6 marketing and sales trends of 2026 you still have time to execute

We are in the home stretch of 2026, and the good news is that the trends that matter most for marketing and sales this year do not require turning the operation upside down. They require focus. We have gathered six movements that still fit in what is left of the year, with what each one asks for in practice and what they all have in common: none of them works well without your marketing and sales data organized. That is the thread that connects the whole list.

A caveat before starting. This is not a roundup of everything that showed up in trend reports. It is a selection of what you can start now and harvest results from while still in 2026, without a year-long project.

1. Uniting marketing and sales around revenue (RevOps)

Splitting marketing and sales into two teams with their own goals has become the costliest bottleneck in many operations. Marketing delivers leads, sales says they are no good, and nobody cross-checks the two sides to find out who was right. RevOps, or Revenue Operations, is the movement of treating revenue as a single flow, from the first click to the sale, with both teams looking at the same numbers.

Why there is still time: you do not need to create a new role or restructure the company. You can start by agreeing on what defines a lead ready for sales and by measuring conversion by stage together with sales. According to a Gartner projection, 75% of the world's fastest-growing companies would adopt a RevOps model by 2025, so this is already the standard for those who grow. The prerequisite is having both teams' data in the same place; without that, alignment goes no further than the meeting. If you want to go deeper, we wrote about it in RevOps: the end of friction between marketing and sales.

2. Showing up in AI answers (GEO)

People have changed how they search. Instead of scrolling through ten blue links, a growing share of them ask ChatGPT, Gemini or Perplexity directly and receive a ready-made answer, with few sources cited. GEO (Generative Engine Optimization) is the discipline of making your brand one of those sources. According to Gartner, search volume on traditional engines should fall about 25% by the end of 2026 because of AI assistants, so anyone who does not show up in those answers loses a real slice of discovery.

Why there is still time: GEO does not ask you to throw out what already works in SEO. It extends the logic to what AI values when citing a source: precise data, direct answers and clear structure. Content that answers the question right at the start, with numbers that have a source, is more likely to be referenced. And here the thread of the list appears: to publish citable data about your operation, you need that data organized and reliable first.

3. Treating first-party data as a strategic asset

The end of third-party cookies and the advance of LGPD (Brazil's General Data Protection Law) have changed where the advantage comes from. Brands that have built their own databases, with email, WhatsApp and CRM, come out ahead, because they stop depending on external tracking that is disappearing. This first-party data is what supports segmentation, personalization and measurement from here on.

Why there is still time: you probably already collect this data today, scattered across forms, CRM and email tool. The work is not to start collecting from scratch, it is to unify what already exists in a single base, with each person identified only once. Those who do this end up with an asset that competitors who depended on cookies no longer have.

4. Putting AI agents to work on your data

The use of AI in day-to-day marketing and sales is no longer about asking for ready-made text. The 2026 movement is connecting AI agents to the operation's own data, so they answer business questions with the company's real context: which campaign brought in customers, which leads are ready, what changed this week. That way the agent stops giving generic answers and starts analyzing your reality.

Why there is still time: the tools for this already exist and the barrier is not technological. The warning comes from a data point that sums up the moment well: most small and medium-sized companies have already adopted some AI, but only a minority have the right data infrastructure to extract real value from it. Without organized data, the agent answers beautifully about an operation it does not know. With organized data, it becomes an analyst. The prerequisite, again, is the base.

5. Gaining funnel efficiency instead of buying more traffic

Media costs have gone up, targeting has become more restricted and the pressure for return has increased. Buying more traffic has stopped being the automatic answer for growing. The 2026 trend is to extract more from those who already enter the funnel: understanding which channel brings in real customers, where leads get stuck and where to send the next dollar of media. RD Station's Marketing and Sales Overviews show the size of the problem: 71% of companies did not hit their marketing goals in 2024, even with more technology and more channels available.

Why there is still time: this turn is about analysis, not budget. It starts when you can see the acquisition cost by channel and the lead's journey from click to sale in one place. From there, reallocating budget to what converts is a decision of days, not of a quarter. Without organized attribution, however, you keep optimizing for the number of leads, not the number of customers.

6. Reading buying signals in the lead's behavior

The last trend is about timing. A lead's behavior in your own funnel says a lot about buying readiness before any contact: who visited the pricing page, came back to the site twice in the week, opened the latest emails. Reading these signals lets sales approach those who are ready and nurture those who are not yet, instead of treating everyone the same.

Why there is still time: you do not need intent data bought from third parties. The most reliable signal is behavior in your own operation, and it is already being generated with every visit and every email opened. What is missing, in most cases, is gathering that behavior into a timeline per person, with identity resolved so that the same lead does not show up as three. Once that is done, the sales team starts acting at the right time.

What they all have in common

Notice the pattern. GEO needs citable, reliable data. First-party data needs an organized base of your own. The AI agent needs data infrastructure. Funnel efficiency needs attribution. Buying signals need tracking with resolved identity. And RevOps needs both teams looking at the same number.

None of these trends runs well on scattered data. The common base is always the same: marketing and sales data that is organized, unified and reliable. That is why “organize your data” has stopped being generic advice and become the practical prerequisite for almost everything coming next. Those who organize the base first execute the six trends faster, because they stop running into the lack of data on every attempt.

This is exactly the base that Laiki delivers. The data model is born designed for the marketing and sales funnel, unifies the sources you already use and resolves the identity of each lead, so your operation has the foundation these trends demand. With the data in place, executing what 2026 asks for becomes a matter of focus, not of infrastructure. Discover Laiki and start with the base.

Frequently asked questions about marketing and sales trends in 2026

What are the main marketing and sales trends for 2026?
Among the most relevant and still executable are uniting marketing and sales around revenue (RevOps), optimizing for generative AI search (GEO), using first-party data, AI agents connected to the operation's data, the pursuit of funnel efficiency instead of more traffic, and reading buying signals in the lead's behavior.

Is there still time to apply these trends in 2026?
Yes. Most of them are about analysis and organization, not large projects. They start with the data the operation already generates, as long as it is unified and reliable.

What do these trends have in common?
All of them depend on an organized marketing and sales database. Without unified and reliable data, GEO, personalization, AI agents, attribution and signal reading deliver less than they promise.

Where to start?
With the database. Unify the sources you already use in one place, with each person identified once, and then choose the trend that solves your most urgent pain.