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How Betterment Used A Custom Bidding Script To Refine Its Ad Strategy

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

How Betterment Used a Custom Bidding Script to Refine Its Ad Strategy and Boost Performance

In the rapidly evolving world of digital marketing, platforms like Betterment are constantly seeking innovative ways to optimize their advertising strategies. Betterment, a leader in long-term investing, recently teamed up with AdSwerve to tackle a unique challenge: improving the quality of their digital ad leads through more precise targeting and bidding.

Understanding the Challenge

Betterment’s core audience consists of investors with a long-term outlook, which made traditional ad strategies less effective. The company noticed many leads generated from digital ads were not converting into meaningful actions, such as deposits or account openings. This discrepancy highlighted the need for a more nuanced approach that aligns ad performance metrics with Betterment’s business goals.

The Role of Custom Bidding Scripts

To address this, Betterment and AdSwerve developed a custom bidding script that leverages advanced data parameters to score ad impressions. Instead of focusing solely on clicks or superficial engagement, the script prioritizes impressions with higher conversion potential — particularly actions that indicate serious investor interest, like deposits. This shift ensures that ad spend goes toward reaching the most valuable prospects.

Insights from Initial Testing

Early testing of the custom bidding script revealed surprising insights. Expectations about which ad formats would perform best did not always match reality. The data showed that different ad units perform variably depending on the customer journey stage, prompting Betterment to tailor ad placements more strategically.

Continuous Refinement and Adaptation

The partnership remains dynamic, with ongoing adjustments driven by data analysis. By continuously refining the script and bidding strategies, Betterment can improve both reach and conversion rates, maximizing the impact of their advertising budget.

Key Insights

  • What was the main challenge Betterment faced with its digital ads?
    Betterment struggled with converting leads from digital ads because their audience invests with a long-term mindset, requiring a more targeted approach.

  • How does the custom bidding script improve Betterment’s ad strategy?
    It scores impressions based on their likelihood to result in valuable conversions, focusing on meaningful investor actions rather than just clicks.

  • What did initial testing reveal about ad formats?
    Testing showed that the effectiveness of ad formats varies across different stages in the customer journey, influencing the choice of ad units.

  • How is Betterment adapting its strategy over time?
    The company continually refines its bidding script and ad placements using insights gained from data analysis to enhance performance.

Conclusion

Betterment’s collaboration with AdSwerve exemplifies how data-driven strategies and custom technology can transform digital advertising effectiveness. By focusing on the most valuable audience actions and adapting based on real-world data, companies can greatly enhance lead quality and conversion outcomes. This approach provides a strong model for other businesses aiming to optimize advertising spend while better aligning campaigns with long-term objectives.

Source: https://www.adexchanger.com/platforms/how-betterment-used-a-custom-bidding-script-to-refine-its-ad-strategy/

IAB launches Event and Conversion API to standardize advertisers’ shared data

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

IAB Launches Event and Conversion API to Revolutionize Advertiser Data Sharing

In a significant move to enhance transparency and efficiency in digital marketing, the IAB Tech Lab has introduced the Event and Conversion API (ECAPI). This new tool aims to unify how advertisers report critical marketing events and conversions to various platforms and partners.

Streamlining Data Communication for Advertisers

Traditionally, the advertising industry has grappled with disparate systems and varied formats when sharing marketing data. The ECAPI addresses this challenge by standardizing the communication of full-funnel events, offering a consistent format that reduces friction and boosts clarity. By doing so, it enhances data quality and supports more effective campaign optimization.

Flexibility Within Standardization

While the ECAPI promotes a common data language, it also allows for platform-specific customizations. This balance ensures that the API can accommodate unique platform requirements without the complexities often associated with multiple integration processes.

Towards Agentic Marketing

The launch of ECAPI aligns with the broader industry shift towards agentic marketing—a strategy where artificial intelligence leverages shared signals and measurable goals to improve marketing outcomes. By facilitating better data sharing, ECAPI provides a foundation for AI tools to optimize campaigns more autonomously and intelligently.

Key Insights

  • What problem does ECAPI solve? It unifies diverse data sharing methods, reducing complexity and improving data quality for advertisers and platforms.

  • How does this impact marketing campaigns? With standardized, higher-quality data, campaigns can be optimized more efficiently for better performance.

  • What flexibility does ECAPI offer? It allows for platform-specific customization within a standardized framework, accommodating unique needs.

  • Why is this important for AI-driven marketing? ECAPI enables seamless data sharing essential for AI systems to analyze and act on marketing signals effectively.

Conclusion

The IAB Tech Lab’s introduction of the Event and Conversion API marks a pivotal step toward a more unified and efficient digital advertising ecosystem. By reducing integration complexities and enhancing data clarity, ECAPI not only simplifies marketing operations but also paves the way for advanced AI-driven optimization. Industry stakeholders are invited to contribute feedback during the public comment period ending February 20, 2026, to help refine this innovative standard further.

Source: https://martech.org/iab-launches-event-and-conversion-api-to-standardize-advertisers-shared-data/

Statusphere Secures $18 Million in Series A Funding to Turn Influencer Marketing into a Scalable, Trusted Growth Channel for Retailers and Consumer Brands

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Statusphere Secures $18 Million Series A Funding to Revolutionize Scalable Influencer Marketing for Retail and Consumer Brands

In a significant stride for influencer marketing, Statusphere, an AI-driven marketing platform, has successfully raised $18 million in a Series A funding round. This latest investment brings the company’s total funding to an impressive $27 million, signaling strong investor confidence in its innovative approach to scaling influencer collaborations.

Accelerating Growth Through AI-Powered Influencer Marketing

Statusphere specializes in enabling brands to activate and manage micro-influencers at scale using artificial intelligence. This technology automates complex processes such as creator collaboration management, compliance assurance, and performance tracking. The platform’s capabilities help brands maximize the impact of influencer marketing campaigns while maintaining efficiency and reliability.

Major brands like LG H&H and Express are already leveraging Statusphere’s automated platform to drive product discovery and enhance social SEO, benefiting from enhanced visibility and consumer engagement through tailored influencer partnerships.

Strategic Investment Led by Volition Capital

The $18 million funding round was led by Volition Capital, with contributions from HearstLab and other key investors. This capital infusion is poised to expand Statusphere’s AI capabilities further, enabling it to better meet evolving market demands. The focus will include broadening the platform’s functionality to support more brands and influencers, improving automation, and refining tools that facilitate seamless social SEO integration.

Key Benefits for Retailers and Consumer Brands

  • Scalable influencer marketing solutions tailored to brand needs
  • AI-driven automation to streamline influencer activation and compliance
  • Enhanced product discovery through improved social SEO
  • Real-time performance tracking for measurable campaign success

Key Insights

  • What is the significance of the $18 million funding?
    This investment accelerates Statusphere’s growth and AI innovation, enhancing its ability to serve an expanding client base in retail and consumer sectors.

  • How does AI improve influencer marketing scalability?
    By automating labor-intensive tasks like influencer recruitment, compliance, and reporting, AI allows brands to manage larger influencer networks efficiently.

  • What opportunities does this create for brands?
    Brands gain access to robust tools that amplify product discovery and optimize marketing ROI through strategic influencer partnerships.

  • What brands are already using Statusphere?
    Leading companies including LG H&H and Express are utilizing the platform to drive effective influencer campaigns.

Conclusion

Statusphere’s recent funding milestone underscores the growing importance of scalable, AI-enabled influencer marketing solutions for retailers and consumer brands. By blending technology with creator partnerships, Statusphere is set to transform how brands approach influencer marketing, delivering trusted growth and enhanced product visibility in an increasingly digital marketplace.

With enhanced social SEO and automated influencer management tools on the horizon, Statusphere is poised to be a key facilitator in the next wave of marketing innovation.

Source: https://martechseries.com/social/influencer-marketing/statusphere-secures-18-million-in-series-a-funding-to-turn-influencer-marketing-into-a-scalable-trusted-growth-channel-for-retailers-and-consumer-brands/

The most useful AI tool might already be in your browser

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

The Most Useful AI Tool Might Already Be In Your Browser: Revolutionizing Marketing Workflows

In today’s fast-paced marketing world, efficiency and seamless technology integration are key to success. What if the most powerful AI assistant you need isn’t a standalone app but something already at your fingertips? Recent innovations in browser-based AI tools are transforming how marketers work by embedding intelligence directly within the web browsing experience.

Unlocking AI’s Potential Directly in Your Browser

Traditional AI applications often involve multiple steps—opening a separate program, uploading data, and navigating complex interfaces—which can disrupt workflow and decrease productivity. However, new AI tools like Gemini and Atlas are built right into browsers, eliminating these barriers. These tools can understand and react to the content you are viewing in real-time without requiring you to switch contexts or platforms.

This embedded AI reads the screen content to provide immediate context, offering assistance such as drafting email replies, helping navigate cumbersome CRM interfaces, or breaking down complicated technical documents. By integrating directly into everyday browsing activities, these tools reduce friction, allowing marketers to focus more on strategy and creativity.

Enhancing Productivity and AI Adoption

For marketing teams, these browser-based AI assistants act like unobtrusive partners that expedite routine tasks and ease the learning curve of adopting new technologies. As they are already part of the browser ecosystem, these tools feel intuitive and accessible, increasing user comfort and encouraging broader acceptance.

The immediate context-aware assistance helps reduce errors and improve response speed. Instead of grappling with multiple apps or toggling between tabs, marketers can rely on intelligent suggestions and streamlined workflows that save time and boost output quality.

Why Marketers Should Care

  • Seamless integration: AI without disruption ensures consistency and focus.
  • Contextual intelligence: Immediate understanding of content enhances relevance.
  • Increased productivity: Quicker task completion means more time for creative and strategic work.
  • Lower adoption barriers: Intuitive design encourages more widespread use across teams.

Key Insights

  • What makes browser-based AI tools unique? They operate by reading live content on the screen, providing immediate, context-sensitive help without multiple setup steps.
  • How do these tools impact daily workflows? They reduce the hassle of switching between different AI apps, streamlining common tasks like email management and CRM navigation.
  • Are these tools suitable for technical content? Yes, they can simplify complex information, making it more accessible to marketers.
  • What does this mean for AI adoption in marketing? The ease of use and unobtrusive help foster greater comfort and enthusiasm for AI-driven processes.

Conclusion

Browser-based AI tools represent a significant shift in how marketing professionals interact with artificial intelligence. By embedding assistance directly where work happens—within the browser—they enhance productivity, reduce friction, and open the door to a smoother adoption of AI across teams. As these technologies evolve, they will become indispensable allies in achieving smarter, faster, and more effective marketing outcomes.

Source: https://martech.org/the-most-useful-ai-tool-might-already-be-in-your-browser/

The Smart Way To Take Back Control Of Google’s Performance Max [A Step-By-Step Guide]

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Taking Back Control of Google’s Performance Max: A Step-By-Step Guide for Ecommerce Brands

Google’s Performance Max (PMax) campaigns are a powerful tool for ecommerce brands seeking to optimize digital ad spend across multiple channels. However, maximizing their effectiveness requires nuanced control over budget allocation and product visibility—areas where many advertisers encounter challenges. This guide provides an actionable framework designed specifically for ecommerce businesses to regain control and improve outcomes with PMax.

Understanding the Challenge

PMax campaigns notoriously allow top-selling products to dominate budget allocation, often at the expense of less visible or newer items that also need promotion. This imbalance can hinder growth opportunities and reduce overall campaign efficiency. Therefore, one of the first steps toward optimization is to rethink how products are segmented and evaluated.

Segmenting Products by Performance

Rather than categorizing products by type or category, this guide suggests grouping them based on performance metrics. Products are classified into three segments:

  • Star Products: High performers with proven sales and ROI.
  • Zombie Products: Low or no sales, consuming budget without returns.
  • New Arrival Products: Recently launched items requiring monitoring and adjustment.

By applying clear thresholds to define these segments and using shorter analysis windows, marketers can respond rapidly to performance changes.

Leveraging Automation for Efficiency

Automating the movement of products between segments and campaigns ensures budget is redirected dynamically. This reduces manual work and increases the speed at which campaigns adapt to market trends. Automation allows PMax campaigns to maintain balance, prioritizing star products without neglecting potential growth areas like new arrivals.

Real-World Impact: Success Stories

The effectiveness of applying this strategy is exemplified by brands such as La Maison Simons, which achieved significant improvements in reclaiming control over their ad spend and overall campaign performance. These success stories underline the value of detailed product segmentation, shorter performance analysis windows, and automated reallocations.

Key Insights

  • What is the main limitation of traditional PMax campaigns? They tend to over-prioritize top sellers, leaving little budget for less visible products.
  • How does product segmentation improve PMax outcomes? It enables tailored strategies for different performance tiers, enhancing budget efficiency.
  • Why are shorter analysis windows beneficial? They allow faster reactions to fluctuating product performance.
  • What role does automation play? It streamlines adjustments and maintains a more balanced, responsive campaign.

Conclusion

Optimizing Google Performance Max campaigns requires moving beyond static category groupings toward performance-based segmentation. Incorporating shorter analysis periods and automation can help ecommerce brands take back control of their budgets and achieve stronger campaign results. By following the step-by-step guide outlined, marketers can foster an adaptable strategy that supports current star products while nurturing new opportunities for growth through smarter, data-driven campaign management.

Source: https://www.searchenginejournal.com/ecommerce-performance-max-guide-channable-spa/565185/