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But by 2025, that approach feels outdated.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?

The search scenery is evolving. We’re witnessing a shift from simple keyword matching to complex interpretations of user intent. Thanks to advances in natural language processing and generative AI such as ChatGPT or AI Mode, search engines are no longer just answering queries. They’re starting to engage in conversations with the users.

This evolution is reshaping how people interact with search engines and, as a result, what SEO means today. Instead of focusing only on keyword placement, we must now understand context, nuance, and user expectations. SEO has become less about visibility and rankings and more about relevance within AI-driven answers.

Generative AI in action: generated content, instant answers & brand visibility

Generative AI is revolutionizing the way companies approach content creation. Brands can now produce SEO-friendly content at scale, brainstorm topics quickly, and streamline their editorial processes. AI tools enable marketers to respond faster to trends and user questions.

On the other side, search engines are leveraging AI to provide instant answers directly within the search results without the need for users to click, altering the value of traditional content placement.

Now, the strategic goal is not just ranking, it’s getting your brand cited as a trustworthy source within those AI-generated responses. Visibility in this new environment requires a deep understanding of how AI interprets and works through information.

Does Google penalize AI-generated content?

One of the most common myths today is that Google penalizes content created with AI. This is not true. What Google penalizes is low-quality, unoriginal, or unhelpful content, regardless of how it was produced.

The foundation remains the E-E-A-T principle: experience, expertise, authoritativeness, and trustworthiness. AI can help scale content, but human review and editing are very important to ensure that the output meets quality standards.

We should think of AI as our first draft assistant, not the final editor.

How keyword research is evolving with AI

Traditional keyword research focused on finding exact-match phrases and long-tail variations, but with AI, we can do better. AI tools now can identify emerging trends, related questions, and semantic clusters that reflect how people actually speak and search.

The new approach changes from asking, “Which keyword should I use?” to “How can I completely cover a user’s intent?” By combining AI-driven insights with real search data, marketers can discover opportunities based on actual conversations rather than isolated keywords.

What do we do in Making Science to appear in conversational search

Appearing in traditional featured snippets is one thing, but getting your content referenced in generative AI answers requires a more refined strategy. Here are some best, tested practices we follow to boost your visibility:

• Answer clear, specific questions within the first few paragraphs.
• Use natural, conversational language. Avoid jargon if possible.
• Implement structured data.
• Build topical authority by covering topics from multiple angles (topical clusters).
• Optimize brand-entity associations by consistently linking your brand to specific themes.

The goal is no longer just to “rank #1,” but to be seen as a credible source by AI systems interpreting search queries.

Key takeaways

• AI is transforming every phase of SEO, from research to content, to the search results themselves.
• Content is still the king, but it must be genuinely useful, accurate, and crafted for real human intent.
• Brands that blend AI tools with strategic thinking and human creativity will gain a significant edge in the evolving search landscape.

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.

Have you ever wondered what we need to get the most out of CM360’s capabilities? In this post, we are going to tell you, step by step, why the CM360 optimization journey is long but exciting and what benefits you will get when you know the tool well.

Introduction

In a constantly evolving advertising environment, the question is simple: How to leverage CM360 to achieve more effective digital campaigns? This post will serve as a guide to understand where we are, what we have left to cover, and why it is key to your digital marketing strategy.

What is CM360?

Campaign Manager 360 (CM360) is Google’s platform designed to plan, manage, and measure digital campaigns globally.

Who uses it?

Agencies, advertisers, and marketers who seek to centralize their reporting and obtain unified data.

Why is it relevant now?

The evolution of the cookieless environment and new attribution models force us to rethink what to do and when to maintain advertising effectiveness.

How do we achieve it?

By analyzing what technical and strategic improvements to implement in CM360 to gain time, agility, and precision in decision-making.

Key fact: According to recent studies, companies that master CM360 increase their campaign ROI by 15% to 20%. Ready to discover where to start?

What’s happening today with CM360?
Currently, CM360 is the standard for managing large-scale digital campaigns. However, there is still much room to take advantage of it, especially when we talk about:

• Integration with other tools in the Google stack (such as GA4, DV360, Google Ads, The Trade Desk, Netflix, or Adobe Gen Studio).

• Improvements in advanced reporting to better understand the path to conversion.

• Management of floodlights and audiences that respond to new data-driven models.

The key is knowing where to focus.

What do we have left to cover?

Optimization of the initial setup

Dedicating time to a well-defined structure saves headaches later.
→ Did you know that a clear taxonomy in CM360 reduces errors by 30%?

Reporting automation

A well-configured dashboard saves your team hours and gives you real-time insights.
→ Includes reports like Path to Conversion, Time Lag, or Conversion Funnels.

Implementation of cookieless strategies

With the disappearance of cookies, measurement and activation must adapt. This is where CM360 along with GA4 offers you precise data.

(This is just a visual reference of the type of dashboard you can implement)

Why is it important to keep improving in CM360?

If you want your campaigns to be more effective and your strategy to be more agile, continuing to evolve in CM360 is essential. Every small change directly impacts your ROI and, above all, gives you greater control and transparency over your advertising investment.

Think of CM360 as a treasure map: if you know how to read it well, it leads you directly to the data that will help you grow.

Conclusion: Move forward with a steady pace

In short, there is still much to cover in the world of CM360, but every step you take is an opportunity to optimize results, better understand your audience, and make your advertising investment smarter.

Do you want us to help you get the most out of the tool? Share this post with your team or leave us a comment with your questions! As someone wise said: “It’s not just the destination, it’s the journey.” 🚀

Every day, thousands of brands appear on our screens. Some stay for a second ⏱️. Others stick in our minds 🤔. Very few become part of the conversation 💬.

The difference is not just how much they invest, but how they collaborate with creators within an ecosystem that is cultural, mobile, emotional, and fragmented.

Influencer marketing, when integrated with vision, can be a strategic lever at all phases of the funnel: from generating awareness in the top-funnel with content that travels naturally, to activating consideration in the mid-funnel through credible profiles ✨, or driving performance through paid media formats and well-defined attribution models 📈.

For it to work, it’s not enough to be everywhere. It’s about knowing how to collaborate with the right profiles, respecting their codes, their community, and their value at each stage of the consumer journey.

Each platform presents a distinct set of opportunities. We don’t intend to cover everything, but rather to offer a strategic vision of how to activate with purpose and direction 🧭.

TikTok: Shared Culture and Amplified Visibility 🎶

TikTok moves fast and operates primarily at the top-funnel, generating discovery and interest through cultural participation.

But for content to connect, it must feel authentic ✅. Here, working with creators implies co-creating ideas that adapt to their language and community, rather than simply transferring a prefabricated message 🗣️.

Furthermore, the use of paid media on TikTok is key to scaling content that works. Promoting organic creator pieces allows for maintaining the influencer’s voice, while amplifying its impact with advanced segmentation and performance objectives.

Brands that understand this don’t just create viral hits. They turn visibility into conversation and brand recall 🧠.

Instagram: Building Affinity with Measurable Impact 📸

Instagram remains a central platform for developing brand consideration and fostering a constant connection with the audience. Reels, Stories, and carousel collaborations allow for a continuous, visual, and emotional narrative.

Organic content is only part of the game. Today, many brands are finding in Creator Ads an effective way to amplify collaborations with creators: content created by influencers, promoted from their profile but with media control from the advertiser. This approach combines the best of two worlds: the credibility of the creator and the targeting and optimization capabilities of paid media 🎯.

On Instagram, influencer marketing can generate both branding and performance, when planned as part of a complete system 🌐.

YouTube: Deep Influence that Informs and Converts💡

YouTube is the ideal platform for working the mid-funnel and the lower-funnel, thanks to its capacity to generate trust and deepen the message 🧐.

Here, creators have space to explain, show, compare, and validate. And that generates a type of connection that goes beyond superficial recommendations.

Additionally, YouTube offers paid media formats that allow for activating creator content as part of performance campaigns 📈.

From personalized video sequences to retargeting based on visualisations, the collaboration doesn’t end when it’s published: it’s amplified when integrated with strategy.

Well-planned, content with creators on YouTube can be both an inspiration tool and a decision-making tool, depending on the format and the moment in the funnel.

Twitch: Creating Moments that Build Loyalty 🎮

Twitch offers a different dimension of audience connection: based on shared time and an active community.

It is a loyalty channel, where brands can connect with highly engaged audiences, in participatory and authentic environments.

Here, the creator is not just a broadcaster: they are an host 🎙️. Brands that understand this collaborate from within, designing activations where the presence feels organic and meaningful.

And although Twitch is essentially organic, its effect can extend by using clips and summaries in cross-channel paid media campaigns, or amplifying key moments in networks like YouTube Shorts or Instagram Reels.

What’s important is not just the live stream. It’s how it converts into useful content beyond the broadcast💡.

X (formerly Twitter): Positioning and Amplifying Narrative 🗣️

X continues to be a relevant space for brands that want to participate in the public discourse and reinforce their positioning.

Here, the value of creators lies in their ability to influence key topics, with a recognized voice and an attentive audience 👀.

Organic content can have great contextual impact, but it can also be activated as part of paid strategies, amplifying threads, collaborations, or messages aligned with cultural moments or specific junctures.

In many cases, influencer marketing on X is boosted when it aligns with causes, values, or relevant positions, especially if the goal is to participate in cultural or social conversations 🌍.

Ready to take the next step in your influencer marketing strategy?🚀

Each platform brings something distinct. Each creator has their way of influencing. But all collaborations must answer the same question:

What does this bring to my brand and business strategy? 🤔💡

At Making Science, we have been helping brands evolve in this terrain for years. We design influencer marketing strategies that integrate content, media, and measurement within the digital ecosystem, always with a business focus.

If your brand is ready to move from content to impact, and from punctual impulse to sustained strategy, let’s talk!📧

There’s a question that marketing teams are asking more and more often—and it’s not “Should we do influencer marketing?” It’s: How can we integrate it better? 🤔

Because it’s no longer about one-off campaigns or scattered creative collaborations throughout the year. Influencer marketing has earned its place—not as an add-on, but as a strategic growth channel that drives results on multiple fronts: attention, affinity, conversion, community, content, and insights. 📈

The difference now isn’t whether you’re doing it. It’s where you place it within your brand and business architecture. 🧠

And that requires a shift in perspective, from viewing influencers as occasional activations to understanding their cross-functional role within the brand ecosystem.

We’ve identified four key principles that are making a difference in the strategies that actually work. They’re not magic formulas, but they do define how leading brands are integrating this channel with clarity and vision. 🚀

When Content Connects, Business Grows

Leading brands don’t see creator content as a tactical boost or a nice-to-have inspirational touch. They integrate it as a core part of their communication, distribution, and audience relationship systems. Because they’ve grasped something essential: content with credibility moves people more than any brand promise can.

When a brand expresses itself through people with cultural authority, it’s not just seen. It’s felt. And what is felt is remembered. Shared. Bought. Defended.

We’re not talking about a trend or a new performance channel. We’re talking about a sharper, more genuine way to connect with people—where attention is no longer bought, but earned. And it’s earned with content that delivers value, reflects values, triggers emotion, and builds conversation. 💬

According to the 2025 Social Media Study by IAB Spain, 48% of users say they check social media before making a purchase, and 44% state that their final decision was influenced by the content they saw there. This percentage rises to 66% among Generation Z. This shows that when content truly connects with the audience, it directly impacts buying behavior. 📱🛍️

A Living Network of Influence—Not Just a Collection of Collaborations

The strongest strategies aren’t measured by the number of posts or the variety of profiles in a spreadsheet. They’re measured by the consistency of the relationship between brand, creator, and audience. 🔁

The value isn’t only in the content that gets published, but in what that content builds over time: narrative, reputation, positioning.

That’s why more brands are thinking in terms of networks of affinity, not “influencer lists.”

They’re not chasing follower counts—they’re seeking alignment. They build long-term relationships with people who share their vision, codes, and style. And that allows them to amplify their message naturally, broadly, and meaningfully across channels. 

The difference between an influencer campaign and an influence strategy is simple: One makes an impact. The other makes an impact and sustains it.

According to CreatorIQ’s 2024 Benchmark Report, brands that foster long-term partnerships with creators see up to 38% higher engagement rates compared to one-off collaborations.

Influencer Marketing Is Not Just Communication—It’s Brand Intelligence

One of the greatest strengths of creator content is that it doesn’t just create impact. It reflects, informs and measures. Every piece of content, every reaction, every comment… is a live source of cultural data. 📡

It tells us how your audience speaks. What moves them. What they share. What they question. What they reject.

That’s why a well-integrated strategy not only drives media or sales KPIs—it also enhances positioning, the funnel, and business insights. The channel works best when it’s not operating in isolation, but when it’s connected to everything else. It’s not just another puzzle piece. It’s the thread that can tie many pieces together—and give them meaning. 

Integration Isn’t Doing More—It’s Making Everything Work Together

Here’s one of the most common mistakes: confusing integration with accumulation. You don’t need more formats, more platforms, more scattered actions. You need your pieces to speak to each other. Influencer marketing should drive business, not just visibility. And your brand should show up where things are happening—not as a spectator, but as a part of the culture. 💡

The value doesn’t lie in “trying new things.” It lies in consolidating learnings, scaling what works, and sharpening what resonates. It’s not about making noise—it’s about having relevant presence. 📍

It’s not about putting your logo in more places, but about placing it in the right contexts, with the right people, in a consistent and coherent way. 

We see this every day. And if you’re reading this, you probably already know that it’s no longer about simply being present… it’s about doing it right.

Because in the end, the difference between just another campaign and a channel that reshapes your brand’s trajectory lies in how you choose to integrate it from now on.

Are you ready to make the leap and take your brand to the next level? 🚀

Landing Page Optimization: The Secret to Boosting Your Paid Media ROI

Are you pouring budget into perfectly set-up paid campaigns… and still not seeing the return you expected? You’re not alone. But here’s the twist: maybe your campaign isn’t the problem—your landing page might be.

In this post, we’ll explore how Landing Page Optimization (LPO) can radically improve your Paid Media performance, help you make the most of your investment, and give you the tools to convince your clients and teams to prioritize it.

Whether you’re part of a Paid Acquisition team, a Making Science account manager, or a client trying to scale smarter, this guide is your shortcut to unlocking greater results—without touching your campaign setup.

Why CRO Is Your Paid Media’s Best Friend

Let’s be clear: Conversion Rate Optimization (CRO) isn’t just a nice-to-have. It’s the missing piece in many Paid Media strategies.

You’re likely optimizing your audiences, bidding strategies, creatives, and platforms… but what happens after someone clicks your ad?

If your landing page fails to convert, even the best campaign won’t deliver. That’s where Landing Page Optimization steps in.

Did you know?
Brands that actively run CRO tests can see up to 30% increase in conversions—without increasing ad spend.

What Is Landing Page Optimization?

Simply put, Landing Page Optimization is the process of improving the elements on your landing pages to encourage more users to take action—buy, sign up, request a demo… you name it.

It involves:

• Aligning messaging with your ad copy
• Improving page speed and UX
• A/B testing layouts and CTAs
• Removing friction and distractions

When done right, LPO doesn’t just improve conversions—it maximizes your ROAS (Return On Ad Spend) and makes every click count.

When Should You Prioritize LPO?

Let’s say your:

• CTR is strong ✅
• Campaign setup is solid ✅
• CPC is competitive ✅
• But ROAS is down ❌

That’s your cue.

If you’ve optimized your campaigns and you’re still not hitting targets, it’s time to look at your landing pages.

We often see Paid Media teams focus heavily on traffic—but forget that the true goal is conversion.

How to Sell LPO to Clients and Internal Teams

Here’s how you can pitch Landing Page Optimization with confidence:

1. Speak in ROI:
   Explain how LPO gets more value from the same budget.
2. Share quick wins:
   Clients love tangible results. Show A/B test examples with before/after metrics.
3. Highlight the opportunity cost:
   A weak landing page wastes media spend. It’s like sending traffic into a leaky funnel.
4. Align with business goals:
   Talk about revenue, leads, and growth—not just clicks or impressions.

💡 Pro tip: Ask the client, “What if we could increase your conversions by 15% without increasing your media budget?” That’s the LPO effect.

Real Impact, Real Fast

Unlike some long-term strategies, Landing Page Optimization can bring fast, measurable improvements.

Run a test. Get the data. Optimize. Repeat.

💥 Example: One Making Science client saw a 27% lift in lead volume after 3 weeks of LPO testing—with no increase in ad spend.

Conclusion: Don’t Let a Perfect Campaign Fall Flat

Landing Page Optimization is often the unsung hero of Paid Media success. When campaign setups are already tight, this is where real growth happens.

So next time your ROAS drops despite strong performance metrics, don’t panic. Think landing pages. Think CRO. Think opportunity.

Want to keep your media spend from going down the drain?
Start optimizing where it truly counts—after the click.

👉 Got a landing page in mind? Let’s test it. Let’s improve it. Let’s boost your Paid Media performance—together.

Still sending traffic to the same old page?
You might be paying for visits, not conversions. Let’s change that.

💬 Have questions or success stories? Drop them in the comments—we’d love to hear from you.

Are you tapping into the full potential of your digital data or just scratching the surface? Google Analytics 4 is here to change the rules of the game… but only if you know how to play.

📍 Introduction

Since its launch, Google Analytics 4 (GA4) has positioned itself as the new standard in digital analytics. But what makes it so special? And why are so many companies looking for Data Analyst profiles specialized in GA4?

In this post, we explore what GA4 is, why it has replaced Universal Analytics, what this change implies for your company, and how an analyst can turn data into real growth. If you manage digital channels, ecommerce, paid media or UX, then read on.

💡 Fun fact: according to Google, more than 50% of companies that have migrated to GA4 are still not properly exploiting their data due to a lack of analysts or advanced configuration.

🎯 What makes GA4 different?

1. It measures people, not just sessions

GA4 focuses on the user, not on visits. This allows you to analyze the real journey of your customers across channels, devices and platforms.

It no longer matters how many users visited your site, but who they are and what they do.

2. Personalized events: you decide what matters

No more measuring only page views. In GA4 you can track specific interactions: clicks, forms, scrolls, downloads etc. And the best part: everything is flexible, without depending on your IT team at every step.

3. Predictive models within everyone’s reach

GA4 gives you predictions such as conversion or abandonment probability, so you can prioritize actions based on data, not assumptions.

🧠 What if you knew which users are about to stop shopping… before they do?

4. Goodbye cookies, hello privacy

GA4 complies with regulations such as GDPR and adapts without cookies, which is key if your company wants to continue to scale without penalties.

👨‍💻 Why do you need a Data Analyst with GA4 experience?

It is simple: because having data is not the same as understanding it. Let alone acting on it.

✔️ An analyst turns data into decisions

• Configures relevant events and conversions
• Detects opportunities and problems before anyone else
• Relates data to business: sales, leads, profitability

✔️ Able to design useful dashboards for each team

A good analyst doesn’t just extract data, he translates it for Marketing, Product or C-Level. The result? Aligned teams and faster decisions.

✔️ Automate, predict and scale

With GA4 and BigQuery, your Data Analyst can build attribution models, automated reports, or identify hidden patterns that make (or lose) you money.

📌 Raw data is just noise. Advanced analytics turns it into music for your business.

🔚 Conclusion 

Google Analytics 4 has redefined how we measure and understand the digital experience.
However, to take advantage of its full potential, you need a Data Analyst who knows how to extract it, customize it and align it with your business strategy.

At Making Science, we help companies like yours turn analytics into impact. If you’re ready to transform your data into decisions, it’s time to take the next step.

🎯 Do you already have the person to turn your GA4 into a growth engine?

Did you find this article useful?
Share it, leave us a comment, or message us to show you how we work with advanced analytics at Making Science!

Because data doesn’t change your business. The decisions you make with it do.

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

As we approach 2025, technology leaders face a pivotal moment. The convergence of AI autonomy, quantum advancements, and human-machine collaboration isn’t just reshaping technology – it’s fundamentally transforming how businesses create and capture value. Drawing from extensive Gartner and IDC research, we explore how forward-thinking CIOs and technology leaders will navigate this new landscape.

The stakes have never been higher. With 50% of G1000 organizations facing divergent regulatory changes by 2025 and 85% implementing formal AI governance policies, technology leaders must balance innovation with responsibility. This isn’t just about adopting new technologies – it’s about architecting the future of business itself.

The New AI Paradigm

The landscape of AI is rapidly evolving, with Generative AI emerging as a powerful force. This transformative technology is not only automating tasks but also creating entirely new products, services, and business models. As Conversational AI continues to advance, organizations are increasingly leveraging AI to drive innovation, optimize operations, and enhance customer experiences.

According to recent research from Google Cloud, early adopters are seeing significant benefits, including:

• Productivity Boost: A 45% increase in productivity.
• Enhanced User Experience: An 85% improvement in user engagement.
• Strengthened Security: A 56% fortification of security posture.
• Revenue Growth: An 86% increase in revenue.

To fully realize the potential of AI, organizations must adopt a strategic approach. This includes:

• Ethical AI Governance: Establishing guidelines to ensure responsible AI development and deployment.
• Quantum Readiness: Preparing for the quantum computing era by implementing quantum-resistant cryptographic algorithms.
• Human-AI Collaboration: Leveraging AI to augment human capabilities and drive innovation.

Generative AI represents a fundamental shift in how organizations approach automation and decision-making. Autonomous agents capable of planning, adapting, and executing complex strategies independently will handle 15% of daily business decisions by 2028, necessitating both vision and careful governance.

The research reveals that organizations must formalize policies and oversight to address AI risks, including ethical considerations, brand protection, and personal information security. By 2025, 85% of organizations will align AI governance with strategic business objectives, making it a cornerstone of digital transformation.

By embracing these principles and recognizing the transformative potential of Generative AI, organizations can navigate the complexities of the AI landscape and emerge as leaders in the digital age.

Key Security Trends

Two critical security trends are emerging:

• Quantum-Ready Infrastructure: By 2027, only 50% of organizations will effectively leverage AI for incident detection and resolution. Organizations must begin transitioning to quantum-resistant algorithms now, following a structured approach from evaluation to implementation.
• Defense Against Disinformation: By 2028, 50% of companies will invest in specialized security capabilities to combat disinformation, up from just 5% in 2024. This investment reflects the growing recognition that reputation and trust are as crucial as data protection in an AI-driven world.

The Evolution of Computing

The future of computing is neither purely cloud-based nor exclusively on-premises—it is intelligent hybrid computing. This new paradigm combines:

• Energy-Efficient Computing: As AI workloads intensify, sustainability becomes a board-level priority. New computing architectures promise substantial efficiency gains while meeting environmental responsibilities.

• Ambient Invisible Intelligence: Through 2028, the proliferation of low-cost sensors and IoT devices will focus on practical applications: reducing costs, improving efficiency, and enabling real-time decision-making.

• Hybrid Architectures: Organizations must balance security with innovation, combining on-premises control with cloud scalability to optimize performance and compliance.

Human-Machine Collaboration

Perhaps most transformative is the evolution of how humans and machines work together. By 2030, 80% of humans will regularly interact with smart robots, while spatial computing creates new paradigms for collaboration and creativity.

Research predicts that by 2028, 80% of G1000 CIOs will be recruited externally, highlighting the need for leaders who can orchestrate this human-machine synergy effectively. Success will require:

• Expertise in digital innovation
• Strategic leadership capabilities
• Industry versatility
• Change management proficiency

Strategic Implications

For technology leaders, these trends converge to create both opportunities and imperatives. Success in 2025 and beyond will require:

• A balanced approach to AI autonomy and governance
• Proactive preparation for quantum security threats
• Strategic investment in sustainable computing infrastructure
• Thoughtful orchestration of human-machine collaboration

Another report predicts that by 2028, 50% of organizations will adopt cutting-edge tools to address the digital and AI skills gap, reducing dependence on specialized talent while enhancing workforce capabilities for innovation.

Conclusion

The technology landscape of 2025 demands more than technical expertise: it requires strategic vision and deep business insight. Leaders who can interpret these converging trends and focus on value creation will define the next era of digital transformation.

The future is arriving faster than we think. Is your organization ready for these transformative changes? At Making Science, we understand the implications of these trends and know how to help organizations manage change effectively. Get in touch with our experts to explore how these trends align with your business strategy and prepare for the changes ahead.