Scalable revenue in B2B: data, AI, and growth strategy

In the dynamic world of technology and B2B marketing, the pursuit of scalability is constant. However, the path to achieving significant results is not linear and requires much more than simply adopting cutting-edge tools. To discuss the real behind-the-scenes aspects of a predictable revenue operation, the podcast Elas em Tech, hosted by Thais Cano (Commercial Planning Director at Skyone), welcomed Carina Lima, a marketing and revenue strategist with over 15 years of experience in the market.

Carina, recognized for leading profound transformations in technology and B2B SaaS companies, shared the strategic framework behind the impressive numbers of her career path: a 164% increase in the value of issued proposals in MRR (Monthly Recurring Revenue), a 124% expansion in monthly earnings, a 120% increase in SQL generation, and a tripling of sales funnel efficiency.

Below, we analyze in detail the analytical premises, the paradigm shift regarding Artificial Intelligence, and the leadership vision discussed in this tech ecosystem.

1. The first step: reliable data and the end of "freestyle"

Many managers, when taking on a new challenge, believe that the main barrier is the lack of data. Carina Lima debunks this myth:

For data to generate actionable intelligence, the alignment of assumptions needs to be meticulous. If the marketing team and the sales team have different definitions of what constitutes an MQL (Marketing Qualified Lead) or an SQL (Sales Qualified Lead), any conversion metric becomes fictitious.

Manual validation before automation

Before designing complex automated workflows, the implemented strategy involved weekly tactical alignment meetings: the marketing and sales teams sat down to analyze, lead by lead, the categorization of ICP (Ideal Customer Profile) as Acceptable or Bad Fit. Only after the practical understanding was perfectly unified between the two areas was the process automated.

This integration reduces the historical cultural conflict between marketing and sales, directing both teams towards the same business goal: revenue and pipeline generation, instead of vanity metrics.

2. The methodology as a boat: unifying the journey with Win-the-Design

The structuring of this acquisition machine found support in the frameworks and content of Win-the-Design (commonly associated with the Bowtie concept for the unified journey of marketing, sales, and Customer Success).

Making processes tangible through a market-tested and validated method replaces so-called "freestyle selling." As highlighted in the discussion, the application of frameworks brings:

• Scale and monitoring: standardization of what to measure at each stage.
• Predictability: understanding that the sales funnel is not strictly linear within the same month. An SQL generated in January reflects the lead generation work built in December; if December is stagnant, the planning for the beginning of the following year will be compromised.
• Science over talent: validation that sales and marketing operate under scientific criteria, data analysis, and predictable processes, and not just based on the raw talent of professionals.

3. Artificial intelligence in B2B: technical productivity vs. building trust

Artificial intelligence has radically transformed the operational efficiency of marketing and revenue, seamlessly integrating into modern ecosystems like Skyone Studio, which combines integration bus (iPaaS), Lakehouse, and intelligent agents to eliminate corporate silos. Carina Lima points out that, at Neoassiste, AI was key to optimizing Target Account Management (ABM) campaigns, cross-referencing public data and correlating CNAE codes to specific segments at a speed that would be humanly impossible.

However, there is a critical limit to technological acceleration: human relationships.

There is market pressure for closing cycles to decrease at the same speed that AI generates a text or proposal. However, in complex technology sales, the time it takes for the relationship to mature and the buyer's confidence in the supplier remain human. AI scales delivery and efficiency, but it doesn't replace the relational bond.

4. Female leadership and the generalist profile in the growth market

The data and growth has historically carried a strong male stereotype. To carve out space and build authority in highly analytical areas, many women have faced the need to create behavioral "armor" in the past to ensure they were heard at decision-making tables.

Today, initiatives like the Women in Growth community are actively working to transform this reality, fostering educational spaces, networking , and mentorship so that female leaders can manage in an authentic, welcoming way, based on technical competence, without needing to replicate rigid models of conduct.

The future belongs to generalist revenue providers

For professionals seeking executive positions in technology, the main piece of advice consolidated in the panel is to transcend the barriers of their traditional specialization. The corporate market has increasingly demanded fewer analysts strictly isolated in their functions (whether performance, CRM, or SDR) and has opened up space for profiles focused on RevOps (Revenue Operations) and generalist business perspectives.

Listen to the full episode

Building a truly predictable revenue stream requires aligning scalable infrastructure, data science, and a deep respect for the timing of human interactions.

Want to check out all the details of this chat, gain access to other practical insights on career transition, sales team management, and growth methodologies? Listen to the full episode of the Elas em Tech podcast directly on Spotify!

Written by Skyone