Ringostat

Serpstat Global has published a research-backed analysis of the 5 marketing priorities that will define strategy and budget decisions in 2026 — https://bit.ly/4cWPGox

The findings are based on interviews with CMOs, SEO leads, and founders across industries, combined with broader market trend signals.

Key areas covered:

● AI & Automation — shifting from pilots to operating infrastructure, with governance and measurable RO as the new baseline requirements

● Distribution — building resilient organic + paid engines as discovery fragments across search, AI answers, social, and video

● Conversion Optimization — expanding CRO beyond landing pages to the full customer journey

● Data & Attribution — decision-grade measurement replacing perfect tracking as cookies deprecate

● Community — owned audiences as a long-term trust and distribution asset

The core finding: "effectiveness over volume" is becoming the dominant CFO-level expectation across marketing organizations in 2026.

Relevant for anyone working on strategy, budget planning, or stakeholder reporting this year.

Full research: https://bit.ly/4cWPGox

Artificial Intelligence in sales is no longer about the future, but about those who are winning the competition right now.

The numbers speak for themselves: according to Gartner, sales reps who have “befriended” AI are 3.7 times more likely to meet their quota. And Bain & Company adds: such teams close 30% more deals. 📑✅

As our partner Kateryna Chabanova, CEO and Founder of Raketa Prodazh, accurately put it:

“In sales, AI is not a tool, but rather a language. It is spoken today by the top-performing teams who know how to combine insights from machine analysis with human expertise. They are the ones who will reach a new level where 95% of sales processes start with artificial intelligence. But where data is incomplete or poor quality, where there is no discipline in working with CRM or skills to interpret signals from algorithms, AI does not work.”

‼️Therefore, it is important to understand that simply implementing AI is not enough. The result directly depends on whether you have quality data, whether your sales reps are trained, and whether you understand exactly where the technology generates value.

➡️ In this article, you will learn how to effectively use AI in sales and what challenges you might face during implementation. And also — what trends will define the development of AI in sales in the coming years 👇

AI in Sales: What Really Works and What’s Just Hype Discover how AI in sales helps you win 30+% more deals.