Today’s media landscape is a maze. Multiple online and offline channels, fragmented audiences, multiplying touchpoints… In this complex environment, the pressure on marketing teams to demonstrate Return on Investment (ROI) and justify every dollar spent is more intense than ever. It’s no longer enough to “be present”; it’s crucial to understand what works, how it works, and, above all, where to invest the next dollar to achieve maximum impact. This is where precise measurement and intelligent budget optimization become fundamental.

Why do we need to measure accurately?

Without proper measurement, media investment decisions are based on intuition, partial data, or vanity metrics that don’t reflect the real impact on the business. The challenges are clear:

• Fragmentation: Consumers interact with brands through numerous channels and devices. How do you understand the complete journey and the role of each touchpoint?
• Data silos: Information is often scattered across different platforms and partners, making a unified view of performance difficult.
• Real impact vs. correlation: Did that campaign really generate sales, or did it simply coincide with a market trend? It’s vital to distinguish causality.
• Short-term and long-term vision: Some actions generate immediate results, while others build brand over the long term. How do you balance both needs?

The key question: Where do I allocate my budget?

Measuring is the first step, but the real challenge is translating that measurement into concrete actions, especially in budget allocation. The fundamental question every marketing manager must answer is: “Given my budget, how should I distribute it across different channels and campaigns to maximize my objectives (sales, leads, brand awareness, etc.)?”
This is where the need for a Media Budget Allocator comes into play.

Current solutions and their limitations

Currently, companies try to solve this puzzle in different ways, each with its limitations:

• Partner reports (agencies, publishers):
  • What they provide: Detailed reports on performance within their specific platforms or channels (e.g., social media campaign results, search ad clicks, GRPs on TV).
  • Limitations: Siloed view. Each partner optimizes for their own channel, without offering a global and neutral perspective on how different media interact. They may have inherent biases towards their own solutions. They make it difficult to compare “apples to apples” between very different channels (e.g., TV vs. TikTok).
• Other technologies (web analytics tools, isolated attribution platforms, MMM, BI): 
  • What they provide: Data on user behavior on the website, long-term insights, attribution models (often focused only on digital or last-click), dashboards with key metrics.
  • Limitations: They may lack a holistic view that robustly integrates offline and online. Digital attribution models alone don’t capture the impact of mass media or external factors (economy, seasonality, competition). MMM models focus on the long term, making short-term decision-making difficult. BI tools show the past but often lack the predictive or integrated optimization capabilities to guide future budget allocation automatically. They require complex integrations and expertise to extract actionable insights for planning.

The comprehensive solution: OptiPhi

This is where an advanced platform like OptiPhi makes a difference. It’s not just another measurement tool but a true strategic optimizer of media investment:

What does OptiPhi provide? EVERYTHING Necessary:

• Holistic and unified vision: OptiPhi integrates data from all relevant sources: online, offline, sales, external factors (competition, seasonality, macroeconomics). It breaks down silos.
• Robust measurement (MMM + Attribution): It combines the best of both worlds. It uses Marketing Mix Modeling (MMM) to understand the strategic impact of all channels (including offline and external factors) in the long term, and enriches it with a cookieless attribution model for tactical digital detail at the platform and strategy level on a daily basis. All within a Unified Measurement Framework.
• Risk-free testing: Conduct experiments to validate the introduction of new platforms or strategies into your models without risk, favoring model calibration and continuous improvement.
• Deep understanding of ROI: It measures the real impact of each marketing activity on business KPIs, separating the incremental contribution from background noise.
• Predictive capability: It doesn’t just look at the past. OptiPhi uses advanced models to simulate future scenarios, facilitating decision-making and investment justification. You can ask: “What would happen if I increase my TV investment by 10% and reduce search by 5%?”
• Budget optimization: This is key. Based on your objectives and constraints, OptiPhi recommends the optimal allocation of the budget across channels and campaigns to maximize return. It tells you exactly where to put each dollar.
• Speed and agility: It provides insights and recommendations month by month, allowing for faster adaptation to market conditions.
• Neutrality: As an independent technology platform, it offers an objective view without bias towards any specific channel or partner. Furthermore, the platform can be implemented in the client’s environment, maintaining the privacy of their data.

Conclusion: From intuition to intelligent optimization

In today’s competitive environment, managing the media budget based on partial data or intuition is too high a risk. The need for accurate measurement and, above all, for a tool that translates those insights into optimal budget allocation is critical.
Traditional solutions offer value but often in a fragmented or incomplete way. A true budget optimizer like OptiPhi provides the holistic vision, predictive capability, and optimization recommendations necessary to navigate the complexity of the media landscape and ensure that every dollar invested works as efficiently as possible to achieve your business objectives.
Are you ready to stop guessing and start optimizing your media investment strategically?
Discover more about OptiPhi here

In the era of automated advertising and artificial intelligence, we have more tools than ever to unlock the full potential of our campaigns. A prime example is Meta’s Advantage+ Shopping Campaigns, where AI plays a fundamental role in optimizing results. These campaigns analyze millions of signals to identify users most likely to engage, purchase, or click on an ad, maximizing performance through data-driven insights.

With automation handling campaigns and audience targeting, creativity becomes the primary focus for optimization. Studies show that creativity is a major driver of campaign performance on platforms like Meta, where brands have only milliseconds to capture users’ attention in an increasingly competitive environment. Additionally, the high volume of ad impressions can lead to creative fatigue, significantly impacting campaign results.

This new digital paradigm highlights the importance of audience automation, but above all, positions creativity as a key lever for advertisers. Recognizing this shift, Making Science launched ad-machina for Social, extending its automated creative generation capabilities from Search and Performance Max to Meta. ad-machina leverages AI to enhance Meta campaign management, helping brands maximize their advertising investments.

What can ad-machina offer you?

ad-machina is designed to help advertisers maximize the value of their Meta campaigns through automation and the use of AI. Through the API, the tool allows campaigns to be created, managed and published in record time, giving advertisers a competitive advantage by significantly reducing execution times while ensuring continuous optimization.

What sets ad-machina apart is its ability to connect to the customer’s first-party data. This opens up a range of possibilities to automate campaigns directly aligned with business objectives, using customized rules such as:

• Automation based on sales data: The advertiser can set up rules so that sale ads automatically include the best-selling or high in-stock products. This not only saves time, but also ensures that ads are always aligned with business needs.
• Adaptation to seasonality and local behavior: for global brands, ad-machina can adjust creatives based on seasonality and local preferences. This is especially relevant for industries like fashion, where demand greatly varies depending on location, seasonality and the weather. By connecting weather data, advertisers can show different product categories for each geographic location. 
• Margin optimization: by connecting product margin data, ad-machina can prioritize the promotion of categories, brands or products that offer higher margins, helping to maximize the value of each euro invested in Meta.

The most disruptive aspect of ad-machina is its ability to apply AI to analyze and improve creative. Meta uses creative as a crucial signal in its Advantage+ campaigns, and ad-machina leverages this intelligence to help advertisers discover which elements within their creative drive better campaign performance.

For example, ad-machina can analyze factors such as:

• Whether the people in the images are smiling.
• Whether natural light is used in the photos.
• The visual style of creativity.

These details, often overlooked because they are difficult to analyze, can make all the difference in a campaign’s performance. Once the technology identifies key success factors, it allows AI-enabled creative to be adapted to incorporate these improvements. This ability to generate new creative quickly solves one of the biggest challenges facing Meta advertisers: creative fatigue.

In a dynamic environment like Meta, where ads quickly reach their fatigue point, the ability to refresh creatives frequently is essential to maintain performance. ad-machina simplifies this process, reducing dependence on creative teams to perform constant refreshes, helping Meta’s algorithms find the right audience through signals like CTR (Click-Through Rate). In automated campaigns like Advantage+, where the audience is no longer selected by the advertiser, CTR becomes a crucial signal to guide the algorithms towards users with the highest purchase intent.

This all happens in real time and without human intervention, allowing advertisers to focus on strategy while the tool takes care of the entire execution. 

Making Science: Leader in AI for Creativity

With ad-machina, Making Science positions itself at the forefront of AI-powered creativity. This tool not only enables advertisers to optimize their campaigns on Meta, but also transforms the way they manage their advertising spend, aligning creative with business needs and using AI to maximize performance.

In an era where automation is redefining digital advertising, creativity is the key to success.  ad-machina empowers brands to thrive in this new era, ensuring campaigns remain fresh, engaging, and highly effective.

In today’s digital age, data has become the lifeblood of modern marketing. However, with increasing concerns over privacy and data security, businesses must carefully navigate the complex landscape of data collection and usage. As third-party cookies face increasing restrictions, first-party data has emerged as a critical asset for marketers.

The Role of Consent Language

Consent language is the cornerstone of ethical data collection. By obtaining explicit consent from users, businesses can establish a strong foundation of trust and transparency. A well-crafted consent language can significantly improve the user experience. Clear and concise information empowers users to make informed decisions about their privacy and data. By providing transparency and control, websites can build trust with their audience, increasing engagement and loyalty.

Conversely, poorly designed consent language can be off-putting to users. Overly complex or lengthy text can overwhelm visitors, leading to confusion and frustration. Sometimes, users dismiss the consent prompt without carefully considering the implications. This can result in lost opportunities for data collection and personalization.

The Power of First-Party Data

First-party data, collected directly from users, offers a wealth of valuable insights that can be used to:

• Audience Segmentation: Identifying and targeting specific customer segments based on demographics, interests, and behaviors.
• Personalization: Tailoring content and recommendations to individual users.
• Measurement and Attribution: Tracking campaign performance and attributing conversions to specific marketing efforts.
• Customer Relationship Management (CRM): Building stronger customer relationships through personalized communication and support.

Consent Language and First-Party Data Collection

With what we now know, effective consent language is crucial for collecting first-party data. By obtaining users’ explicit permission, brands can establish a legal and ethical foundation for their data collection practices, which can help mitigate risks associated with privacy violations and regulatory fines.

In addition, consent language can provide valuable insights into user preferences and expectations. By analyzing how users respond to various consent options, brands can gain a better understanding of their audience and align data collection practices accordingly.

Best Practices for Consent Language

To ensure consent language is effective and compliant, consider the following best practices:

• Be Clear and Concise: Use plain language that is easy to understand. Avoid legal jargon or technical terms.
• Provide Essential Information: Clearly explain the types of data collected, how it will be used, and the user’s options for opting out.
• Offer Meaningful Choices: Give users a choice between different levels of data collection or usage.
• Make Opt-Out Easy: Ensure that users can easily opt out of data collection or change their preferences anytime.
• Be Transparent: Be honest and upfront about your data collection practices. Avoid misleading or deceptive language.
• Regularly Review and Update: Keep your consent language up-to-date to reflect changes in your data practices or privacy regulations.

These guidelines enable brands to create a consent experience that is both user-friendly and compliant with privacy regulations. Taking a user-first and compliant approach will help build trust with users and allow a brand to collect valuable first-party data—both of which are essential for any online brand to succeed in today’s digital world.

Building a Data-Driven Future

Businesses must invest in robust data management and analytics capabilities to effectively leverage first-party data. By implementing data governance practices and utilizing advanced analytics tools, marketers can unlock the full potential of their data.

As the digital landscape continues to evolve, it’s crucial for businesses to adapt to changing regulations and consumer expectations. By prioritizing data privacy, obtaining informed consent, and effectively utilizing first-party data, businesses can build long-lasting relationships with their customers and drive sustainable growth.

At Making Science, our digital marketing experts can help you understand the ever-changing industry while helping you navigate through the landscape of your first-party data. Connect with us and talk to a Making Science expert today to learn more about how we can help leverage your first-party data.

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TikTok has revolutionized the way we consume content, so it’s no surprise that the platform is now taking the next step in digital marketing. With the launch of keyword advertising in the US, entirely new opportunities are opening up for brands to reach their target audience more directly and effectively.

TikTok has become a go-to search engine, and according to TikTok over half of its users are actively searching, and more than 20% search for something within 30 seconds of opening the app. This feature lets brands connect with users at the exact moment they’re searching, tailoring ads to their specific needs. 

What is Keyword Advertising on TikTok?

Keyword advertising on TikTok works similarly to traditional search engine advertising. When a user searches for a specific word or phrase on TikTok, your ad can appear at the top of the search results. This gives you a unique opportunity to reach users actively searching for products or services you offer.

By targeting specific keywords, you can reach a highly relevant audience that’s already interested in what you’re selling. Your ads will appear directly where users are searching, increasing their visibility and making them more likely to be clicked. With detailed performance metrics, you can easily track the success of your campaigns and make data-driven adjustments to your bids and messaging to reach different audiences and keywords.

Preparing for the Future

While keyword advertising is currently only available in the US, it’s important to start preparing now. Here are some tips:

• Identify Relevant Keywords: What words and phrases do your target audience use to find products or services like yours?
• Optimize Your Product Catalog: Ensure your product information is accurate, complete, and easy to find.
• Create Engaging Content: Develop video content that is both informative, SEO-based, and entertaining to attract new customers.
• Stay Updated: Keep up with the latest news and trends in TikTok marketing.

Full-Funnel Marketing on TikTok

To maximize your investment in TikTok, you should use a full-funnel strategy. This means combining different types of ads and content to reach users at all stages of the customer journey.

• Awareness: Use broad audiences and engaging content to create awareness of your brand.
• Consideration: Target specific audiences and use more informative content to show how your products or services solve customers’ problems.
• Conversion: Use clear calls to action and create a seamless purchase process to drive conversions.
• Loyalty: Build long-term relationships with your customers by creating loyalty programs and engaging them in conversations.

Additionally, tracking needs to be in place to leverage your marketing efforts based on your data. Include server-side tracking for the most precise full-funnel marketing.

At Making Science Company, we have in-depth knowledge of TikTok and can help you with everything from developing a tailored TikTok strategy, create engaging content (either from scratch or based on content you already have), optimizing your campaigns for maximum ROI to stay up-to-date with the latest trends. 

Contact us for more information on how you can seize the Q4 Opportunity on TikTok.

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Google has long been at the forefront of technological innovation, consistently striving to meet the evolving needs of its users. This commitment is evident in their ongoing efforts to enhance the Google Marketing Platform, particularly Search Ads 360 (SA360).

In today’s fast-paced digital landscape, consumers demand immediate and relevant results that align with their search queries. SA360 is designed to equip businesses with the tools they need to deliver personalized and timely advertisements that resonate with their target audience.

By incorporating innovative features and improving platform usability, SA360 empowers marketers to streamline their workflows and achieve better results. With enhanced search engine and campaign support, marketers can accomplish more tasks from a single location, boosting efficiency and driving success.

What do we like about SA360?

1. SA360 offers a centralized platform for managing search campaigns across multiple search engines, empowering marketers to streamline their workflows and enhance campaign performance. With its advanced automation capabilities, you can automate tasks such as bidding, budget allocation, and structural modifications, saving time and effort.
2. The platform is designed for flexibility, supporting multi-advertiser workflows and offering customizable reporting options. This allows you to manage and analyze account activity across various levels, tailoring reports to your needs.
3. SA360 also provides enhanced support for search engines, paid advertising platforms, and third-party partners. This means you can benefit from new features and capabilities specific to each platform, such as Google Ads’ support for Local, Discovery, and Performance Max campaigns.
4. The user interface of SA360 is designed for intuitive navigation, making it easy to manage your campaigns and access key metrics. With a familiar look and feel, SA360 integrates views from Google Ads and Microsoft Advertising, providing a seamless user experience.

By leveraging SA360’s comprehensive features, you can achieve greater efficiency, improve campaign performance, and unlock the full potential of your search marketing efforts.

Google is always introducing new features to make their products better and more user-friendly. To stay ahead of the game and learn about the newest features being released by Google, subscribe to our GMP newsletter by clicking the button below!

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The digital advertising landscape is currently undergoing a seismic shift. Third-party cookies, long the backbone of targeting and measurement, are declining. The rise of the Privacy Sandbox has many marketers scrambling to find alternative solutions. Online advertisers are testing platforms with Privacy Sandbox APIs, and one stands tall compared to the rest: Google’s Display & Video 360 (DV360). 

Unlike cookie-dependent platforms, DV360 is built with a privacy-first approach. DV360 offers a variety of alternative targeting and measurement solutions that don’t rely on third-party cookies. This makes it a future-proof option for advertisers navigating the evolving privacy regulations. We will go into more detail on DV360’s performance without the use of third-party cookies and how it compares to the market, unlocking the power of conversion modeling in DV360 to maximize your campaigns performance, as well as how to maximize your return on ad spent (ROAS) with DV360 using optimized bidding.

Google Privacy Sandbox: A Testing Ground for DSP’s

This Google article* highlights that Google has been running experiments using Privacy Sandbox APIs for the web on Google Display Ads and DV360. These experiments had three groups: comparing the use of ads with both third-party cookies & Privacy Sandbox APIs, neither third-party cookies nor Sandbox APIs, and one final group with only Sandbox APIs active. These tests provide a true scope of how viable interest-based advertising is without relying on third-party cookies. While the results are still preliminary, they show promise:

DV360 shows an 86% recovery in advertiser spending compared to the market average, which shows a 60% decrease in publisher revenue without third-party cookies.* 

Although these experiments are in the early stages, same as the Sandbox API, we have a baseline answer for how Google’s DV360 will last without third-party cookies. Although just about every advertiser will be taking a hit without third-party cookies, Google has an answer to minimize the damages.

Conversion Modeling Unlocks Hidden Value

In programmatic advertising, traditional attribution models have limitations. They often struggle to capture the full impact of your campaigns, especially for online-to-offline conversions or complex customer journeys. This is where Conversion Modeling with DV360 steps in, unlocking the hidden value in your campaigns.

As explained in a Google support article** Conversion Modeling utilizes machine learning to estimate online conversions that wouldn’t be directly attributable through traditional methods. This could include conversions happening on other devices, offline interactions, or conversions with a significant delay after exposure to your ad.

Here’s how Conversion Modeling in DV360 benefits your campaigns:

• More Accurate Reporting: By attributing credit for conversions that might have been missed previously, Conversion Modeling provides a more complete picture of your campaign performance. This allows you to make data-driven decisions and optimize campaigns for maximum impact.
• Improved Bidding Strategies: With a more comprehensive view of conversion data, DV360’s automated bidding strategies can be optimized. This ensures your bids are directed towards impressions most likely to result in a conversion, even if it takes time or happens offline.
• Greater Campaign Efficiency: By attributing credit more effectively, you can identify campaigns that are driving conversions, even if traditional models wouldn’t show them. This allows you to allocate your budget more efficiently and focus on the most successful channels.

Important Considerations:

Conversion Modeling is a powerful tool, but it’s important to use it strategically. Here are some things to keep in mind:

• Conversion Modeling is an estimate: While it provides valuable insights, it’s still an estimation. Don’t rely solely on modeled data, but use it in conjunction with your existing attribution models.
• Data Quality Matters: The accuracy of your Conversion Modeling results depends on the quality of your data. Ensure you have a clean and complete data set for optimal performance.

By leveraging Conversion Modeling in DV360, you can gain a deeper understanding of your advertising impact and unlock hidden value in your campaigns. This allows for more accurate reporting, improved bidding strategies, and ultimately, a more efficient and impactful advertising experience.

Expand Your Reach with Precision Using Optimized Targeting

Reaching the right audience is paramount to a successful advertising campaign. Traditional targeting methods can be limiting, but Optimized Targeting in DV3060 offers a powerful solution. This innovative approach leverages machine learning to go beyond your initial audience selections and identify new, relevant users with a higher conversion potential. 

According to the Google support article*** Optimized Targeting utilizes two key elements:

Audience Signals: These are your initial targeting selections, such as demographics, interests, and custom audiences. These provide a starting point for DV360 to identify similar users.

Real-Time Data: DV360 analyzes vast amounts of real-time data on user behavior, campaign performance, and marketplace trends. This allows it to discover new audience segments that share characteristics with your initial audience and are more likely to convert.

Optimized Targeting offers several key benefits. It expands your reach beyond initial audience selections, finding new potential customers. By focusing on high-conversion users, it boosts campaign effectiveness and optimizes budget allocation. Additionally, it reduces the need for constant audience refinement, saving time and effort while maintaining performance.

Here are some tips to maximize the effectiveness of Optimized Targeting with DV360:

• Start with Strong Audience Signals: Provide a solid foundation by choosing relevant and well-defined audience segments.
• Utilize Diverse Data Sources: Integrate data from various sources like Google Analytics and CRM systems to enrich your audience profiles.
• Set Conversion Goals: Clearly define your campaign goals to guide DV360’s targeting algorithms.
• Monitor Performance: Regularly monitor campaign performance to assess the effectiveness of your optimized targeting strategy.

By utilizing Optimized Targeting with DV360, you can reach more relevant audiences, increase conversions, and ultimately achieve your marketing goals. Utilize DV360’s intelligent algorithms to do the heavy lifting, while you focus on crafting compelling ad creatives and strategic campaign initiatives.

Google’s DV360 positions itself as a formidable force in the evolving digital advertising landscape. Its emphasis on privacy coupled with robust tools like Conversion Modeling and Optimized Targeting, make it a compelling choice for marketers navigating the cookie-less future. While the industry faces new challenges, DV360’s adaptability and performance in Privacy Sandbox experiments demonstrate its resilience and commitment to delivering results. By harnessing the power of DV360, advertisers can not only weather the storm but thrive in this new era of advertising. As Google Marketing Platform resellers, Making Science can help elevate your display campaigns using the full capabilities that DV360 has to offer. Reach out to us today to discuss what we can do for your marketing efforts.

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*https://support.google.com/displayvideo/answer/15192137?sjid=3266901102191875360-NC

**https://support.google.com/displayvideo/answer/11905523?hl=en

***https://support.google.com/displayvideo/answer/12060859?hl=en&sjid=3266901102191875360-NC

ad-machina isn’t your average ad campaign tool. Think of it as a translator, but instead of languages, it translates product information into personalized Google Ads that resonate with individual searchers. Unleash your Google campaign’s fullest potential, while also being able to use this tool for search and Performance Max campaigns, too.

This goes beyond just basic product feed integration. Here’s what sets ad-machina apart:

The Power of Personalization:

ad-machina understands that people search differently than each other. It uses AI to create 15 unique headlines and 4 descriptions tailored to each keyword, incorporating cognitive biases that influence decision-making. This means every search pattern receives a personalized message, creating a powerful user experience without relying on cookies (unlike many competitors). ad-machina isn’t just a “plug-and-play” solution, it’s a dynamic system that continuously optimizes campaigns through data analysis. This ensures your ads stay relevant and effective over time. There’s a common misconception that ad-machina simply builds keywords from product feeds. While many tools do that, ad-machina’s AI personalizes ad copy for each keyword, creating a more dynamic and impactful campaign.

The BrandMax Connection:

ad-machina works seamlessly with BrandMax, a tool focused on building brand awareness through strategic buyer personas and smart bidding. Their main objective is to get a brand presence in the market. BrandMax gets your brand recognized, while ad-machina swoops in to deliver personalized messages to influence the consideration stage. Together, they both work to target the complete full buyer journey, leaving no steps skipped.

Who Benefits Most?

When it comes to impactful and successful verticals, this personalized approach has been particularly impactful in the tourism industry. From major hotel chains to luxurious wellness retreats or all-inclusive beach resorts, compete effectively in the US market. ad-machina shines in industries with diverse product offerings and user search patterns. Tourism is a prime example, with hotel chains offering various room types and locations.

Ready to Personalize Your Ads?

ad-machina by Making Science offers a powerful solution for creating personalized ad experiences that outperform cookie-reliant methods. Contact us today if you want to talk to an ad-machina expert, or visit their website to discover more.

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In the competitive world of e-commerce, standing out requires more than just good products. User experience, information accuracy, and the ability to attract and retain customers are crucial. This is where Trust Generative AI (TGAI), a generative AI platform designed to transform the way you run your online shop, comes in. In this blog, we will explore three key value propositions of TGAI: generating product descriptions, creating landings in multiple languages, and developing SEO-optimized category landings.

Product descriptions generation

One of the greatest challenges for an e-commerce business is maintaining accurate, engaging, and up-to-date product descriptions. TGAI uses generative AI to create detailed and persuasive descriptions in a matter of seconds.

Benefits:

• Scalability: Produces numerous product descriptions quickly, ensuring that each item has a complete and unique description.
• Accuracy: Generated descriptions are detailed, reducing errors and misunderstandings about the expected product.
• Attractiveness: By incorporating attractive keywords and phrases, descriptions capture the attention of the target customer.
• Time-saving: Frees up valuable time that can be spent on other critical areas of the business, for example, creativity.

With TGAI, you can ensure that every product in your catalog has a description that not only informs but also convinces and sells.

Landings in multiple languages

Global expansion is a goal for many e-commerce sites, but the language barrier can be a significant challenge. TGAI facilitates this process by generating landings in multiple languages with the same quality and effectiveness as the original versions.

Benefits:

• Global Accessibility: Reach a wider audience by offering content in their native language.
• Consistency: Maintain a uniform message and tone across all markets.
• Speed: Launch international campaigns quickly without the need for extensive translation.

Break down the language barrier and take your e-commerce to new horizons with TGAI.

SEO-optimized category landings

Landing pages are essential to attract traffic and convert visitors into customers. TGAI generates category landings that are not only visually appealing but are also optimized for SEO, ensuring maximum engagement with consumers.

Benefits:

• SEO Optimized: Landings are designed with SEO best practices, improving your search engine rankings.
• Maximized engagement: Relevant and engaging content that keeps users interested and increases conversions by selecting the keywords that drive the most conversions.
• Flexibility: Quickly adapt landings according to trends and consumer behavior.

With TGAI, you can be confident that each landing page will not only attract traffic but also keep visitors engaged, increasing conversion rates.

Conclusion

In the dynamic e-commerce environment, the ability to adapt and evolve is crucial. TGAI offers a comprehensive solution to improve the user experience, expand your global reach, and optimize your content to attract and retain customers. By integrating your strategy into your e-commerce, you not only simplify complex processes but also position yourself one step ahead of the competition.

Ready to take your e-commerce to the next level? Find out what TGAI can do for you and transform the way you manage your online storefront.

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With Google’s impending deprecation of third party cookies later this year and the industry’s continued emphasis on user privacy, tried and true programmatic advertising norms and practices of the past will cease to exist. At Making Science, we believe this change gives us an opportunity to rethink our existing ways of working, and support our clients as they navigate this changing environment.

We’re shifting from one-to-one precision targeting, to focusing on first-party data. From deterministic measurement, to a future powered by modeled measurement. From data processing within AdTech product platforms, to on-device data processing. These changes also inevitably mean changes to AdTech product platforms, such as Campaign Manager 360.

Campaign Manager 360 Reporting and Attribution Recommendations

Without third party cookies, cross-site and cross-device tracking will look quite different. Luckily, due to modeling, reporting will still be possible but many existing CM360 reporting and attribution features will need to be removed and/or adjusted accordingly. 

For instance, the Attribution Modeling Tool will be significantly impacted. Data-driven attribution (DDA) will be limited, but it will still be a possible attribution model. We recommend using either DDA or Floodlight attribution models. For now, these will likely be the only attribution models available to compare via the Attribution Modeling Tool post 3PCD.

Check out this update from Google for a specific list of reports and metrics being impacted. Sign up for the Making Science Google Marketing Platform Newsletter to stay up to date on the latest product news!

Actions to Take in Preparation for 3PCD

Advancements in privacy-safe advertising techniques and these product updates mean there are some important actions for advertisers to take to update and maintain reporting capabilities.

Google recommends advertisers:

• Use the Google Tag or Google Tag Manager as your method for deploying Floodlight tags
• Review Floodlights and disable the attribution tracking setting for any Floodlights that aren’t needed for attribution or bidding purposes
• Enable consent mode
  • Required in EEA
• Turn on Enhanced Attribution in CM360
• Confirm conversion domains at the placement level
• If using CM360 for tracking, set up Tracking Ads Tags

Taking these actions and utilizing these features will ensure your CM360 account is able to take advantage of the latest privacy-safe technology Google is integrating into their products. 

An Exciting Future Ahead

While there are clearly many product and expectation adjustments to be made, Google is confident that despite the impact from 3PCD, CM360 will still meet customer goals surrounding:

• Enterprise campaign activation and management at scale
• Serving and personalizing display and video creatives
• Agnostic measurement for brand and performance campaigns
• Quantifying media impact and campaign value

These industry changes and challenges will no doubt lead to impressive innovations across the digital marketing landscape. As we all adapt to the advertising environment without third-party cookies, more and more advanced technology will continue to be developed and integrated into products. We at Making Science are excited for what’s to come and for the opportunity to learn and grow with our customers.

Reach out to Making Science today for help taking the appropriate steps to ready your CM360 account. We offer a comprehensive CM360 audit to ensure your account is efficient and you’re able to meet your advertising goals both now and when third-party cookies are officially deprecated. 

Making Science is a Google Marketing Platform Certified Partner and a leading expert in privacy-safe and compliant advertising practices. We can aid you in implementing Consent Mode, Enhanced Conversions, and more. We also have expertise in Google Analytics, Google Tag Manager, and can assist with your tagging needs. Send us a message: info@makingscience.com

Customer Data Platforms (CDPs) have undergone significant evolution in recent years, expanding their scope and capabilities beyond customer data management. Today, companies are looking for more comprehensive solutions that integrate data from various areas to obtain a holistic view of the business and make more strategic decisions. In this context, the concept of Central Data Platform (CDP) emerges, a centralized platform that unifies data from customers, products, finances, operations, and other areas, allowing for comprehensive information management.

The event “Optimizing CDP with Google Cloud”, held on March 5th at Google’s offices in Madrid, addressed this evolution and the keys to making the most of the capabilities of CDPs in the cloud. Here are the 6 most relevant lessons from the event:

1. Focus on activation:

• Prioritize obtaining immediate value: It is not necessary to start with a large-scale CDP project. It is advisable to start with an MVP that focuses on data activation, that is, on its use to make decisions and execute actions immediately.
• Efficiency from the start: With just two relevant data sources, it is already possible to obtain results and value from the CDP. Two data sources, one activation.

2.Flexibility and adaptability:

• Composable CDP: Starting with the focus on activation, the necessary pieces and data should be gradually incorporated without overloading the platform. Each company has unique needs, so the CDP must be flexible and adaptable to these needs.

3.Long-term vision:

• Digital transformation strategy: The implementation of a CDP is not a one-time project, but a long-term strategy that requires a clear vision and a sustained commitment from the company.
• Durable technologies and data: Technologies and data types should be selected that can last over time and adapt to market and business changes.

4. Beyond Customer Data:

• Expanding the scope: A CDP is not limited to customer data, but can integrate financial, product, personnel, marketing and other information relevant to the company.
• Advanced personalization: The integration of diverse data allows us to move from general targeting to individualized personalization and, finally, to hyper-personalization using technologies such as Generative AI (GenAI).
• Unique experiences: The CDP can use this data to create personalized experiences for each customer, increasing satisfaction and loyalty.

5. Benefits for the entire company:

• Interdepartmental collaboration: Although CDP projects are often led by marketing and sales departments, over time and with the accumulation of data, they can be very useful for other teams such as finance, product, customer service, operations, and more.
• Internal efficiency: The CDP can boost collaboration between different departments and improve the efficiency of internal processes.

6. Evolution towards the Central Data Platform:

• Integration and comprehensive management: Companies are looking for more comprehensive solutions that integrate data from various areas into a single centralized platform.
• Strategic decision making: The Central Data Platform allows for comprehensive information management, facilitating strategic decision making and predictive analysis.

At Making Science, we are convinced that the CDPs and Central Data Platforms are key tools for the digital transformation of companies.

If you want to know more about how we can help you implement a CDP or a centralized Central Data Platform in your company, do not hesitate to contact us.

Save the date:

Our next event in Google Cloud’s Madrid offices will take place on the 24th of April. We will soon share more details about the topic, speakers and surprises that we have prepared.