Introduction

Many companies approach digital optimization as a series of isolated improvements.

A redesign here. A new landing page there. Maybe an occasional A/B test when traffic drops or performance stalls.

While these changes can produce temporary improvements, they rarely unlock the full potential of Conversion Rate Optimization (CRO).

The organizations that consistently outperform their competitors take a different approach. They treat CRO not as a one-time project, but as a continuous strategy of experimentation and learning.

Instead of focusing on individual improvements, they build systems that generate ongoing optimization and cumulative growth.

The Difference Between One-Time Changes and Continuous CRO

When companies implement occasional design updates or isolated experiments, the impact is usually limited.

A single optimization may improve performance for a short period of time, but without a structured process the learning often stops there.

Continuous CRO works differently.

Rather than relying on sporadic improvements, teams follow an ongoing cycle of:

• analyzing user behavior
• identifying friction points
• developing hypotheses
• running experiments
• learning and iterating

This creates a continuous flow of insights and improvements that compound over time.

The Power of Compounding Optimization

The real value of CRO appears when small improvements accumulate across the entire digital journey.

Consider a simple example.

A company improves several stages of its funnel over a 12-month period:

• +5% improvement in landing page engagement
• +4% improvement in product page interaction
• +6% improvement in checkout completion
• +3% improvement in post-purchase upselling

Individually, each improvement may appear modest.

But when these changes accumulate across the entire funnel, the combined effect can significantly increase revenue and customer value.

This is the concept of compounding optimization: small improvements that generate exponentially larger outcomes over time.

What Happens When CRO Becomes Continuous

Organizations that adopt a continuous CRO strategy often observe several long-term benefits.

Faster learning cycles

Regular experimentation allows teams to quickly understand what works and what does not.

Higher return on marketing investment

When conversion rates improve, the value of every marketing campaign increases.

Better user experiences

Over time, these improvements transform the digital experience into a high-performing system that continuously adapts to user behavior.

How Continuous CRO Drives ROI Over Time

The financial impact of continuous CRO can become clear over a 12-month period.

Imagine a company with the following starting metrics:

• 100,000 monthly visitors
• 2% conversion rate
• €100 average order value

This results in €200,000 in monthly revenue.

Now imagine a continuous CRO program gradually improves conversion to 2.6% over 12 months through incremental optimizations.

Without increasing traffic or marketing spend, monthly revenue becomes:

€260,000

That represents a 30% increase in revenue driven purely by optimization.

And because these improvements persist, the impact continues into the following years.

Why Continuous CRO Outperforms One-Time Optimization

Companies that only implement occasional changes often struggle to maintain momentum.

Without a structured experimentation process, improvements are slower and insights are easily lost.

Continuous CRO creates a different dynamic.

It transforms optimization into a learning system, where every experiment generates knowledge that informs the next improvement.

This approach allows organizations to move from reactive updates to proactive growth optimization.

Conclusion: Growth Is Built Through Continuous Learning

CRO is often misunderstood as a tactical activity focused on individual tests.

In reality, its true power lies in continuous experimentation and accumulated learning.

Organizations that treat CRO as an ongoing strategy—not a one-time initiative—unlock a powerful engine for sustainable growth.

Because in digital optimization, success rarely comes from a single breakthrough.

It comes from hundreds of small improvements that compound over time.

Introduction

Every digital team wants to improve conversion rates. But the question many organizations ask is simple:

What actually works?

Across industries such as travel, financial services, and insurance, the fundamentals of Conversion Rate Optimization (CRO) remain the same: understand user behavior, identify friction points in the digital journey, and test improvements that make the experience clearer and easier for users.

Yet the specific opportunities for optimization often vary depending on the sector.

Below are three real-world CRO success stories that demonstrate how clear hypotheses, focused experimentation, and user-centered design can generate measurable business impact.

Travel: Improving the Booking Journey at Bahía Príncipe

Digital travel experiences often present users with multiple accommodation options, which can create friction when comparing hotels or destinations.

Hypothesis

Users were not progressing through the booking journey because hotel options were displayed too low on the destination page. Visitors had to scroll before seeing available hotels, making it harder to compare options quickly.

Action

Working with Bahía Príncipe Hotels & Resorts, the CRO team redesigned the destination page so that hotel options appeared higher in the layout and multiple hotel cards could be viewed simultaneously.

This made it easier for users to explore, compare, and select their preferred hotel.

Impact

The optimized experience generated a +35% increase in progression within the reservation process, bringing significantly more users into the booking funnel.

This case illustrates how improving visibility and reducing effort in product discovery can drive meaningful improvements in travel conversions.

Insurance: Boosting Registrations at Trushield Insurance

Insurance products often involve complex information, which can make it difficult for users to quickly understand their relevance.

Hypothesis

Users were not engaging with insurance products because the messaging felt generic and did not reflect their local context or specific needs.

Action

For Trushield Insurance, the website experience was personalized based on user location, adapting content and messaging to make the offer more relevant to each visitor.

This contextual personalization allowed users to better connect with the product and understand its value.

Impact

The personalized experience resulted in a +266% increase in insurance registrations and subscriptions.

This example demonstrates how relevance and contextual messaging can significantly increase engagement and lead generation.

Financial Services: Increasing Registrations at Federated Insurance

Many financial and insurance products require users to understand abstract risks before taking action.

Hypothesis

Users were not completing registrations because the product page did not clearly communicate the risks that the insurance product was designed to address.

Action

The product page was redesigned to highlight real-life scenarios and potential risks, helping users better understand the importance of the insurance coverage.

By making the value proposition more tangible, the experience became clearer and more persuasive.

Impact

The redesigned experience resulted in a +76% increase in registrations.

This case highlights how clearer storytelling and better value communication can significantly improve conversion rates.

What These CRO Success Stories Have in Common

Although these examples come from different industries, they share several key principles.

Successful CRO initiatives typically involve:

• identifying a clear friction point in the user journey
• defining a testable hypothesis
• implementing targeted improvements
• measuring the business impact through experimentation

When this process is repeated consistently, even small improvements can generate significant cumulative growth over time.

Conclusion: Small Improvements, Big Results

CRO success rarely comes from a single dramatic redesign.

Instead, it emerges from continuous experimentation and incremental improvements that make digital experiences clearer, faster, and more intuitive for users.

Across travel, insurance, and financial services, the principle remains the same:

When friction disappears, conversions follow.

If you’d like to explore more real-world CRO success stories, visit our website to discover additional case studies and insights from optimization projects across multiple industries.

Do you feel like your company is sitting on a goldmine of data but doesn’t have the right shovel to dig it up? In a digital ecosystem where privacy rules, AI-Driven Marketing has stopped being a future option and has become today’s survival engine.

It’s no longer enough to collect data; the real challenge is activating it in real time. In this post, we’ll explain what this trend is, why it’s critical for your ROI, how to implement it through predictive models, and who is leading the change. Get ready to discover how artificial intelligence can predict your customer’s next move before they even know it themselves.

What Exactly Is AI-Driven Marketing?

AI-Driven Marketing is the use of machine learning algorithms and artificial intelligence to make automated decisions based on data collection and analysis. Unlike traditional marketing, segmentation is no longer based on “intuition,” but on ultra-precise behavioral patterns.

By integrating AI-Driven Marketing into your tech stack, you enable tools to analyze thousands of variables simultaneously to deliver the right offer to the right user.

From Static Data to Predicting CLV

One of the biggest advantages of adopting an AI-Driven Marketing strategy is the ability to calculate Customer Lifetime Value (CLV) predictively.

• Churn prediction: Identify which users are about to leave your brand.

• Propensity models: Discover who is most likely to purchase a premium product.

• Web personalization: Change your homepage content in real time based on interests detected by AI.

Technical Implementation: The Role of CDP and the Cloud

For AI-Driven Marketing to work, you need a solid infrastructure. It’s not just about “installing AI,” but about connecting your data sources (CRM, website, app) into a Customer Data Platform (CDP) and processing them in the cloud (Google Cloud, Azure).

This architecture allows AI-Driven Marketing to feed your Google Ads or Meta campaigns with much richer conversion signals than a simple “click.”

3 Immediate Competitive Advantages

• Budget optimization: Stop bidding on users with low conversion probability.

• Seamless user experience (UX): Less advertising noise, more relevance.

• Scalability: AI works 24/7 optimizing thousands of micro-segments that a human could never manage.

In short, AI-Driven Marketing is the bridge that connects Big Data with business profitability. The key is not having more data, but using artificial intelligence to make that data work for us—predicting behaviors and personalizing experiences at scale.

At Making Science, we believe the future belongs to brands bold enough to automate with purpose. The question isn’t whether AI will change your marketing, but when you will start leading that change.

Do you want to know if your data structure is ready for AI? Leave us a comment with your questions or contact us for a personalized consulting session. Let’s make your data speak!

SEO has evolved beyond the classic approach based solely on text. Today, in the midst of the artificial intelligence (AI) era, AIO and LLMs have transformed the way search engines interpret, classify, and display content. Writing a good article is no longer enough: to stand out on Google and other search engines, it’s necessary to implement multiformat SEO, where text coexists with images, videos, audio, interactive tables, and visual elements that adapt to the user and their search intent.

What multiformat SEO is and why it’s key today

Multiformat SEO is the strategy of integrating different types of content into a single digital ecosystem to increase relevance and improve the user experience. Google and other search engines increasingly reward pages that not only provide valuable textual information but also enrich queries with visual, auditory, or interactive elements.

Clear examples of this shift are voice and image searches (like Google Lens), the growing prominence of videos on YouTube and Google Discover, and the rise of featured snippets, where a well-optimized table can appear directly in search results.

At the same time, concepts like AIO highlight how search engines increasingly prioritize content that adapts to the context, intent, and preferred format of the user. This confirms that good text alone is not enough: working with multiple formats and channels is essential to meet new search and digital consumption habits.

Types of Content in Multiformat SEO

• Optimized text: Still the foundation of SEO, though less dependent on keyword stuffing and more on concepts such as query fan out or contextual relevance.
• Images: Optimized with alt attributes, descriptive titles, and lightweight formats. Visual indexing (Google Images, Pinterest, Lens) is a powerful source of organic traffic.
• Videos: Today, Google and YouTube prominently rank videos with optimized titles, descriptions, and transcripts. Subtitles and chapters enhance user experience and improve SEO.
• Tables and charts: An increasingly valuable resource for rich snippets, especially for comparisons and numerical data.
• Audio and podcasts: With optimized transcripts and descriptions, audio becomes indexable content, reaching users who prefer listening over reading.
• Interactive content: Quizzes, calculators, or online demos improve retention and generate positive user experience signals, which search engines reward.

Multiformat SEO Optimization in the Age of AIO and LLMs

With the rise of AIO and the weight of LLMs (Large Language Models), Google no longer evaluates content solely based on text, but on how it is presented across different formats and whether it fulfills real user intent. To stand out in this new landscape, several key factors must be considered:

• Semantic relevance across all formats: Text alone isn’t enough; images need descriptive ALT attributes, videos require clear titles and transcripts, and audio should be paired with summaries or notes for indexing.
• Snippets and featured fragments: Google rewards structured information. Tables, lists, and videos segmented into chapters have a higher chance of appearing directly in results.
• Visibility across multiple channels: YouTube and other social platforms are integrated into SERPs. Adapting content to each platform increases positioning opportunities.
• User experience aligned with intent: Quick voice searches demand concise answers, while complex comparisons require tables or charts. The format must always match user expectations.
• Structured data and enriched metadata: Essential for Google to understand the type of content (image, video, recipe, product, news) and display it in the best possible position.

The new SEO requires multiformat strategies that connect with users searching in different ways and environments, where variety and clarity matter more than length. Remember that conversational search is on the rise.

Which formats work best by client type

Not all users consume information the same way. Adapting content format to the client type is crucial:

• B2C (Business to Consumer): Short, visual, and emotional formats work best here. Short videos, reels, inspiring images, and light podcasts drive connection and engagement. Storytelling is key.
• B2B (Business to Business): This audience seeks depth, data, and authority. Whitepapers, studies, detailed infographics, comparison tables, and recorded webinars showcasing expertise and credibility work well.
• Ecommerce: Conversion is the priority. High-quality images, SEO-friendly descriptions, product demo videos, and audio/video reviews build trust and reduce friction in the buying process. For a deeper look at this topic, explore our blog post on “AI in Ecommerce”.
• Media and niche blogs: Long-form optimized text combined with images, audio quotes, explanatory videos, and comparison tables enriches the experience and increases time on page.

User experience as the core of multiformat SEO 

Google has made it clear through algorithm updates that user experience (UX) is an essential ranking factor. Multiformat content not only diversifies ranking opportunities but also improves navigation, increases time on page, and reduces bounce rate.

To achieve this, we must:

• Adapt content to the most suitable format for each stage of the conversion funnel.
• Dynamically adjust content by device, channel, or user behavior.
• Generate accessible versions for voice searches, automatic translations, and inclusive content.

Conclusion

Multiformat SEO is no longer a trend but a necessity. In an environment where users consume information in multiple formats and search engines evolve to meet these demands, diversifying and optimizing content is the key to digital success.

B2C, B2B, and ecommerce companies must understand that SEO is no longer just about keywords, but about building complete experiences that combine text, images, audio, video, and interactive elements. Artificial intelligence becomes a strategic ally to analyze, create, and optimize these resources efficiently, ensuring not only better rankings but also a more authentic and lasting connection with users.

Are you feeling like your emails don’t always land at the right time? Looking for a more instantaneous and personal connection with your customers? Discover how WhatsApp as an additional communication channel can transform your strategy, allowing you to activate more efficient and direct campaigns through Marketing Cloud.

In this post, we explain the what, why, and how so that you—the Marketing Cloud expert—can integrate it seamlessly, solving the challenge of immediacy in your communications. Get ready to take your interactions to the next level!

1. Why Include WhatsApp in Your Marketing Cloud Strategy?

In an information-saturated world, WhatsApp as an additional communication channel has become the preferred messaging tool for billions. Ignoring it means missing a golden opportunity. But why should you activate it specifically within Marketing Cloud?

• Immediacy and High Open Rates: WhatsApp messages are read almost instantly. We are talking about open rates exceeding 90%—unthinkable in the world of email!
• Two-Way Communication: It’s not just about broadcasting. WhatsApp allows for real-time conversations, making it ideal for support, feedback, or quick resolutions.
• Personalization at Scale: Leveraging the power of Marketing Cloud, you can segment and personalize messages far beyond the classic “Hi [Name].”
• Enhanced Customer Experience: Offering a familiar and convenient communication channel boosts satisfaction and long-term loyalty.

Imagine sending a cart abandonment reminder, a shipping confirmation, or a back-in-stock alert directly to your customer’s favorite chat app.

2. First Steps: Requirements to Integrate WhatsApp in Marketing Cloud

Before diving in, it is crucial to understand that setting up WhatsApp as an additional communication channel requires a specific configuration. It’s not as simple as clicking “send” on an email.

a) The WhatsApp Business API: Your Access Gate

You will need a WhatsApp Business API account. This isn’t the app you use on your phone; it’s an interface that allows companies to send messages at scale. Various Business Solution Providers (BSPs) can help you set this up.

b) Business Account Verification

Meta (formerly Facebook) has a strict verification process for Business accounts. Ensure you have all your legal documentation ready. This process guarantees security and prevents your brand from being flagged as spam.

c) User Opt-in: Absolutely Essential!

To use WhatsApp as an additional communication channel, you must have the user’s explicit consent (Opt-in). This is non-negotiable and critical for the legality of your communications. How can you get it?

• Web forms.
• During the checkout process.
• A clear CTA in an SMS.
• Via an email campaign.

3. Best Practices for Activating WhatsApp Campaigns from Marketing Cloud

Once the basic setup is done, the magic happens within Marketing Cloud. Here are the keys to ensuring your campaigns are a total success:

a) Content Strategy and Approved Templates

WhatsApp is not email: messages should be shorter, more direct, and maintain a conversational tone.

• Message Templates: To initiate a conversation outside the 24-hour window, you must use templates pre-approved by WhatsApp.
• Personalization: Use Marketing Cloud contact attributes to make your templates relevant. Example: “Hi {{1}}, your order {{2}} is on its way!”

b) Integrating Journey Builder

This is where WhatsApp as an additional communication channel truly shines. You can include WhatsApp activities within your Journeys.

• Omnichannel Logic: If a customer doesn’t open an important email within 2 hours, trigger an automatic WhatsApp message.
• Wait Activities: Respect the user’s time. Don’t send messages in the middle of the night; use “Wait Until” activities to optimize delivery times.

c) Measurement and Optimization

What isn’t measured cannot be improved. Use Marketing Cloud’s analytics to track:

• Delivery rates.
• Open rates (Read receipts).
• Click-through rates (CTR) on your links.

Conclusion

In summary, activating WhatsApp as an additional communication channel within your Marketing Cloud ecosystem is no longer an “extra”—it is a necessity for brands that want to stay relevant. By following these best practices, from securing the correct Opt-in to automating via Journey Builder, you will bridge the gap between your brand and your customers.

At Making Science, we believe that the best communication is the one that happens where the customer feels most comfortable. And right now, that place is WhatsApp.

Ready to start? If you need help with the technical setup or defining your conversational strategy, we are here to help you activate WhatsApp in Marketing Cloud and turn every message into a meaningful connection.

Don’t leave your customers on “read”—start the conversation today!

Introduction: The Secret to Maximizing Every Dollar of Your Media Investment

CMOs, do you ever feel like even when you increase marketing spend, results aren’t growing at the same rate? You’re not alone. This phenomenon, known as diminishing returns, is one of the biggest challenges in media spend optimization. But what exactly does it mean, and how can you avoid it? It refers to the point where adding more investment to a marketing channel no longer produces a proportional increase in results. It’s an economic concept that, when applied to marketing, explains why continuous growth in investment doesn’t always translate into unlimited growth in sales or leads. Why is understanding this crucial? Because ignoring it can lead you to waste valuable resources on saturated channels, instead of optimizing your budget for maximum impact. In this post, we’ll reveal how to identify and overcome diminishing returns so your investment works smarter.

What are Diminishing Returns in Marketing?

Imagine you’re watering a plant. At first, every drop of water helps it grow. But if you keep adding water non-stop, the plant drowns. Similarly, in marketing, there’s an optimal investment point for each channel. Before that point, every additional dollar generates a positive and increasing ROI. However, once you reach that threshold, each extra dollar begins to generate less impact, to the point where the additional investment might yield no benefit or even a negative one.
This concept of diminishing returns doesn’t mean you should stop investing, but rather that you need to be smarter about where and how much you invest. The problem this understanding solves for CMOs is precisely how to avoid channel saturation and ensure every part of the budget goes where it can generate the greatest incremental value.

How to Identify Diminishing Returns in Your Channels

Recognizing diminishing returns is the first step to optimizing your spending. Here are some warning signs:
Flat or declining response curves: If you graph your investment in a channel versus the results obtained (sales, leads, etc.), and the curve starts to flatten or even decline, you’re experiencing diminishing returns.

• Increasing CPA/CPL: If the cost per acquisition (CPA) or cost per lead (CPL) for a channel increases significantly as you ramp up investment, it’s a clear signal.
• Decreasing ROAS/ROI: A declining return on ad spend (ROAS) or ROI despite increased investment also indicates you’re reaching the saturation point.
  For precise detection of diminishing returns, tools like Marketing Mix Modeling (MMM) are fundamental, as they analyze the incremental impact of every dollar invested in each channel.

Strategies to Overcome Diminishing Returns and Optimize Your Budget

Once you’ve identified the points of diminishing returns, it’s time to act. The key isn’t to cut your overall marketing budget, but to reallocate it more effectively.

• Smart Budget Reallocation: Identify the optimal point: Use advanced models to determine the ideal investment in each channel before returns start to diminish.
  Shift investment: Move funds from channels already showing diminishing returns towards those that still have growth potential or are under-invested. This could mean exploring new channels or formats.
• Creative and Message Optimization: Sometimes, diminishing returns aren’t due to channel saturation, but rather message or creative fatigue. Experiment with new creative approaches, audiences, or segmentation within the same channel.

• Multi-Channel Analysis (MMM and Attribution): Combine Marketing Mix Modeling (MMM), which gives you a macro view of impact, with more granular attribution models. This will allow you to understand not only the direct effect of each channel but also the synergies and the role of each touchpoint in the customer journey, thus avoiding saturation. At Making Science, our integrated solutions like Optiphi are designed precisely for this.

Conclusion: Turn Challenge into Opportunity with Diminishing Returns

Understanding and managing diminishing returns is vital for any CMO looking to maximize the efficiency and impact of their marketing investment. It’s not about spending less, but about spending smarter. By identifying when a channel reaches its saturation point, you can strategically reallocate your resources, explore new opportunities, and ensure every dollar generates maximum value.
Are you ready to stop wasting and start optimizing your marketing budget? Seize the opportunity to turn diminishing returns into a competitive advantage! If this post has opened your eyes, leave us a comment or share it. Because true marketing wisdom isn’t just about investing more, but about investing wisely!

For years, SEO professionals treated monthly search volume as the compass that guided every strategy. We picked topics, set priorities, and measured the potential of a keyword almost exclusively by that number.

But by 2025, that approach feels outdated. Google isn’t just showing blue links in the SERPs anymore. It now presents results through features like AI Overviews and AI Mode (already live in some regions), delivering direct, AI-generated summaries instead of a list of links.

Meanwhile, users are shifting their behavior. Increasingly, they’re asking questions directly to ChatGPT, Gemini, Claude, or Perplexity rather than typing into a search bar. In this context, searches aren’t keywords anymore, they’re conversational prompts. And right now, there’s no reliable public data to tell us the “volume” of those queries.

If you’re waiting for your SEO tool to catch up with the trend… you’re already behind.

Why Predictive SEO Matters

Predictive SEO doesn’t sit around waiting for data to confirm a trend. It takes the lead.

• It spots early signals using tools like Google Trends or AnswerThePublic.
• It creates content before the metrics are visible, by tapping into Reddit, X, Quora, Feedly, niche forums, or Google News.
• It’s optimized for conversations, thinking about how a user would phrase a question to a chatbot — or how Google might condense an answer in AI Overviews.

The First-Mover Advantage

In this new world of conversational search, being the first source cited by an AI model is a huge competitive edge.
Once a chatbot or Google references your content in its responses, dislodging it becomes extremely difficult.

How to Adapt Today

1. Keep an eye on forums and social platforms to spot weak signals early.
2. Write answers to complex questions that are clear, structured, and genuinely helpful, the way an AI assistant would.
3. Shift your focus to intent, not exact keywords: create content that solves problems, not just content that ranks.

Conclusion

Predictive SEO is the strategy that ensures your brand shows up in AI-driven answers.

It’s no longer just about hitting Google’s front page. It’s about becoming the trusted source that AI models cite when users ask questions. That’s the real visibility frontier in 2025.

At Making Science, our SEO & Content team has already made this approach to the foundation of how we create and optimize content.

👉 So let me ask you: are you making sure your brand — or your clients’ brands — appears in AI’s answers?

What is MMM and Why Do You Need It Now?

In the fast-paced world of marketing, CMOs face constant pressure to demonstrate the return on investment (ROI) of every campaign. But how do you truly know what’s working and where to invest the next dollar? This is where Marketing Mix Modeling (MMM) comes in. What exactly is MMM? It’s a powerful analytical technique that uses econometric models to quantify the historical impact of all your marketing activities (digital advertising, TV, radio, print, promotions, etc.) on your sales and other key KPIs. Why is it crucial now? Because in a fragmented data landscape with increasing privacy restrictions, MMM offers a holistic, platform-agnostic view, allowing you to make smarter, data-driven budget allocation decisions. At Making Science, we understand that optimizing spend is vital, and MMM is your perfect ally.

The Budget Allocation Challenge

Traditionally, marketing budget allocation has been a complex exercise, often based on intuition or limited data. With the proliferation of channels and the difficulty of tracking the complete customer journey due to privacy regulations, many CMOs struggle to understand the real impact of each investment. Should you invest more in social media or TV? What’s the saturation point for your investment in a specific channel? Without a robust methodology, these questions remain unanswered, leading to suboptimal decisions and ultimately, lower ROI. This is where MMM truly shines.

MMM: The Science Behind Your Marketing Decisions

Marketing Mix Modeling (MMM) goes beyond last-click attribution, analyzing historical marketing data, sales data, external factors (like seasonality or competitor actions), and macroeconomic variables. By using advanced econometric models and statistical techniques, MMM can:

• Quantify Impact: Determine the incremental impact of each marketing channel on your sales.
• Optimize Allocation: Recommend the optimal allocation of your budget across different channels to maximize ROI.
• Predict Performance: Forecast the future performance of your campaigns based on different investment scenarios.
• Understand Interaction: Reveal how different marketing channels interact with each other, identifying synergies and cannibalization effects.

This comprehensive insight offered by MMM allows CMOs to not only understand what worked in the past but also to plan confidently for the future.

Key Benefits of MMM for CMOs

Implementing Marketing Mix Modeling (MMM) offers significant advantages for any CMO looking to improve their budget decision-making:

• Holistic and Aggregated View: Provides a complete understanding of marketing performance at a macro level, without relying on individual user data, making it ideal for the privacy era.
• ROI Optimization: Identifies the most profitable investments and helps reallocate the budget towards channels with the greatest impact.
• Strategic Planning: Allows for simulating different investment scenarios and forecasting their impact on results, facilitating long-term planning.
• Greater Accountability: Offers a solid, data-driven basis for justifying spending decisions to leadership.

With MMM, CMOs can move from guesswork to precision, ensuring every dollar invested works its hardest.

Empower Your Budget with MMM

In short, Marketing Mix Modeling (MMM) is not just an analytical tool; it’s the new secret weapon for CMOs who want to dramatically improve their budget allocation decisions in an increasingly privacy-centric world. It empowers you to understand the true contribution of each of your marketing efforts and optimize your spending for maximum impact.

Are you ready to stop guessing and start making data-backed marketing decisions? Explore how MMM can transform your strategy! Leave a comment or share this post if you believe MMM is the future of marketing budget optimization. Because in marketing, as in life, “what isn’t measured isn’t improved… and what is modeled, is optimized!”

In 2025, Google rolled out a major update with the launch of AI Mode, which is already live in the U.S., UK, and India (as of 30th July). This new feature is shaking up how people search. Unlike the AI Overviews we’ve seen in the past, AI Mode is a separate tool that uses generative AI to give you detailed answers directly on the search page. In this post, we’ll take a closer look at how it works, what it means for SEO, and how businesses can adapt to this new way of searching.

1. How does Google’s AI Mode work?

AI Mode is powered by Google’s Gemini 2.5 model, a super advanced language model that is designed to give you detailed answers to complex searches. Instead of showing directly a list of web pages, AI Mode breaks down your search into smaller pieces of content (chunks), running parallel searches to get data from different sources and creating a single response. This answer appears directly on the search page, so you don’t have to click through to other websites.

What makes AI Mode different? 

The main difference it brings to the table is that it can handle different types of inputs, like text, voice, or even images. Users can upload a photo and ask follow-up questions, interacting with the AI in a more conversational way. Plus, the AI can adjust its responses over time based on your previous conversations. For example, if you ask a broad question and then follow it up with something more specific, AI Mode will refine its answer to give you more detailed info.

2. What does AI Mode mean for SEO?

AI Mode brings a new set of challenges for SEO professionals, especially when it comes to traffic and click-through rates (CTR). In traditional search, users are shown a list of websites to click on, but in AI Mode, users are getting answers directly on the search page. This could mean fewer clicks to external websites, as the AI can sometimes fully answer the query right there.

Some reports have shown a drop in CTR, since users can get the information they need without leaving the search page. However, this doesn’t mean you lose visibility entirely. Even if users don’t click through, your content can still be exposed if it’s referenced in the AI-generated answers. Plus, Google has noted that users are often spending more time on the search page, asking follow-up questions and diving deeper into topics. This could actually lead to more engagement in the long run. Besides, boosting brand awareness is a crucial element of any successful marketing strategy, and this presents a prime opportunity to gain an advantage. 

3. New SEO metrics to focus on

With the rise of AI Mode, some traditional SEO metrics like clicks and rankings don’t carry the same weight anymore. Impressions are now more important than ever. However, there are also new metrics to keep an eye on:

• Visibility in AI Search features: This metric tracks how often your content appears in AI-generated elements like Featured Snippets, Knowledge Panels, and AI Overviews. Tools such as Semrush and Ahrefs can help monitor these appearances, providing insight into your content’s reach within AI interfaces.
• Branded search volume trends: Monitoring the frequency of searches for your brand name helps assess brand awareness and the effectiveness of AI-generated content in driving recognition. An increase in branded searches indicates that AI systems are referencing your content while also enhancing your brand’s visibility.
• User engagement metrics: Metrics such as bounce rate, time on page, and interaction depth provide insights into user satisfaction. AI systems consider these signals when determining content relevance, making them crucial for understanding how users interact with your content.

These new metrics focus on user intent and understanding how well your content is engaging with people—rather than just focusing on clicks alone.

4. What do we do in Making Science to perform better in AI Mode?

To help you get noticed in AI Mode, we follow these proven best practices:

• Ensure crawlability and indexing: AI Mode relies on Google’s crawling and indexing system, so we have to be sure our content is easy to access and index by Google systems. This means checking for any crawl errors and ensuring we’re not blocking anything relevant with robots.txt.
• Create high-quality content: Content that is thorough, authoritative, and effectively answers users’ questions is more likely to be featured by AI Mode. Google systems still favor high-quality content, so we should keep focusing on providing value (maybe more than ever!) for them.
• Review and apply structured data: Structured data like schema markup can help Google have a better understanding of our content, especially when it comes to media like images or videos.
• Optimize for user experience: While AI Mode may reduce clicks, the overall user experience still matters. A fast, mobile-friendly, and easy-to-navigate site is key in our strategy.

Key takeaways

Google’s new AI Mode is essentially a smart chatbot built directly into the search page, designed to answer complex questions in conversation style. This is changing the game for websites because the AI often answers questions directly, meaning fewer people click on the traditional blue links.

For businesses, the new goal is to become a trusted source that the AI quotes in its answers. The best way to do this is by building a strong, reputable brand and creating genuinely helpful content that offers unique, real-world experience and insights that only a human expert can provide.

Are you investing heavily in digital ads but not seeing the sales growth you expect? You drive traffic, your campaigns are running, but the final conversion numbers feel lackluster? What if you could significantly increase your revenue without spending a single extra euro on advertising?

This is where Conversion Rate Optimization (CRO) comes in. This post will show you what CRO is, why it’s the non-negotiable core of any modern digital plan, and how you can use it to transform your e-commerce performance. A strong CRO strategy is not just about small tweaks; it’s about fundamentally enhancing the user experience to maximize the value of every single visitor.

Ready to turn more clicks into loyal customers? Let’s dive in.

Beyond the Acronym: What is CRO?

At its heart, Conversion Rate Optimization (CRO) is the systematic process of increasing the percentage of website visitors who take a desired action — whether that’s making a purchase, signing up for a newsletter, or filling out a contact form.

It’s not about guesswork or blindly changing the color of a button. True CRO is a blend of art and science. It involves deep analysis of user behavior, data-driven hypotheses, and rigorous A/B testing to understand what truly motivates your audience. The ultimate goal is to remove friction and make it as easy and enjoyable as possible for a user to convert.

Why Your E-commerce Can’t Afford to Ignore CRO

In a competitive market, driving traffic is expensive. Whether you’re investing in SEA, social media, or content marketing, every visitor comes at a cost. CRO is what ensures that investment isn’t wasted.

Think of it this way: if your website converts at 1% and you get 1,000 visitors, you get 10 sales. If you can achieve a conversion uplift to 2% through a smart CRO strategy, you’ve just doubled your sales to 20 from the exact same amount of traffic.

This is the power of optimization. It’s about squeezing more value from the traffic you already have, leading to:

• Higher ROI: Get more revenue from your existing marketing spend.
• Better Customer Insights: Learn what your customers actually want and need.
• Enhanced User Experience: A happy user is more likely to return and become a loyal customer.

The Pillars of a Powerful CRO Strategy

A successful CRO process isn’t random; it’s a continuous cycle built on a solid foundation. This is how a professional strategy works:

1. Analyze & Research: We start with data. Using tools like Google Analytics, heatmaps, and session recordings, we identify where users are dropping off or struggling. This isn’t just about numbers; it’s about understanding the why behind user actions.
2. Hypothesize: Based on the analysis, we form a clear, testable hypothesis. For example: “We believe that by simplifying the checkout form from five steps to three, we will reduce cart abandonment by 15% because it reduces user effort.”
3. Test & Implement: We use A/B testing to compare the original version (Control) against the new version (Variation). This lets data-driven decisions—not opinions—determine the winner. The winning version is then implemented.
4. Learn & Repeat: The process never truly ends. Every test provides valuable insights that fuel the next round of optimizations, creating a cycle of continuous improvement and conversion uplift.

CRO: The Engine That Powers Your Entire Digital Investment

Here’s the most critical takeaway: CRO maximizes the effectiveness of everything else you do.

You can have the best SEA campaigns in the world, driving thousands of highly qualified users to your site. But if they land on a page that is confusing, slow, or untrustworthy, that ad spend is effectively wasted. A poor user experience is the silent killer of ROI.

A robust CRO strategy works hand-in-hand with your acquisition channels. By constantly enhancing your landing pages and checkout flows, you ensure that the traffic you pay for has the highest possible chance of converting. A small uplift in your site’s performance can be the difference between a break-even campaign and a highly profitable one.

Conclusion: Stop Filling a Leaky Bucket

In summary, CRO is far more than a technical tactic; it is the strategic heart of digital success. It’s the disciplined process of understanding your users, enhancing their journey, and ensuring every euro you invest in marketing delivers the maximum possible return.

At Making Science, we see CRO as the essential bridge between attracting an audience and growing a business. Ignoring it is like trying to fill a leaky bucket—you can keep pouring more water in, but you’ll never get full.

What’s the biggest friction point you’ve noticed on your own e-commerce site? Share your thoughts in the comments below!

Stop filling the leaky bucket. Start plugging the holes with a solid CRO strategy and watch your business thrive.