12 Best Revenue Operations Tools of 2026

12 High-Impact Tools for Revenue Operations Teams

Revenue operations teams are drowning in disconnected tools. Sales runs in one system, marketing in another, customer success in a third, and the result is broken pipeline visibility, unreliable forecasts, and GTM execution that never quite fires on all cylinders.

ZoomInfo is built to solve that. As an AI GTM Platform, ZoomInfo connects verified B2B data, intent signals, Chorus conversation intelligence, and behavioral signals through a GTM Context Graph reasoning layer, giving revenue teams a single foundation that spans the entire go-to-market motion.

This guide covers what RevOps software actually is, why it matters, and how 12 leading tools stack up, so you can make a sharper evaluation decision.

What Is Revenue Operations Software?

Revenue operations software is the connected toolchain that aligns sales, marketing, customer success, and finance around unified pipeline data and shared revenue metrics. It is not a single product; it is a category of platforms designed to eliminate the silos that form when each department runs its own stack.

The distinction from point solutions matters here. A CRM is a point solution. A sales engagement tool is a point solution. RevOps software is the connective layer that ties those tools together through shared data, attribution logic, forecasting models, and automated workflows that span departments.

If you are evaluating tools in this category, you are likely a RevOps leader, sales ops manager, or GTM strategist who needs to make a defensible vendor decision. The four core software categories to map your evaluation against are:

• Data foundation and enrichment: Verified contact and account data that feeds every downstream system

• Pipeline and forecasting: Deal inspection, forecast accuracy, and revenue prediction

• Sales engagement and activation: Sequencing, dialing, and multi-channel outreach automation

• Conversation and revenue intelligence: Call recording, deal analytics, and coaching signals

Most RevOps stacks pull from two or more of these categories. The question is whether your tools share a common data layer or operate in isolation.

Key Benefits of Revenue Operations Tools

RevOps platforms solve the fragmented data and manual processes that slow down revenue teams. When sales operates in one system, marketing in another, and customer success in a third, you get conflicting metrics, duplicated effort, and missed opportunities.

Revenue operations tools deliver measurable impact through:

• Unified Data: Centralized information across sales, marketing, and customer success teams

• Pipeline Visibility: Real-time deal tracking and accurate forecasting

• Workflow Automation: Elimination of manual, repetitive tasks

• Data-Driven Decisions: Actionable insights at scale

Unified Data Across Sales, Marketing, and Customer Success

RevOps tools centralize data from multiple systems, eliminating conflicting reports and enabling shared visibility. When all teams work from the same data foundation, you reduce time spent reconciling numbers and increase time spent on revenue-generating activities.

The operational impact is real. Momentive used ZoomInfo's data and workflow automation to take lead follow-up time from 20 minutes to 60 seconds, a reduction that compounds across every rep and every inbound lead in the pipeline.

Improved Pipeline Visibility and Forecasting Accuracy

Consolidated data improves pipeline health monitoring and forecast confidence. Revenue leaders can spot deal risks earlier, reallocate resources faster, and commit to numbers with greater certainty when they have complete visibility into the funnel.

Automated Workflows That Reduce Manual Tasks

Automation capabilities in RevOps tools eliminate repetitive data entry, lead routing, and reporting tasks. Sales reps spend less time on administrative work and more time selling. Marketing teams can execute campaigns faster without manual list building.

Data-Driven Decision-Making at Scale

RevOps tools surface actionable insights that inform strategy across the revenue organization. Instead of relying on gut instinct or anecdotal evidence, teams can identify patterns, test hypotheses, and optimize based on what actually drives results.

Snowflake built an account propensity model on 70+ firmographic and technographic fields from ZoomInfo, producing 90% higher opportunity open rates compared to their prior approach. That is the difference between a data foundation and a data dump.

At-a-Glance: RevOps Software Comparison

12 Best Revenue Operations Tools

1. ZoomInfo

ZoomInfo is the all-in-one AI GTM Platform built on three interconnected pillars.

The first is a verified data foundation: 500M+ contacts, 100M+ companies, and 1.5B+ daily data points continuously refreshed across firmographic, technographic, and contact dimensions. The second is the GTM Context Graph, a reasoning layer that fuses verified data with CRM signals, intent data, Chorus conversation intelligence, and behavioral signals to surface prioritized actions rather than raw records. The third is Universal Access: APIs, MCP server integration, GTM Workspace, and GTM Studio that push verified data and GTM intelligence into every tool in your stack, including AI agents running in Claude, ChatGPT, or custom workflows.

CRM Enrichment is where the data foundation becomes operationally visible. ConnectWise enriched their CRM data to 99% accuracy using ZoomInfo, eliminating the stale records that corrupt forecasting and territory planning. Sendoso reduced inaccurate data 70% and saved $4.9M with ZoomInfo by replacing manual data hygiene with automated enrichment triggers.

Key Features:

• Verified contact and account data (500M+ contacts, 100M+ companies, 1.5B+ daily data points)

• GTM Context Graph reasoning across data, CRM, intent, conversation, and behavioral signals

• Chorus conversation intelligence for call recording, transcription, and deal analytics

• CRM Enrichment with automated trigger-based record updates

• GTM Workspace with AI agent layer for guided selling and next-best-action recommendations

• GTM Studio for territory planning, scoring, and account segmentation

• APIs and MCP server for AI agent and custom workflow integration

Compliance: ISO 27001, ISO 27701, SOC 2 Type II, TRUSTe GDPR/CCPA.

Pricing: Free to start with consumption credits based on usage.

Talk to our team to see the GTM Context Graph in action.

2. Gong

Gong's Revenue AI Platform centers on Gong Engage, which captures and analyzes every customer interaction across calls, emails, and meetings. Where a CRM stores static fields reps fill in manually, Gong positions itself as a "living, breathing system of record" that updates automatically from actual buyer conversations.

Gong Forecast layers deal warnings and account hygiene signals on top of that conversation data, giving revenue leaders a view into which deals are tracking to close and which are at risk based on engagement patterns rather than rep-reported stage updates.

The structural gap is the data foundation. Gong is conversation-rich but does not auto-populate verified B2B contact and account data from call transcripts. Teams running Gong pair it with ZoomInfo to ensure the underlying contact records, firmographic data, and intent signals feeding Gong's analytics are accurate and complete.

Key Features:

• Gong Engage: conversation capture across calls, emails, and meetings

• Gong Forecast: deal warnings and account hygiene signals

• Living, breathing system-of-record positioning vs. static CRM fields

• Coaching and call analytics for sales managers

3. Clari

Clari's Clari Forecast product delivers AI-driven forecast call accuracy and pipeline inspection across 75,000+ revenue teams. The platform analyzes CRM activity, rep behavior, and deal engagement to produce forecast predictions that go beyond what reps self-report in their pipeline reviews.

Clari's recent acquisition of Salesloft consolidates revenue intelligence with sales engagement, giving Clari a sequencing surface to pair with its forecasting layer.

The structural reality is that Clari runs on top of data foundations from CRM and enrichment tools. It needs clean pipeline data to produce reliable forecasts; it does not generate that data itself. Teams using Clari pair it with ZoomInfo enrichment to ensure the CRM records feeding Clari's AI model are accurate and current.

Key Features:

• Clari Forecast: AI-driven forecast accuracy and pipeline inspection

• Pipeline inspection across 75,000+ revenue teams

• Salesloft acquisition consolidating revenue intelligence and engagement

• Deal risk signals based on engagement patterns

4. 6sense

6sense's 6sense ABM Platform uses predictive account scoring to map buyers across the full journey from Awareness through Purchase, surfacing which accounts are in-market before they raise their hand. Native ABM advertising orchestration lets marketing teams activate those signals directly in paid channels without exporting to a separate ad platform.

6sense holds Gartner Magic Quadrant Leader status, a genuine recognition of its predictive AI capabilities in the ABM category.

The gap is at the contact level. 6sense is strong on account-level signal and scoring, but it does not provide the verified contact data foundation that ZoomInfo delivers at scale.

Key Features:

• 6sense ABM Platform with predictive account scoring across buying stages

• Native ABM advertising orchestration

• Gartner MQ Leader recognition for ABM Platforms

How 6sense compares against ZoomInfo

6sense's predictive AI model and ABM advertising orchestration make it a strong choice for enterprise marketing teams that want programmatic account-based ad buying built into their intelligence platform.

ZoomInfo's edge is ZoomInfo's GTM Context Graph reasons across CRM + intent + conversation + behavioral signals (6sense's predictive AI operates within its own signal set without cross-signal fusion), ZoomInfo provides verified contact data scale (500M contacts, 200M+ verified business emails) that 6sense's account-scoring layer does not deliver, and ZoomInfo holds Gartner MQ Leader status for ABM Platforms in 2024 and 2025.

See the 6sense vs. ZoomInfo comparison for the full head-to-head.

5. Outreach

Outreach's Outreach Engage is the enterprise sales engagement platform built around multi-step sequences spanning email, dialer, LinkedIn, and tasks. Its sequencing analytics give revenue teams visibility into which sequence steps, messaging variants, and timing patterns drive replies and meetings, making it the deepest analytics layer in the enterprise engagement category.

The structural gap is the same as most engagement platforms: Outreach Engage has no native B2B data foundation. Sellers using Outreach pair it with ZoomInfo to populate sequences with verified contacts, direct dials, and intent-scored accounts rather than manually sourced or stale CRM records.

Key Features:

• Outreach Engage: multi-step sequences across email, dialer, LinkedIn, and tasks

• Enterprise sequencing analytics

• Workflow automation and task management

• Native CRM integration

6. Salesloft

Salesloft's Salesloft Cadence is the sequencing surface used by 4,000+ revenue teams, offering multi-step cadences across email, dialer, tasks, and LinkedIn. Following Clari's acquisition of Salesloft, the platform now sits inside a broader revenue intelligence and engagement stack.

Like Outreach, Salesloft Cadence has no native B2B data foundation. It runs alongside ZoomInfo or another data source to populate cadences with verified contacts and intent-scored accounts. The Clari acquisition gives Salesloft users a path toward tighter forecasting integration, but the data layer remains a separate decision.

Key Features:

• Salesloft Cadence: multi-step cadences across email, dialer, tasks, and LinkedIn

• 4,000+ revenue teams

• Clari acquisition integrating forecasting and engagement

• Broad CRM and data-source neutrality

7. Cognism

Cognism's Diamond Verified Data product is built around phone-verified EU mobile numbers with 87%+ accuracy and a GDPR-first compliance framework. For sales teams targeting European markets, Cognism's manual phone-verification process addresses a real coverage gap that other providers have in the region.

The compliance-first positioning is a genuine strength, not just a marketing claim. EU outbound teams that have struggled with mobile number accuracy and GDPR exposure will find Diamond Verified data directly solves their problem.

The gaps are scale and platform depth. Cognism's dataset is smaller than ZoomInfo's 500M contacts, and the platform has no conversation intelligence layer or built-in seller workspace equivalent to GTM Workspace.

Key Features:

• Diamond Verified Data: phone-verified EU mobile numbers at 87%+ accuracy

• GDPR-first compliance framework

• Manual phone-verification process for high-confidence mobile coverage

• EU-focused outbound data

How Cognism compares against ZoomInfo

Cognism's Diamond Verified phone-verified EU mobile data and GDPR-first compliance posture make it the strongest choice for sales teams targeting European markets where other providers have coverage gaps.

ZoomInfo's edge is ZoomInfo covers 135M+ verified phone numbers, 120M+ direct dials, and 45M+ international mobile numbers globally vs. Cognism's EU-focused Diamond Verified scope; ZoomInfo's platform compliance footprint includes ISO 27001, ISO 27701, SOC 2 Type II, and TRUSTe GDPR/CCPA (broader than Cognism's compliance signaling on Diamond Verified records alone); and ZoomInfo's GTM Context Graph fuses verified data with intent, CRM context, and Chorus conversation intelligence (Cognism's platform has no equivalent reasoning layer).

See the Cognism vs. ZoomInfo comparison for the full head-to-head.

8. People.ai

People.ai focuses on revenue intelligence through activity capture and account-level engagement analytics. The platform automatically logs rep activity from email, calendar, and other sources into the CRM, reducing manual data entry and giving revenue leaders a cleaner picture of which accounts are receiving attention and which are going dark.

The structural scope is narrower than a full RevOps platform. People.ai layers activity intelligence on top of an existing CRM and data foundation; it does not provide the verified contact and account data that feeds the rest of the stack. Teams using People.ai for activity capture pair it with ZoomInfo for the underlying data foundation.

Key Features:

• Automated activity capture from email and calendar

• Account-level engagement analytics

• CRM data quality improvement through auto-logging

• Pipeline coverage and rep productivity insights

9. HubSpot

HubSpot's HubSpot Sales Hub plus Breeze Intelligence gives SMB and mid-market teams a CRM, marketing automation, and enrichment layer in a single platform. The full-funnel visibility from first website visit through closed deal is a genuine structural advantage for teams that want one system rather than a stitched-together stack.

Breeze Intelligence (formerly Clearbit) is HubSpot's native enrichment product, but its coverage and freshness are narrower than ZoomInfo's verified data foundation. Teams running HubSpot at scale frequently pair it with ZoomInfo to access richer firmographic, technographic, and contact data than Breeze Intelligence provides on its own.

Key Features:

• HubSpot Sales Hub: CRM plus pipeline management

• Breeze Intelligence enrichment (formerly Clearbit)

• Marketing automation in one platform

• Free CRM tier that scales to enterprise

10. Demandbase

Demandbase's Demandbase One is a unified ABX platform combining account intelligence, intent signals, ABM advertising, and sales intelligence in a single product. For enterprise marketing teams that want to consolidate their ABM stack, Demandbase One's unified positioning reduces the number of vendor relationships and integration points.

The data layer gap is worth understanding. Demandbase relies on partner integrations rather than a first-party contact graph, which means coverage and data freshness vary depending on which data partners are active for a given account or contact. Teams that need verified contact-level data at scale pair Demandbase with ZoomInfo.

Key Features:

• Demandbase One: unified ABX platform spanning account intelligence, intent, advertising, and sales intelligence

• Account-based advertising with measurement

• Predictive scoring and intent signals

• Sales intelligence for rep-level account prioritization

How Demandbase compares against ZoomInfo

Demandbase One's unified ABX positioning, combining account intelligence, advertising, and sales intelligence in one platform, lands hardest with enterprise teams that want to consolidate their ABM stack with a single vendor.

ZoomInfo's edge is ZoomInfo's direct-dial accuracy and CRM enrichment breadth exceed Demandbase's partner-integrated data layer at the contact level; ZoomInfo has enrichment trigger automation and an MCP + AI agent ecosystem that extends data into the broader GTM stack (Demandbase's account intelligence layer does not support equivalent activation depth); and ZoomInfo holds Gartner MQ Leader status for ABM Platforms in 2024 and 2025.

See the Demandbase vs. ZoomInfo comparison for the full head-to-head.

11. Pipedrive

Pipedrive is an SMB-focused CRM built around a visual pipeline kanban and lightweight workflow automation. For small revenue teams that want straightforward deal tracking without the configuration overhead of enterprise CRM platforms, Pipedrive delivers a clean, activity-based selling experience.

Pipedrive is CRM-only. It does not include a B2B data foundation, enrichment layer, or intent signals. Teams using Pipedrive pair it with ZoomInfo for verified contact data, account intelligence, and the enrichment that keeps their pipeline records accurate.

Key Features:

• Visual pipeline kanban with drag-and-drop deal management

• Lightweight workflow automation

• Activity-based selling framework

• Simple reporting and deal tracking

12. Saleshandy

Saleshandy is a cold-email and outreach automation tool built for SMB cold-outreach motions. It covers email sequencing, deliverability optimization, and tracking for teams running high-volume outbound campaigns.

Saleshandy is narrow by design. It is best suited for solo sellers and small teams that need a focused cold-outreach tool without the complexity of a full sales engagement platform. Like every outreach tool in this category, Saleshandy pairs with B2B data sources including ZoomInfo for verified contact data to populate sequences.

Key Features:

• Cold email sequencing and automation

• Email deliverability optimization and tracking

• Inbox rotation for high-volume sending

• Basic analytics on open, reply, and click rates

Worth Noting: Apollo, Salesforce, and Clay

Three additional tools come up consistently in RevOps evaluations but fall outside the top-12 ranking. Each serves a distinct use case.

Apollo AI Sales Platform: Apollo's AI Sales Platform integrates a 230M+ contact database, AI agents for prospecting and outreach, email sequences, a power dialer, and public per-seat pricing including a free-forever tier. The all-in-one positioning lands hardest with SMB and individual sellers who want stack consolidation at a predictable price. ZoomInfo covers 500M+ verified contacts versus Apollo's 230M+ (more than double the coverage), and the GTM Context Graph reasons across CRM, intent, and behavioral signals in ways Apollo AI agents do not replicate. ZoomInfo also includes Chorus conversation intelligence; Apollo has no equivalent product.

How Apollo compares against ZoomInfo

Apollo's all-in-one positioning, combining a 230M+ contact database, AI agents, email sequences, and a power dialer with fully public tiered pricing and a free-forever tier, lands hardest with SMB and individual sellers who want stack consolidation at a predictable price.

ZoomInfo's edge is ZoomInfo covers 500M+ verified contacts vs. Apollo's 230M+ (more than double the coverage); ZoomInfo's GTM Context Graph reasons across CRM + intent + behavioral signals (Apollo AI agents operate without comparable cross-signal fusion); and ZoomInfo includes Chorus conversation intelligence (Apollo has no equivalent product).

See the Apollo vs. ZoomInfo comparison for the full head-to-head.

Salesforce Sales Cloud: Salesforce Sales Cloud is the system-of-record CRM that most RevOps stacks are built around. It handles pipeline management, opportunity tracking, and the Agentforce AI agent layer, with the broadest integration ecosystem in B2B through AppExchange. Salesforce is the orchestration layer, not the data foundation. Teams pair Salesforce Sales Cloud with ZoomInfo for verified contact data and enrichment that keeps CRM records accurate and current.

Clay GTM Data Platform: Clay is a GTM data enrichment and workflow platform popular with RevOps engineers who want programmatic control over data orchestration. Clay's waterfall enrichment capability pulls from multiple data sources in sequence, filling gaps that any single provider leaves. ZoomInfo's APIs and MCP server deliver the same enrichment and workflow capability with a verified first-party data foundation that Clay aggregates across third-party sources. For teams that want enrichment depth without building and maintaining a multi-source waterfall, ZoomInfo's direct data layer is the more durable foundation.

How to Choose Revenue Operations Tools

Picking the right RevOps tools is less about features and more about understanding what your stack is missing and what your teams will actually use.

Evaluate Your Current Tech Stack

Start with an honest audit of what you already have. Map every tool across sales, marketing, customer success, and finance, and identify where data breaks down between systems. The gaps you find will tell you which RevOps category to prioritize first.

Common stack gaps to look for:

• Data foundation: Are CRM records stale? Are reps spending time on manual research instead of outreach? You need enrichment and a verified data layer before forecasting or scoring tools will produce reliable outputs.

• Pipeline visibility: Can revenue leaders see deal health in real time, or are they relying on rep-reported stage updates? If forecasting is unreliable, a pipeline inspection tool like Clari may be the right next layer.

• Engagement execution: Are sequences running on manually sourced contacts? Pairing an engagement platform with a verified data foundation closes that gap.

• Territory planning: Are territories built on firmographic data that is more than 12 months old? Tools like GTM Studio and data enrichment from ZoomInfo give territory planning a current data foundation.

Tool consolidation is also worth evaluating. RevOps stacks that have grown through point-solution accumulation often have seven or more tools doing overlapping jobs. Consolidating around platforms that cover multiple categories reduces integration overhead and data synchronization failures.

Map Tools to Stakeholder Needs

Different RevOps tools serve different functions within the revenue organization. Before evaluating vendors, map which stakeholders will use each tool and what outcome they need.

• Sales reps need verified contact data, sequencing, and guided next-best actions

• Sales managers need deal inspection, call analytics, and coaching signals

• Marketing teams need account scoring, intent signals, and attribution data

• RevOps and finance need forecasting accuracy, pipeline health, and reporting that does not require manual reconciliation

• Customer success needs account health signals and engagement history

A tool that solves for one stakeholder group but creates friction for another will see low adoption. Prioritize platforms that serve multiple stakeholder needs from a shared data layer.

Think About the Stack as a System, Not a Toolbox

The most common mistake in RevOps tool selection is evaluating tools in isolation. A best-of-breed forecasting product, a best-of-breed sequencer, and a best-of-breed conversation intelligence layer can still produce a broken stack if the data layer feeding them is fragmented across three vendors and three refresh cadences.

Treat the RevOps stack as a three-layer system architecture:

• Layer 1, the data foundation: verified contact and account data, intent signals, technographics, and behavioral signals. This layer must be the cleanest because every higher-layer tool depends on it. ZoomInfo's verified data foundation (500M contacts, 100M companies, 1.5B+ daily data points) plays at this layer.

• Layer 2, the reasoning and orchestration layer: scoring, attribution, forecasting, routing, and intent triage. The GTM Context Graph operates here, reasoning across data, intent, conversation (Chorus), and behavioral signals to produce account prioritization and pipeline coaching that no single point tool can replicate from its own signal set.

• Layer 3, the activation surface: sequencing, dialer, ABM advertising, and CRM workflows where the orchestration layer's output is acted on. Outreach, Salesloft, 6sense, and Demandbase live primarily at this layer.

Most RevOps teams optimize Layer 3 tools first because that is where reps live, then discover the data foundation and orchestration layers below it are inconsistent. The order of investment should be the opposite: data first, orchestration second, activation third. This is the systems perspective that separates a coherent RevOps stack from a collection of disconnected tools.

Prioritize Data Governance and Integration

Data governance is not a compliance checkbox. It is the foundation that determines whether every downstream tool in your stack produces reliable outputs.

Forecasting tools produce unreliable predictions when they run on stale CRM data. Scoring models produce inaccurate rankings when the firmographic and technographic fields feeding them are incomplete. Attribution models produce misleading results when contact and account records are duplicated or mismatched across systems.

The practical implication: invest in your data foundation before adding forecasting, scoring, or attribution layers on top. Enrichment quality, refresh frequency, and compliance posture (GDPR, CCPA, SOC 2) should be evaluation criteria for every data-touching tool in your stack, not just the tool you label as your "data provider."

Integration depth matters equally. A RevOps tool that requires manual CSV exports to connect with your CRM is not a RevOps tool; it is another silo. Evaluate native integrations, API access, and whether the vendor supports MCP or AI agent connectivity for the workflows your team is building.

Frequently Asked Questions About Revenue Operations Tools

How are RevOps tools different from traditional sales tools?

Traditional sales tools like basic CRMs and standalone dialers are designed for individual rep productivity. RevOps tools are designed for cross-functional alignment: they connect sales, marketing, customer success, and finance around shared pipeline data, unified attribution, and revenue metrics that all teams agree on. The key difference is scope. A sales tool optimizes one function; a RevOps platform optimizes the system those functions operate within.

How do RevOps tools integrate with CRM systems?

Most RevOps platforms integrate with CRM systems through native connectors, APIs, or bi-directional sync. The integration depth varies significantly. Some tools offer read-only enrichment (appending fields to existing records), while others support full bi-directional sync that writes activity data, engagement signals, and enriched contact fields back into the CRM in real time. When evaluating integration quality, ask specifically about field-level mapping, sync frequency, conflict resolution logic, and whether the vendor supports MCP or AI agent connectivity for custom workflow automation.

What role does data quality play in RevOps tool performance?

Data quality is the single biggest determinant of whether RevOps tools deliver on their promise. Forecasting accuracy depends on clean pipeline data. Account scoring depends on accurate firmographic and technographic fields. Attribution depends on correctly matched contact and account records across systems. Tools like Clari, 6sense, and Demandbase are only as good as the data foundation they run on. Investing in enrichment and data hygiene before layering on intelligence tools is the sequence that produces reliable outputs.

How large does a revenue team need to be to justify RevOps tools?

There is no hard headcount threshold. The more useful question is whether your current stack is producing reliable pipeline visibility and forecast accuracy. Teams of five reps with a broken data foundation will benefit from enrichment and CRM hygiene tools immediately. Teams of fifty reps without a forecasting layer are leaving forecast accuracy on the table regardless of size. The investment calculus shifts from "can we afford this" to "what is the cost of operating without it" once you have mapped the gaps in your current stack.

Should we build a custom RevOps stack or buy an integrated platform?

Most teams benefit from a platform-first approach with targeted point solutions filling specific gaps. Building a fully custom stack from APIs and point solutions requires RevOps engineering capacity that most teams do not have, and the integration maintenance burden compounds as the stack grows. The practical middle ground is anchoring on a platform that covers your highest-priority categories (data foundation, engagement, or forecasting) and integrating point solutions where the platform has genuine gaps. If you are evaluating where to start, Talk to our team to map your current stack against ZoomInfo's GTM platform and identify where verified data and the GTM Context Graph close your biggest gaps.