GPT-5 is now a reality: more context and advanced automation

OpenAI has officially confirmed that GPT-5 will launch during the summer of 2025. Although no specific date has been announced, multiple leaks and technical signals have started circulating across platforms like GitHub and specialized forums.

What do we know so far about GPT-5?

  • Technical leaks: A file named gpt-5-reasoning-alpha-2025-07-13 has surfaced, suggesting an advanced test version focused on reasoning capabilities.
  • Extended context window: GPT-5 will be able to process more documents, emails, and conversations in parallel, becoming a stronger contextual analysis engine.
  • Advanced multimodality: A seamless integration of text, voice, images, and structured data is expected.
  • Intelligent agents: The system will be designed to execute complex tasks via APIs, navigation, and code generation—bringing us closer to true autonomous agents.

Why does it matter for B2B companies?

The announced capabilities of GPT-5 are a natural evolution for companies already leveraging AI in sales and service contexts:

  1. Advanced automated analysis: generation of reports with actionable insights.

  2. Sales copilots: real-time assistance during negotiations, follow-ups, or campaigns.

  3. Predictive support: automation of not only repetitive tasks, but also strategic ones like advanced segmentation or lead prioritization.

The CRM connection: the key factor

GPT-5 will only be effective in business contexts if it’s properly fed. As we demonstrated in our recent Hike & Foxter webinar, where we taught how to use HubSpot’s Deep Research connector with ChatGPT and Claude, data quality and CRM integration are everything.

One of the prompts we shared was:

“Create a sales report for this year showing the average global ticket size and the average ticket size by sales rep, with their usernames. Once you're done, provide recommendations to increase the average ticket size of my AI consulting services line.”

This kind of analysis is only possible if the data is well structured and properly integrated. If there’s no traceability, AI won’t work miracles. GPT-5 will make it easier, but it won’t fix foundational issues by itself.

How to start preparing for GPT-5

At Hike & Foxter, we suggest three steps for companies that want to be ready for this new generation of AI:

  1. Audit and clean your CRM: make sure key data is normalized, up to date, and well segmented.

  2. Integrate flows with APIs: prepare your stack to work with AI agents that consume and execute data in real time.

  3. Define priority use cases: start with areas where AI can deliver immediate value—like automated reporting, predictive scoring, or sales assistance.

Conclusion

GPT-5 is not just a performance upgrade. It’s a leap toward AI that reasons, acts, and adapts to real business workflows. If your company wants to take advantage, the time to start is now.

At Hike & Foxter, we help clients integrate these technologies into their sales, support, and analytics processes—from data preparation to the deployment of intelligent copilots.

Want access to the webinar prompt guide or updates on upcoming events? Email us at marketing@hikefoxter.com or follow us on Instagram and Linkedin.

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How the end of third-party cookies impacts your marketing strategy

The announcement of the definitive elimination of third-party cookies marks a turning point in the digital ecosystem. This is not just a technical adjustment in browsers: we are talking about a structural change in the way companies collect data, activate advertising campaigns, and manage customer relationships.

And although it may seem like a distant issue or one exclusive to large corporations, the reality is that it affects any business that uses digital advertising, email marketing, retargeting strategies, or affiliate programs.
That’s why understanding its impact and knowing how to prepare is key to staying competitive.

What are third-party cookies and why are they disappearing?

Third-party cookies: the foundation of digital marketing until now

A third-party cookie is a file placed on your browser by a provider other than the website you are visiting.
For example, if you visit a blog that uses Google or Facebook ads, those systems install cookies that track your behavior—even when you browse other sites.

Thanks to those cookies, advertisers could:

  • Follow you throughout your browsing.

  • Show you ads based on your interests and behavior.

  • Measure the impact of their campaigns.

  • Build detailed profiles without requiring you to register or provide data.

In short: third-party cookies were the backbone of programmatic advertising and retargeting.

Why are they being eliminated?

The official reason is user privacy protection.
More and more users demand control over their personal data and how it’s used. Regulations like GDPR in Europe and CCPA in California have forced major players (Google, Apple, Mozilla) to move toward a more privacy-friendly model.

But there is another angle:
Google, owner of Chrome and a leader in digital advertising, is redefining the game to maintain market control and limit competition. By eliminating third-party cookies, Google ensures that only those who manage first-party data or operate within its platforms can effectively reach users.

The three major pillars changing after the elimination of cookies

1. Campaign measurement and attribution

Until now, measuring the impact of a multichannel campaign (ads, email, web visits) relied on attribution models based on cookies.
For example:

If a user saw an ad on Instagram, clicked on a Google ad, and then made a purchase on the website, cookies helped trace that path.

What happens without third-party cookies?

  • Conversions attributed to third parties will decrease.

  • The user journey will be harder to track.

  • “Last-click” or “multi-touch” measurement becomes less reliable.

How to adapt?

  • Prioritize first-party data measurement by connecting your CRM with analytics platforms.

  • Implement solutions like Google Enhanced Conversions or server-side tagging, which allow more accurate measurement without relying on cookies.

  • Explore proprietary attribution models, such as integrating sales or CRM systems with analytics tools.

2. Audience segmentation and activation

The end of retargeting as we knew it.
Without third-party cookies, platforms can no longer create audiences based on behavior across different websites. This directly affects:

  • Programmatic advertising.

  • Dynamic retargeting campaigns.

  • Affiliate campaigns based on cross-site tracking.

How to adapt?

  • Enhance your first-party data: encourage registration, subscriptions, and account creation.

  • Use activation tools like Customer Match (Google Ads) or Audiences (Meta), which let you upload your own data to reach those users on their platforms.

  • Work on lookalike strategies based on your own customer data, not third-party data.

  • Leverage contextual advertising by showing ads related to the content being consumed—without needing to know the user’s identity.

3. First-party data management and value

The direct consequence of this change is that first-party data becomes the most valuable asset of a digital company.
Without the ability to buy audiences based on cookies, you need to build your own database with real, interested users with whom you can maintain a direct relationship.

This means:

  • Developing acquisition strategies based on value: lead magnets, quality content, incentives for registration.

  • Creating automated, personalized communication flows from your CRM.

  • Focusing on the quality of the relationship, not just the quantity of impacts.

How to adapt?

  • Strengthen your lead generation strategies and improve your registration forms.

  • Implement a CDP (Customer Data Platform) if you handle large volumes, or ensure your CRM is well integrated with your marketing platforms.

  • Take care of the user experience to avoid intrusive practices like aggressive pop-ups or forced capture.

What alternatives does the market propose after the elimination of cookies?

  • FLoC and Privacy Sandbox (Google): Google proposes alternative systems based on cohorts, where users are grouped by interests without being individually identified. These proposals still generate debate over their effectiveness and privacy.

  • Data Clean Rooms: Secure environments where data from different parties (advertisers, platforms) can be matched without revealing user identities. Costly but necessary for major advertisers.

  • Contextual advertising: Making a comeback. Showing ads related to the content being visited, with no need to know who the user is.

  • Server-side models: Collecting and activating data from the server side is a technical alternative for measuring and segmenting without relying on traditional cookies.

What should companies do to adapt (and not just survive)?

  • Invest in a data strategy:
    Organize, structure, and connect your databases with your marketing tools.
    First-party data is a strategic asset—not just a list of emails.

  • Train your teams:
    Not just the marketing department. Sales, customer service, IT… everyone needs to understand the value of data and how it’s managed.

  • Strengthen customer trust:
    Transparency and good privacy management will be differentiators. Clearly explaining how you use data builds trust and, in the long term, conversion.

  • Commit to personalized omnichannel experiences:
    The CRM should be the center of a strategy where the user receives coherent impacts across all channels (web, email, app, social).

  • Prepare for new measurement methods:
    Invest in server-side solutions, predictive models, and tools that allow you to measure impact beyond cookies.

Conclusion: Threat or opportunity?

The end of third-party cookies is not the end of advertising or digital marketing.
It is the beginning of a new paradigm where companies that invest in:

  • Building their first-party data.

  • Truly integrating their systems.

  • Personalizing based on a deep understanding of the customer.

… will be the ones to take the biggest slice of the pie.

Because if one thing is clear, it’s that data remains important…
You just have to earn it now.

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