# The 2026 GTM Tool Report: What 62 Revenue Leaders Run

Source: https://coldiq.com/blog/the-2026-gtm-tool-report-what-62-revenue-leaders-run
Published: 2026-07-15 | Updated: 2026-10-15

> We surveyed 62 GTM leaders running organizations past the $1M mark and asked one open question: which tools do you run to source, engage, and close. Clay led at 71%, followed by n8n at 48%, HubSpot at 39%, and a three-way tie at 35% between Instantly.ai, HeyReach.io, and Apollo. Grouped by job, the data shows four clear themes: a dominant data and enrichment layer, a rising automation habit built on n8n, a live CRM race between HubSpot and Attio, and specialist senders split across email and LinkedIn. The featured stacks range from 15 to 54 tools yet share the same foundation, and Lovable landing in the top ten signals that revenue leaders now build their own software instead of only buying it. The takeaway is that consolidation happens at the data layer, and the winning teams own the connections between their tools.

We asked 62 GTM leaders running $1M+ organizations one simple question: what tools do you run day to day?

Not what they would recommend on a webinar. What sits open in their tabs while they build pipeline.

The answers gave us a clean read on the modern revenue stack, from the data layer up through sending and reporting. One tool showed up in nearly three quarters of every stack we collected. Below is the full breakdown, the top ten by mention rate, and what the pattern says about where go-to-market is heading.

## 1. The Method

We reached out to 62 founders, heads of growth, and revenue leaders, each running an organization past the $1M mark. We asked a single open question: which tools do you run to source, engage, and close.

No multiple choice. No vendor list to tick. They wrote back with the tools they open every week, in their own words.

Then we counted every mention across all 62 responses and ranked the results. The named operators below chose to share their stacks in public, so we can attribute them by name.

A few notes on how to read the numbers. The percentages are share of stacks, so 71% means 44 of the 62 leaders named that tool without being prompted. Because the question was open, the results skew toward tools people reach for by memory, which is a stronger signal than a tool nobody mentions until they see it on a list.

What follows is the raw read of what revenue teams run in 2026, not our opinion of the perfect stack.

## 2. The Most-Mentioned Tools

[Clay](https://coldiq.com/tools/clay) topped the list at 71%. Seven out of ten leaders run it, which makes enrichment and data orchestration the true center of the modern stack. When the most-mentioned tool is the one that connects every data source together, that tells you consolidation now happens at the data layer.

[n8n](https://coldiq.com/tools/n8n) came second at 48%. Almost half of these leaders wire their own automations instead of buying a rigid platform to do it for them. Building workflows in-house has gone from a technical luxury to a default habit.

[HubSpot](https://coldiq.com/tools/hubspot) held third at 39%, proof that the CRM system of record is still the backbone even as everything around it changes. [Instantly.ai](https://coldiq.com/tools/instantly) and [HeyReach.io](https://coldiq.com/tools/heyreach) tied at 35%, one owning cold email deliverability and the other owning LinkedIn outreach at scale. [Apollo](https://coldiq.com/tools/apollo) matched them at 35% as the all-in-one search and outreach platform.

LinkedIn appeared in 32% of stacks as the sourcing and social channel of choice. [Attio](https://coldiq.com/tools/attio) matched it at 32%, the AI-native CRM rising right alongside the incumbent. [Prospeo](https://coldiq.com/tools/prospeo) landed at 29% for accurate email finding, and [Lovable](https://coldiq.com/tools/lovable) rounded out the top ten at 29%, which is the surprise of the whole report.

A tool for building software with AI sitting in the top ten of a GTM report signals something new: revenue leaders are shipping their own internal tools and landing pages instead of waiting on a roadmap.

## 3. What the Data Says About the Modern Stack

Group the top ten by the job each tool does and four themes fall out.

The data and enrichment layer is the largest cluster by far. [Clay](https://coldiq.com/tools/clay) at 71%, [Apollo](https://coldiq.com/tools/apollo) at 35%, and [Prospeo](https://coldiq.com/tools/prospeo) at 29% mean the majority of these teams treat data as the foundation everything else sits on. Enrichment is no longer a tool you bolt on at the end. It is the first decision a team makes.

Knowing which tools a company already runs shapes how you sell to it, which is why detection has become part of the enrichment layer too. If you want to see the stack behind any domain before you reach out, you can check it here, for free:

### *Tech Stack Finder Tool*

The automation theme runs right behind it. [n8n](https://coldiq.com/tools/n8n) at 48% shows that GTM leaders now expect to connect their own tools with their own logic. The stack is not a set of subscriptions anymore, it is a set of workflows the team assembles and owns.

The CRM shift is visible in a single comparison. [HubSpot](https://coldiq.com/tools/hubspot) at 39% is the incumbent that still leads, but [Attio](https://coldiq.com/tools/attio) at 32% is close behind, which is remarkable for an AI-native newcomer. The CRM is moving from a filing cabinet you feed by hand to a system that enriches and acts on its own.

Sending splits cleanly across two channels. [Instantly.ai](https://coldiq.com/tools/instantly) and [HeyReach.io](https://coldiq.com/tools/heyreach) both hit 35%, one for email and one for LinkedIn, and plenty of leaders run both. The pattern is specialist senders over one heavy do-everything platform, each picked for deliverability in its channel.

Sitting on top of all of it is the AI-builder layer that [Lovable](https://coldiq.com/tools/lovable) at 29% represents. Revenue teams have started building software, not just buying it.

## 4. Inside the Featured Stacks

The mention counts tell you what is popular. The individual stacks tell you how deep operators go.

Nikola Sokolov, CEO of influencers.club, runs the widest stack we saw at 54 tools. His core includes [Clay](https://coldiq.com/tools/clay), [Instantly.ai](https://coldiq.com/tools/instantly), [HeyReach.io](https://coldiq.com/tools/heyreach), [n8n](https://coldiq.com/tools/n8n), and [HubSpot](https://coldiq.com/tools/hubspot), with 49 more behind them. Charles Tenot, CEO of [lemlist](https://coldiq.com/tools/lemlist), runs 40, anchored on [Clay](https://coldiq.com/tools/clay), [n8n](https://coldiq.com/tools/n8n), [Apollo](https://coldiq.com/tools/apollo), [Ahrefs](https://coldiq.com/tools/ahrefs), and [HubSpot](https://coldiq.com/tools/hubspot).

Jaspar Carmichael-Jack, CEO of [Artisan](https://coldiq.com/tools/artisan), keeps a tighter 25, built around [HubSpot](https://coldiq.com/tools/hubspot), [Gong](https://coldiq.com/tools/gong), [Lovable](https://coldiq.com/tools/lovable), and [Ahrefs](https://coldiq.com/tools/ahrefs). Benjamin Douablin, CEO of [FullEnrich](https://coldiq.com/tools/fullenrich), runs 19 with [HubSpot](https://coldiq.com/tools/hubspot), [Instantly.ai](https://coldiq.com/tools/instantly), [HeyReach.io](https://coldiq.com/tools/heyreach), and [n8n](https://coldiq.com/tools/n8n) at the core.

The leaner stacks are where the pattern sharpens. Eoin Clancy, Head of Growth at [AirOps](https://coldiq.com/tools/airops), runs 17 with [AirOps](https://coldiq.com/tools/airops), [lemlist](https://coldiq.com/tools/lemlist), [Clay](https://coldiq.com/tools/clay), [Common Room](https://coldiq.com/tools/common-room), and [Attention](https://coldiq.com/tools/attention). Kai Brandt, CEO of Enginy, also runs 17, leaning on [HubSpot](https://coldiq.com/tools/hubspot), [Claude](https://coldiq.com/tools/claude), [Ahrefs](https://coldiq.com/tools/ahrefs), [Lovable](https://coldiq.com/tools/lovable), and Loom.

At 15 tools each, Pierre Herubel, Co-Founder of Content Path, and Roq Xever, Founder of [PredictLeads](https://coldiq.com/tools/predictleads), show how the AI-builder habit reaches even the tightest stacks. Pierre runs [Clay](https://coldiq.com/tools/clay), [Claude](https://coldiq.com/tools/claude), [Attio](https://coldiq.com/tools/attio), [lemlist](https://coldiq.com/tools/lemlist), and [Webflow](https://coldiq.com/tools/webflow). Roq runs [HubSpot](https://coldiq.com/tools/hubspot), [Clay](https://coldiq.com/tools/clay), [Claude](https://coldiq.com/tools/claude), [Cursor](https://coldiq.com/tools/cursor), and [Lusha](https://coldiq.com/tools/lusha), with a code editor sitting inside a revenue stack.

Across the 49 more stacks behind these eight, the same names keep reappearing. The tool counts range from 15 to 54, but the foundation barely changes: a data layer, an automation layer, a CRM, and specialist senders on top.

What separates the wide stacks from the tight ones is rarely the core. It is the extras. The 54-tool operators add point solutions for niche jobs, while the 15-tool operators fold those jobs into fewer tools they know deeply. Both groups agree on where the foundation sits.

## 5. What to Take From This

The clearest signal in the data is where consolidation happens. It is not one platform swallowing the rest, it is a data layer that everything else connects to. [Clay](https://coldiq.com/tools/clay) at 71% is the single strongest read of that in the whole report.

The second signal is ownership. With [n8n](https://coldiq.com/tools/n8n) at 48% and [Lovable](https://coldiq.com/tools/lovable) at 29%, these leaders build and wire more of their own stack than any generation before them. They buy the sharp specialist tools and connect them with logic they control.

The third signal is that the CRM war is live again. [Attio](https://coldiq.com/tools/attio) reaching 32% against [HubSpot](https://coldiq.com/tools/hubspot) at 39% shows the system of record is up for grabs for the first time in years.

If you want to see how your own stack compares to the 62 leaders in this report, and where you are carrying tools that no longer earn their seat, you can run a full read here, for free:

### *GTM Report Tool*

Which tool in your stack would still be there if you rebuilt it from scratch today?

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