP, etc.)?
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5.
What automation features do you offer for ad production and scaling?
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6.
Do you provide performance analytics and creative insights to optimize ad effectiveness?
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7.
How does your platform support brand consistency and creative collaboration?
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8.
Can your platform generate multiple creative variations for A/B testing and automated experimentation?
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9.
How does your CMP handle privacy compliance, asset security, and first-party data integration?
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10.
How does your platform support omnichannel creative distribution (display, social, CTV, email, retail media, etc.)?
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