AdTech emerges as the invisible engine driving ad campaigns at supersonic speeds, fusing data, artificial intelligence and immersive realities to connect brands with audiences in ways that yesterday seemed like science fiction. Imagine an ad that not only follows you around the web, but anticipates your desires, adapts to your mood in real time and immerses you in personalized virtual experiences. This is not a futuristic dream; it is the reality of revolutionary advertising solutions in AdTech, where innovation is not a luxury, but a necessity to survive in a saturated market. AdTech advertising For technology marketers, understanding these tools not only means optimizing ROI, but reinventing how brands tell their stories. This article unravels the world of AdTech, focusing on ultra-tech advertising solutions that are transforming entire industries. If you’re looking to elevate your marketing strategy, get ready for a journey through the frontier of intelligent advertising. AdTech isn’t just about clicks; it’s about human connections powered by algorithms. These revolutionary advertising solutions go beyond basic retargeting; they incorporate machine learning to predict behaviors, blockchain for transaction transparency and even neuromarketing to measure emotional responses. Throughout this post, I will not only describe these innovations, but I will share real anecdotes and actionable strategies for you to implement AdTech into your tech marketing arsenal. The future of advertising doesn’t wait; it’s being built with these tools that are redefining the landscape. AI and Programmatic Hyperpersonalization in AdTech AdTech beats to the rhythm of artificial intelligence, and hyper-personalization in programmatic advertising is its most powerful heartbeat. This technology enables real-time ad buying and placement, but what makes it revolutionary is its ability to tailor each impression to a specific individual, using behavioral, demographic and contextual data. Platforms like The Trade Desk or Google Marketing Platform employ machine learning to analyze millions of signals-from clicks to time on a website-and deliver ads that feel unique. In a campaign I led for a beverage brand, hyper-personalized programmatic adjusted creatives in milliseconds based on the user’s location and preferences, boosting CTR by 38%. Hyperpersonalization goes beyond names in emails; it creates dynamic narratives. Imagine a banner that changes its message if you’re on a beach or in an office, or adapts its tone based on your social media interactions. DSP for data workflow This is achieved through DSPs (Demand-Side Platforms) that integrate first-party data with third-party data, generating 360° profiles in real time. In my experience, brands that respect this line see 30% more loyalty, because users feel value, not surveillance. In addition, AI in programmatic combats ad fraud, a chronic pain in the industry. Solutions like DoubleVerify use algorithms to filter out bots, ensuring that every ad reaches humans. In one project, this saved 25% of a campaign’s budget, redirecting funds to hyper-personalized creatives. Programmatic doesn’t just optimize; it transforms advertising into an intimate dialogue, making every interaction count. Omnichannel integration: Unify web, mobile and network data for consistency. Real-time analytics: Process data instantly for relevant ads. Dynamic creative: Adjusts images and text according to user context. Anti-fraud AI: Detects invalid views, maximizing ROI. Blockchain, transparency in advertising In the opaque maze of traditional advertising, blockchain emerges as a beacon of clarity in AdTech, offering advertising solutions that guarantee traceability from click to conversion. This decentralized technology records every interaction in an immutable ledger, eliminating dubious intermediaries and ensuring that advertisers pay only for genuine impacts. Platforms like Brave Browser integrate blockchain to reward users with tokens for viewing ads, creating an ecosystem where privacy is sacred and engagement is voluntary. I remember a campaign for a fintech where we used blockchain in AdTech: every ad transaction was auditable, reducing disputes and increasing stakeholder trust by 50%. The innovation here lies in smart contracts, which automate payments based on verified metrics. Imagine a contract that releases funds only if an ad reaches a predetermined CTR, all without human intervention. Solutions like IBM Blockchain Advertising take this to scale, integrating with DSPs for seamless flow. Beyond transparency, blockchain enables collaborative advertising models. In metaverses like Decentraland, brands use NFTs for interactive ads, where users own and trade advertising assets. This not only innovates; it transforms advertising into an investable asset, fostering long-term loyalty. In my experience, brands that adopt this see 2x higher engagement, because users feel part of the process, not just recipients. AR and VR: the secret in AdTech solutions AdTech is not limited to flat-panel displays; with AR and VRadvertising solutions become immersive portals that blur the lines between real and virtual. Augmented reality allows ads to be superimposed on the physical world via mobile apps, as when Snapchat lets you try virtual makeup before you buy. This revolutionary innovation boosts engagement by making advertising interactive and fun. In a collaboration with a car brand, we used AR in AdTech to let users “drive” virtual models in their garages: conversions went up 60%, proving that immersion sells. VR takes this to the extreme, creating entire worlds where brands build advertising experiences. Platforms like Meta Horizons enable ads in 3D environments, where users interact with products as if they were tangible. These tools not only capture attention; they collect rich data on spatial and emotional preferences. Fusion with AI elevates these realities. Algorithms adjust VR scenarios in real time based on eye reactions, optimizing advertising narratives. At a virtual event I organized, this combo increased retention by 45%, because each experience felt personal. AdTech with AR/VR is not gimmick; it’s the future where advertising is lived, not seen. Big Data and Predictive Analytics at AdTech Big data is the fuel of AdTech, where advertising solutions use predictive analytics to anticipate trends and personalize on a massive scale. Tools like Amazon Advertising process petabytes of data to predict purchases, allowing ads to appear just when the user needs them. In my practice, an online retailer used big data in AdTech to segment audiences by micro-moments, boosting clicks by 30%. The innovation lies in IoT integration: wearable data informs health or location-based
The Omnichannel explosion in 360º Marketing Are you ready?
Imagine a customer who starts their day with a personalized social media post, complements it with a visit to a physical store and culminates it with an online purchase, all frictionless.
Automate your Inbound Marketing: Boost your Leads and Sales
Automation in Inbound Marketing is not about “putting emails on autopilot”, but about orchestrating experiences: capturing, nurturing and activating leads with relevant content, at the right time and through the right channel.
Marketing consulting for SMEs: 12-week roadmap for a winning plan
An SME doesn’t need “more actions”: it needs focus, measurement and pace of execution. This 12-week roadmap is designed to move you, with or without an external consultant, from single initiatives to a growth system with clear objectives, processes, and a metrics dashboard that “speaks the language of the business”: qualified leads, pipeline, CAC and LTV. Below you will find a practical roadmap by weeks, with concrete deliverables, responsibilities, KPIs and recommended tools. The end result: a winning, operational and measurable plan. Before you start: conditions for success 12-week roadmap (by weekly sprints) Week 1 – Kick-off and 360° audit Objective: to understand reality without bias and prioritize.Deliverables: Base KPIs: sessions, organic vs. paid %, conversion rate to lead, CPL, MQLs/month, close rate, CAC and LTV (if available). Tools: GA4, Google Tag Manager, GSC, Bing Webmaster Tools, Looker Studio, Hotjar/Clarity, Ahrefs/Semrush, CRM (HubSpot/Pipedrive), spreadsheets. Week 2 – Measurement and Data Governance Objective: that all key events are always measured the same.Deliverables: KPIs: % of sessions with correct source/medium, event coverage (≥90%), data latency. Week 3 – Strategy: ICP, positioning and value proposition Objective: commercial-marketing alignment to the millimeter.Deliverables: KPIs: message clarity (5-second test), response rate to outbound pilot emails, organic social CTR. Week 4 – Funnel and offer: from interest to conversion Objective: design a complete funnel with offers per stage.Deliverables: KPIs: conversion rate per stage, % of BOFU leads, time to first commercial response. Week 5 – SEO “quick wins” and content plan 90 days Objective: gain organic traction while building thematic authority.Deliverables: KPIs: GSC impressions, organic CTR, average positions per cluster, non-branded organic sessions. Week 6 – CRO and landing pages Objective: traffic converts.Deliverables: KPIs: CVR to lead per page, form abandonment rate, scroll depth, time on page. Tools: VWO/Optimizely, Hotjar, Typeform/HubSpot Forms, reCAPTCHA v3. Week 7 – CRM, automation and scoring Objective: to accelerate the commercial cycle without losing quality.Deliverables: KPIs: time to first contact, SQL qualification rate, pipeline velocity, win rate. Week 8 – Paid media with CAC control Objective: to trigger predictable growth without “burning” budget.Deliverables: KPIs: CTR, CPL, % BOFU, conversion rate to MQL/SQL, marketing CAC. Typical platforms: Google Ads (Search/PMAX/YouTube), Meta Ads, LinkedIn Ads (B2B), TikTok Ads (B2C). Week 9 – Email and lifecycle marketing Objective: monetize the database without depending on paid.Deliverables: KPIs: open rate, CTR, MQLs generated from email, attributed revenue. Week 10 – Social, community and influence Objective: build social proof and latent demand.Deliverables: KPIs: useful reach (not vanity), clicks to site, attributed leads, share of voice (basic). Week 11 – Alliances, PR and referrals Objective: open channels with high ROI.Deliverables: KPIs: partner leads, cost per partner lead, close rate per channel, CAC blended. Week 12 – Closing, report and plan 30/60/90 Objective: to consolidate the system and plan for the next quarter.Deliverables: KPIs: variation in MQLs, SQLs and revenue potential; CAC reduction; cycle time; pipeline coverage. Roadmap summary table Week Key objective Main deliverables KPI guide 1 Diagnosis 360 Audit, RACI CAC/LTV Baselines 2 Measurement GA4 events, UTMs, dashboard Event coverage ≥90%. 3 Strategy ICP, people, messages Initial CTR and feedback 4 Funnel Lead magnet, LPs, retargeting CVR per stage 5 SEO Thematic map, calendar Organic sessions 6 CRO Wireframes, A/B tests CVR to lead ↑ 7 CRM/Auto Pipeline, scoring, nurtures SQL rate, win rate 8 Paid Structure, creativities CPL/CAC controlled 9 Email Onboarding, RFM Revenue by email 10 Social Calendar, advocacy Attributed leads 11 Partners Referrals, co-mkt Partner CPL 12 Closing Report, backlog, 30/60/90 OKR compliance Recommended Stack Tip: Start simple. Connect sources to a single dashboard and eliminate “zombie” tools. Critical KPIs and decision thresholds Campaign Go/No-Go: pause creatives with CPL x2 of target after 3-5k impressions or 100 clicks; double budget on ads exceeding CTR and benchmark CVR. Mistakes that hinder growth The first blockage is usually execution without diagnosis. When an SME jumps straight into campaigns or content without a prior audit, it ends up optimizing in a vacuum: creatives are increased, costs per click are lowered for a few days and, nevertheless, the pipeline does not improve. The antidote is to institute a technical and strategic preflight: before any investment, validate event traceability in GA4, define UTM nomenclature, confirm agreement on definitions between marketing and sales, and document growth hypotheses with explicit prioritization criteria. In practice, this means devoting an entire sprint to measuring, aligning language and agreeing on what constitutes success. The second error appears when data is not consistent. Different sources report incompatible figures; one channel attributes more conversions than actually reached the CRM; the reports do not explain the weekly variation. The solution involves unification of sources and attribution rules understood by all. Centralize the reading in a single dashboard with sessions, leads, MQL, SQL and earned sales; tag campaigns with standardized UTMs; and keep a living metrics dictionary. When someone asks why the CAC changed, the team should be able to answer in two sentences and with evidence. The third toxic pattern is to build whiteboard buyer personas with no real validation. Ideal profiles are written, but nobody talked to customers who bought or prospects who said no. The cure is the voice of the customer with method: short interviews in which you delve into purchase triggers, considered alternatives and frictions on the web or in the commercial process. From these conversations emerge the messages that convert, the objections that need to be pre-resolved in the landings and the type of offer that accelerates the transition from interest to evaluation. The fourth problem is multichannel dispersion. An SME tries to be everywhere and ends up nowhere. To recover, narrow the focus to two growth engines that you can run with cadence: one for existing demand (SEO or paid search with high intent) and one for latent demand (performance social or partnerships). Set decision thresholds per channel: if after a reasonable volume of impressions and clicks the CPL doubles the target, pause and reinvest where there is traction. The fifth pitfall is leakage in the marketing-sales handoff. Leads are captured,
Outdoor advertising and street furniture advertising How to conquer the street?
The street is the biggest “medium” on the planet. It is where things happen, conversations are generated and purchasing decisions are made. Therefore, when we talk about outdoor advertising (OOH) and advertising on street furniture (MUPI, bus shelters, kiosks, columns, clocks, shared bicycles…), we are not just talking about media: we are talking about influencing daily routes, gaining brand recall and activating sales near the point of consumption.
AI Neuromarketing: Real-time Brain Predictions
Imagine for a moment that you are planning an advertising campaign and, before you invest a single dollar, you can predict exactly how your target audience’s brain will react.
How to create successful Shopify online stores like an expert
Today, Shopify has become one of the most widely used e-commerce platforms in the world. Its ease of use, scalability and the wide variety of tools available make both entrepreneurs and large companies bet on this solution to sell online. However, as intuitive as the platform may seem, having a Shopify expert makes a big difference between a basic store and a Shopify online store that is highly optimized to generate sales. The digital ecosystem has changed radically in recent years. Today, competition in e-commerce is not only measured in who offers the best price, but in who manages to generate a memorable shopping experience, with a robust and scalable system behind it. And this is where the Shopify developer comes in: a professional who combines technical knowledge, business acumen and creativity to take a Shopify online store from idea to market consolidation. Shopify as a modern ecommerce infrastructure Shopify is not just a CMS for selling products. It’s a complete e-commerce environment that natively integrates design tools, payment gateways, inventory management, marketing automation and advanced analytics. A Shopify expert understands that this platform acts as the technological backbone of a digital business. That is to say: it is not only the “pretty face” that the customer sees, but also the machinery that supports critical operations such as: For a professional, understanding how Shopify handles these layers is essential, because it’s no use having a beautifully designed store if it’s not ready to support traffic spikes, integrate complex workflows or connect with third-party tools such as ERP, CRM or logistics systems. The DNA of a successful Shopify online store A Shopify expert knows that a store is not only measured by how many products it publishes, but by the quality of its architecture. Let’s look at the essential elements that differentiate a professional Shopifyonline store from an amateur one: Information architecture It is not enough to load products into categories. An expert defines logical navigation structures that guide the user frictionlessly towards conversion. This includes: 2. Design and usability (UX/UI) A Shopify online store must be designed for conversion. This is where usability principles, color psychology, persuasive copywriting and microinteractions come into play. A Shopify power user uses heat map data, scroll analysis and A/B testing to improve every detail of the sales funnel. 3. Performance and speed Shopify is already fast, but a specialist knows how to reduce load times even further: 4. Advanced SEO on Shopify SEO on Shopify requires more than just populating metatags. A professional Shopify professional works with techniques such as: The strategic role of the expert Beyond the technical side, the Shopify expert acts as a digital business consultant. His mission doesn’t end when the store is online; it starts there. Some strategic aspects it handles: Real application examples Imagine an emerging fashion brand. If you open a Shopify store with no experience, you’ll probably have a generic design, short descriptions and no loyalty system. Hopefully you’ll sell a few pieces, but you won’t have the ability to scale. Now, by working with a Shopify expertexpert, the scenario changes: The difference is the same as between having a store in a makeshift market or on a main avenue with a professional storefront. Technical errors that an expert avoids Many Shopify online stores fail not because the product is bad, but because of flaws in technical execution. Here are some mistakes that an expert corrects immediately: A professional anticipates these errors before they become a costly problem. Creativity and differentiation In a saturated market, creativity becomes a differentiating factor. A Shopify expert doesn’t just set up a functional store: he designs immersive experiences. Some of the creative resources used: The store ceases to be a simple digital storefront and becomes a brand ecosystem. The future of Shopify online stores Ecommerce will continue to evolve and Shopify is adapting quickly with trends such as: A Shopify expert not only works in the present, but prepares brands for the future. Setting up a Shopify store is easy. Building a scalable, optimized Shopify online store ready to compete in the digital marketplace is another story. That’s where the true value of a Shopify expert comes in: a strategic ally who understands the technology, masters marketing and has the creativity to differentiate your brand. In the digital world, talent and vision make all the difference. And if you’re looking to take your business to the next level, having an expert is not optional: it’s a must. Jorge AnduixMarketing tecnológico en vena. Fanático de las tecnologías Martech que rompen moldes: IA generativa, blockchain, no-code, metaverso, automatización extrema… Convencido de que el futuro no se espera, se construye (y se vende muy bien). Responsable del marketing más disruptivo y tecnológico. inprofit.eu
Google’s new rules for SEO
Google has changed the rules of SEO: AI, conversational search and UX shape the future. Find out how your agency can adapt and lead.
Market research and trends shaping the direction of online businesses
online businesses face the challenge of adapting to a highly competitive and dynamic market. Market research and trend analysis are fundamental tools for companies to make strategic decisions based on data, optimizing their resources and maximizing their impact. This article explores the importance of market research, key methodologies, emerging trends, and their practical application in defining strategies for online businesses, with a technical approach aimed at specialized departments and companies. The relevance of market research in online business Market research provides a solid foundation for understanding the environment in which an online business operates. These analyses help identify opportunities, mitigate risks and align strategies with consumer expectations. In a digital context, where data is abundant but complex, market research becomes a pillar for: A well-executed market study combines quantitative data (such as web traffic metrics or conversion rates) with qualitative data (such as interviews or surveys) to provide a holistic view. Key methodologies in digital studies Quantitative data analysis Online businesses generate large volumes of data through platforms such as Google Analytics, CRM tools or social media. Key metrics include: These metrics allow you to evaluate campaign performance and adjust strategies in real time. 2. Qualitative analysis Qualitative analysis complements numerical data by exploring consumer motivations and perceptions. Common methods include: 3. Competence Research Tools such as SEMrush, Ahrefs or SimilarWeb allow you to analyze SEO positioning, competitor keywords and traffic sources. This helps to identify effective strategies and areas of opportunity. 4. Surveys and Questionnaires Online surveys, distributed through platforms such as SurveyMonkey or Google Forms, provide direct data on preferences and behaviors. To ensure reliable results, surveys must follow statistical principles, such as the use of representative samples and unbiased questions. 5. Trend analysis Trend analysis involves monitoring emerging patterns in consumer behavior, technologies or markets. Tools such as Google Trends, BuzzSumo or consultancy reports (e.g. Gartner or Forrester) are essential to identify relevant trends. Emerging trends in digital business The digital landscape is shaped by technological advances and changes in consumer behavior. The following highlights the most relevant trends for online businesses: 1. Artificial intelligence and hyper-personalization Artificial intelligence (AI) is transforming the customer experience through personalization at scale. Machine learning algorithms analyze behavioral data to deliver personalized recommendations, optimize dynamic pricing and automate marketing processes. For example, 74% of consumers expect personalized experiences, according to a McKinsey report (2024). 2. Social Commerce and Shoppable Content Social networks such as Instagram, TikTok and X have evolved into e-commerce platforms. Shoppable posts and interactive ads allow users to make purchases without leaving the platform. Sustainability and Transparency Consumers prioritize brands that demonstrate a commitment to sustainability. A Nielsen study indicates that 66% of consumers are willing to pay more for sustainable products. 4. Omnichannel experience Consumers interact with brands through multiple touch points (web, mobile, social media, physical stores). An omnichannel strategy integrates these channels to deliver a cohesive experience. 5. Web3 and Decentralized Technologies The adoption of blockchain technologies and NFTs is growing in sectors such as e-commerce and gaming. These technologies enable business models based on digital ownership and decentralization. Business value generation through market studies Generating business value in online businesses depends on the ability to translate data and trends into strategies that drive sustainable growth, competitive differentiation and customer loyalty. This process requires an integrated approach that combines advanced analytics, strategic alignment and agile execution. Here’s how market research and trends can drive business value across multiple dimensions: Optimization of Return on Investment (ROI) Market research allows companies to allocate resources efficiently by identifying the channels, products or segments with the greatest potential. For example, analyzing web traffic data can reveal that 60% of conversions come from mobile devices, which would justify a greater investment in mobile optimization or native applications. In addition, the use of predictive models based on machine learning can anticipate the performance of advertising campaigns, reducing budget waste in low-impact strategies. 2. Competitive differentiation In a saturated market, differentiation is key to stand out. Market research can identify gaps in competitors’ offerings, such as a lack of sustainable options or poor user experiences. For example, analyzing social media reviews can reveal that consumers value speed of delivery over price, which could lead a company to prioritize logistics as a competitive advantage. 3. Customer Loyalty and Retention Retaining customers is more cost-effective than acquiring new ones, as the CAC is often significantly higher than the cost of keeping an existing customer. Qualitative market research, such as satisfaction surveys, can identify friction points in the customer experience, while behavioral data analysis can detect churn patterns. Trends such as personalization and omnichannel experience are especially effective in improving loyalty. 4. Market Oriented Innovation Market research not only identifies current needs, but also anticipates future demands. For example, the rise of Web3 and decentralized technologies opens up opportunities to create innovative business models, such as loyalty programs based on NFTs or cryptocurrency payments. Companies that adopt these technologies early can position themselves as leaders in their industries. 5. Strategic Risk Mitigation Market data helps companies avoid costly decisions based on assumptions. For example, trend analysis can reveal that an emerging technology, such as augmented reality, does not yet have mass adoption in a target segment, which might discourage premature investment. In addition, continuous trend monitoring allows strategies to be adjusted in response to unexpected changes, such as new regulations or economic downturns. 6. Scalability and sustainable growth Market research provides a roadmap for expansion, whether geographic, demographic or product. For example, Google Trends data analysis can identify regions with increased demand for certain products, while competitor analysis can reveal less saturated markets. This allows companies to scale their operations strategically, minimizing risk and maximizing impact. 7. Alignment with consumer expectations Modern consumers expect seamless, personalized and ethical experiences. Market research enables companies to align their strategies with these expectations, from implementing sustainable practices to improving website usability. For example, heat map analysis can reveal that users are abandoning a site due to a
Social Commerce 3.0 How are social platforms redefining E-commerce?
We are in the midst of the Social Commerce 3.0 boom: social networks have gone from simple storefronts to true integrated shopping platforms. TikTok, Instagram and emerging ones like BeReal and Discord Shops offer seamless shopping experiences without ever leaving the app. For marketers, understanding this evolution is vital: it’s not just about visibility, it’s about optimizing every stage of the funnel, from discovery to checkout. Social Commerce 3.0 In this article we will delve into: We accompany you on an AIDA (Attention-Interest-Desire-Action) journey so that your e-commerce conquers the networks and converts views into sales. 1. Attention: Native Discovery and Visibility The first stage focuses on capturing looks and curiosity within the feed or reels. 1.1 Native and creative content Example: Sustainable fashion brand EcoWear collaborated with micro-influencers on TikTok, generating an unboxing video that included links to their integrated catalog. Result: +40% new followers and +18% CTR to the store. 1.2 Shoppable advertising Case study: A beauty retailer got 22% more clicks on Ads after migrating from generic banners to shoppable ads with product tags in Instagram Stories. Interest: Engagement and consideration Once you have captured the attention, you must deepen the interest and educate the user. 2.1 Educational content and storytelling Example: An electronics brand posted a carousel on Instagram comparing three models of headphones, getting 30% more saves and 12% more clicks to the product. 2.2 Social retargeting and personalized collections Result: A gadget e-commerce reduced its CPA by 25% by implementing dynamic retargeting on Facebook. 3. Desire: Optimization of shoppable content In this phase, your goal is to transform consideration into a desire to buy. 3.1 Shoppable content on video and livestream Success story: SportFit sports accessories brand SportFit achieved 35% more direct sales during a live event on TikTok thanks to flash offers and an exclusive code for the stream. 3.2 Social Proof and product UGC Key Fact: 88% of consumers trust both reviews from other users and personal recommendations. 4. Action: Integrated checkout and conversions The decisive moment is to offer a frictionless purchasing process. 4.1 In-app purchase boxes Benefit: Reduces cart abandonment by eliminating redirects. 4.2 Last mile optimizations Example: A food delivery company integrated a “Recommended for you” in its social checkout, increasing AOV by 14%. 5. Measurement and ROI in Social Commerce Measuring correctly is the key to iterate and scale. 5.1 Essential KPIs 5.2 Recommended tools Tool Function Ideal for Meta Business Attribution and advanced analytics Multichannel tracking TikTok For Business API conversion and custom events In-app measurement Hootsuite Impact ROI in social and assisted attribution Executive reports GA4 Funnel analysis and segmentation Advanced reporting Talkwalker Sentiment analysis and share of voice Brand monitoring 5.3 Dashboards and reporting Social Commerce 3.0 as a competitive advantage Success in e-commerce involves integrating social and commerce natively. Optimizing each phase of the funnel within social platforms, relying on shoppable content and measuring with precision will allow you to convert casual users into loyal customers. Ready to boost your Social Commerce 3.0 strategy? Take advantage of the social platforms revolution and take your e-commerce to the next level. Jorge AnduixMarketing tecnológico en vena. Fanático de las tecnologías Martech que rompen moldes: IA generativa, blockchain, no-code, metaverso, automatización extrema… Convencido de que el futuro no se espera, se construye (y se vende muy bien). Responsable del marketing más disruptivo y tecnológico. inprofit.eu
