xGrowth Tech
Marketing & Sales··11 min read

Revenue Funnel: 5 Questions to Integrate Marketing, Sales, Data and AI

With good marketing and sales integration, 40% of companies hit their sales target, against 24% without it. Five questions to review the revenue funnel.

This week, xGrowth put together a checklist of the five questions that best help a company see where its revenue funnel can deliver more. This article is the full version: for each question, what to check, why it matters, the data behind it and a practical first step.

Why marketing and sales still need a single funnel

In most companies, marketing and sales do their own work well. The point of attention is where the two areas meet. Marketing measures leads, sales measures contracts, and the path between one number and the other usually runs through different spreadsheets, different definitions and meetings with no fixed calendar.

The figures from RD Station's Panoramas 2026, which surveyed 3,444 professionals in Brazil, show the size of the opportunity. Only 16% of companies say they have a satisfactory integration between marketing and sales. And integration makes a difference to results: among companies with good integration, 40% hit their sales target; among those that say they do not have it, 24% did.

16 percentage points
Gap between companies with good marketing and sales integration (40% hit their sales target) and those that say they do not have it (24%). Only 16% of companies describe their integration as satisfactory. Survey of 3,444 professionals in Brazil.
Source: RD Station, Panoramas 2026: Marketing and Sales Connection

The good news is that integrating does not require a restructuring. It requires answering a few simple questions honestly. These are the five:

  1. Do marketing and sales have a written agreement on what a qualified lead is?
  2. Is the CRM used every day by both teams?
  3. Is AI already working inside the funnel, in the CRM and in lead qualification?
  4. Is the data organised and connected across systems?
  5. Does everyone follow the same indicators, from first contact to contract?

Each question works as a quick test: if the answer is "yes, and it is documented", that part of the funnel is well on track. If it is "more or less", that is the best place to start.

1. Do marketing and sales have a written agreement on what a qualified lead is?

What to check: whether there is a document, accepted by both areas, that states which criteria turn a contact into a qualified lead (job title, company size, sign of interest) and how quickly it should receive its first contact. This agreement is known as an SLA, short for service level agreement.

Why it matters: without it, each area uses its own yardstick. Marketing hands over what it considers a good lead, sales receives what it considers a cold contact, and the conversation becomes a matter of opinion. Gartner surveyed 243 sales leaders in 2024 and 49% said the sales definition of a qualified lead is very different from marketing's. Forrester recorded, in the second quarter of 2024, that 65% of sales and marketing professionals perceive a lack of alignment between the two areas.

The data: in RD Station's Panoramas 2026, 62% of Brazilian companies have no defined SLA, 20% have one but not everyone on the team knows it, and only 18% have the agreement well defined. The result shows in the target: 39% of companies with an SLA hit their sales target, against 20% of those without one. Those already in the 18% have a clear advantage, and those who are not yet have a gain within reach.

Practical first step: schedule a 60-minute meeting with one person responsible from each area.

  1. List the last five closed customers and note what they had in common when they arrived: job title, size, origin, what they did before asking for contact.
  2. Turn that list into three objective criteria for a qualified lead.
  3. Set the deadline for first contact (for example, within two working hours) and who responds.
  4. Write it all on one page, send it to both teams and schedule a review after 90 days.

A simple agreement known to everyone is worth more than a complete one that nobody opens.

2. Is the CRM used every day by both teams?

What to check: whether sales records every contact, stage and reason for loss in the CRM, and whether marketing can read that history to learn which campaigns generate deals and not just contacts.

Why it matters: the CRM is where the funnel stops being an impression and becomes a record. Having the tool under contract is only the beginning; the gain lies in using it every day, by both teams. When sales updates the CRM, marketing learns which leads turn into contracts. When marketing records the lead's origin and behaviour, sales arrives at the conversation knowing what the lead has already seen.

The data: CRM adoption still has plenty of room to grow. According to Cetic.br (2025), 31% of companies in Brazil use a CRM. In Portugal, Eurostat (2025) reports 21.64%, against 28.51% on average in the European Union. Usage within companies that already have the tool can also improve: in Panoramas 2026, 48% of sales teams say they use leads' history and behaviour when handling opportunities coming from marketing, and 55% of marketing teams follow what happens to leads after they move to sales.

Practical first step: choose three fields that are mandatory on every opportunity: lead origin, current stage and reason for loss (when lost). Agree that if it is not in the CRM, it does not enter the results meeting. Within two weeks the history starts answering questions that used to go unanswered, such as "which campaign did this month's two contracts come from?".

If the team still does not use the CRM, it is worth asking what gets in the way before demanding it: long forms, stages that do not reflect the real sale and lack of connection to email and WhatsApp are the most common reasons, and all of them have a solution.

3. Is AI already working inside the funnel, in the CRM and in lead qualification?

What to check: whether artificial intelligence is connected to the sales operation (qualifying leads, suggesting the next action, replying outside working hours) or whether it is still used only to write texts.

Why it matters: AI that writes content is already common. AI that helps revenue is still rare, and that is where the advantage lies for whoever gets there first. In Panoramas 2026, 59% of companies use AI day to day, with 74% of marketing teams and 53% of sales teams. But among sales teams, 10% use an intelligent CRM and 5% use AI to score and qualify leads. In marketing, the figures are 12% and 7%.

The data: the barriers companies cite help choose the first step. Lack of knowledge about AI and tools appears in 46% of answers, budget in 39%, integration with other systems in 32% and disorganised internal data in 21%. In other words, a good part of the path depends on having the CRM and the data in order, which links this question to its two neighbours. The survey itself records that 53% of companies say they use the basics of AI and want to move forward.

There are practical examples of what this progress can deliver. In the Seminovos Marajó case, published by RD Station, automation took over 35% of lead handling, the cost per lead fell 25% and the connection rate with leads rose almost 40% in the first month. It is a case published by the tool's vendor, so it serves as a reference for what is possible, not as a promise.

Practical first step: choose one repetitive task in the funnel and automate only that. Good candidates are replying to first contact outside business hours, classifying leads by the three criteria from the agreement in question 1 and reminding the salesperson to resume a stalled opportunity. Measure response time and the share of leads that move to the next stage for 30 days. Then decide whether it is worth expanding.

4. Is the data organised and connected across systems?

What to check: whether the same lead has the same name, the same origin and the same history in the marketing tool, in the CRM and in the spreadsheet someone still keeps on the side.

Why it matters: when systems do not talk to each other, the areas argue about numbers instead of deciding what to do. Marketing shows 400 leads, sales shows 90 opportunities, and nobody can say which of the 400 became the 90. With connected data, the same question has a single answer, and it arrives in minutes.

The data: in Panoramas 2026, 47% of companies say marketing and sales use integrated tools and hardly disagree on the data; 53% have not yet reached that point. Among the barriers to using AI, 32% cite integration with other systems and 21% say internal data is not structured. Organising data pays off on two fronts: it improves today's funnel and prepares the company for tomorrow's AI.

Practical first step: draw a one-page map with three columns: where the lead enters (form, WhatsApp, ad, referral), in which system it is recorded and who updates it. Then choose a single official source for the lead, normally the CRM, and define the minimum fields that must reach it: name, contact, origin, date and campaign. If parallel spreadsheets exist today, the first goal is to reduce them, not to eliminate them all at once.

This does not always require changing tools. Often the solution is a well-configured integration between the ones the company already uses.

5. Does everyone follow the same indicators, from first contact to contract?

What to check: whether marketing and sales look at a shared dashboard, with the same numbers, and whether there is a fixed routine for reading it together.

Why it matters: the right indicator shows where to act and who acts. Four of them make a good starting point:

  1. Leads generated and qualified leads, to see whether volume and quality move together.
  2. Lead response time, to know whether the agreement from question 1 is being met.
  3. Conversion by funnel stage, to locate where opportunities stall.
  4. Revenue by source, to decide where to invest the next euro or real.

The data: in Panoramas 2026, 56% of companies hold alignment meetings between marketing and sales, but only 27% hold them every week and 24% have no meeting routine at all. Some habits of reading results together also have room to grow: 46% of marketing teams follow the loss reasons of opportunities in negotiation, and 55% follow what happens to leads after they move to sales. Those loss reasons help adjust the message and audience of later campaigns.

An example from practice: in the Viválá Turismo case, published by RD Station, the company started sending 52% fewer leads to the sales team, with better qualification, and sales rose 38%, while the sales cycle shortened by 77%. It is the result of a single customer of the tool, but it illustrates the point: less volume, with more criteria, can deliver more.

Practical first step: build a dashboard with the four indicators above, with the same source for both teams, and schedule a weekly 30-minute meeting to read it. End each meeting with a decision: what changes this week and who does it.

Where to start

If the five questions seem like a lot, the order helps. Start with the first: the written agreement on the qualified lead. It is cheap, quick to do and serves as a base for the other four, because it defines what the CRM records, what the AI qualifies, which data needs to circulate and what the dashboard measures.

A realistic roadmap for the next four weeks:

  1. Week 1: agreement on qualified lead and response time.
  2. Week 2: mandatory CRM fields and daily use by both teams.
  3. Week 3: data map and choice of the official lead source.
  4. Week 4: dashboard with the four indicators and the first joint meeting. AI comes afterwards, on a base that already works.

To do this exercise with support, it is possible to book a Clarity Session, with no commitment. xGrowth looks at the company's revenue funnel in light of these five questions and indicates where to start.

Sources

RD Station sources consulted on 09/11/2026.