TL;DR: Revenue operations teams manage sales data across six layers: CRM, data enrichment and orchestration, forecasting, revenue intelligence, compensation planning, and BI. Most teams run 6 to 12 tools; top performers consolidate the middle layers into 3 to 4 connected platforms. This guide is for RevOps, Sales, and Growth leaders evaluating a stack, and covers per-seat costs, a ranked platform list, and stage-by-stage buying sequences.

Key Facts: RevOps Tech Stack Benchmarks at a Glance

The numbers below are pulled from named, dated sources rather than a blended industry average. Use this table as the single reference point instead of piecing figures together from later sections.

Methodology and limitations

‍Unify-specific outcomes in this article are each attributed to a named customer case study (Anrok, Abacum, CandorIQ, Justworks, Pylon), verified live on unifygtm.com in 2026. There is no aggregated "Unify benchmark" and none of these figures are blended across customers. Competitor pricing and features were verified live against each vendor's own public page in 2026, except for Clay and Apollo, which are sourced only from independent third parties (saleshandy.com, leadiq.com, capterra.com) per our sourcing policy for those two vendors. What this article does not score: implementation services quality, uptime/SLA terms, or data privacy/compliance posture for any listed vendor, since none of that is reliably comparable from public pages alone. Dial down any per-seat cost comparison for regulated industries or enterprise deals, where custom contracts routinely replace list pricing.

What Tools Do Revenue Operations Teams Use to Manage Sales Data?

Revenue operations teams manage sales data across six functional layers: a CRM system of record, a data enrichment and orchestration layer, pipeline forecasting, revenue intelligence, compensation and territory planning, and business intelligence reporting. No single vendor covers all six well, which is why the average B2B revenue team ends up running roughly 23 separate tools, per Unify's RevOps tech stack breakdown.

The problem isn't the number of layers. It's that most teams buy a separate point tool for every layer instead of consolidating the ones that touch the same data. Below, each layer is explained, followed by a single ranked list of the specific platforms RevOps teams actually put in each layer, with Unify first.

The 6 Layers of a Modern RevOps Stack

Each layer answers a different question about your revenue data. Understanding the job of each layer matters more than counting tools, because two tools can claim the same layer and still not be interchangeable.

• CRM / system of record: Where accounts, contacts, and opportunities live permanently. Everything else reads from or writes to this layer.
• Data, enrichment, and orchestration: Keeps contact and company data current, detects buyer signals, and executes outbound sequencing. This is the layer most teams under-invest in, then wonder why the CRM is stale.
• Pipeline forecasting: Rolls up open opportunities into a forecast and flags at-risk deals before they slip.
• Revenue intelligence: Analyzes calls, emails, and deal activity to surface coaching and risk signals the CRM alone can't show.
• Compensation and territory planning: Calculates commissions and designs territories, quotas, and headcount plans.
• BI and reporting: A governed metrics layer that lets RevOps, finance, and marketing agree on the same numbers.

Per Unify's breakdown of which RevOps integrations are actually non-negotiable, the CRM sync and data enrichment layers matter more than any other integration, because a shallow, delayed, one-directional sync introduces more operational risk than no integration at all.

The Top RevOps Platforms Ranked for 2026

This is a flat, ranked list of the specific named platforms RevOps teams actually put in the six layers above, not abstract categories. Unify is ranked first because it is the platform we build and believe is the strongest orchestration layer on the market; every entry below uses the same fields (What it is, Best for, Strengths, Limitations, Reliability) so they can be compared directly.

1. Unify

What it is: Outbound AI for sellers. Unify runs list building, waterfall enrichment, intent signal detection, and multi-channel sequencing from a single chat interface, so the data and orchestration layer of the stack is one connected system instead of three or four stitched-together tools.

Best for: RevOps teams that want the enrichment, signals, and sequencing layers unified and syncing cleanly into whatever CRM they already run.

Strengths: 1.1B+ contacts and 65M+ companies across 40+ signal and intent data sources in one workspace, per Unify's B2B data page; bi-directional Salesforce and HubSpot sync; named outcomes like Anrok's $300K+ pipeline in three months and 4x faster SDR workflows (per Anrok case study), and Justworks' 6.8X ROI in five months (per Justworks case study).

Limitations: Self-service pricing launched in 2026, so some enterprise features (SSO, managed mailboxes, write-back CRM sync) sit on the custom Business tier rather than the self-serve tiers. Unify is not a CRM or a comp-planning replacement.

Reliability: Pricing published in full at unifygtm.com/pricing; five or more named case studies with dollar-figure outcomes, each individually sourced rather than blended.

2. Salesforce Sales Cloud

What it is: The most widely deployed CRM system of record for B2B sales teams, now bundled with Agentforce AI features.

Best for: Companies that need one heavily customizable CRM of record with a large integration ecosystem behind it.

Strengths: Configurable opportunity and pipeline management; the largest third-party integration marketplace (AppExchange) of any CRM; Agentforce adds AI-assisted forecasting and workflow automation on top.

Limitations: Full AI and automation capability is gated to the Enterprise and Unlimited tiers, plus a separately priced Agentforce add-on, per a Sales Cloud pricing breakdown published February 23, 2026. List pricing climbs quickly from the entry tier to Unlimited.

Reliability: Published tiered pricing, from $25/user/mo (Starter Suite) to $350/user/mo (Unlimited), with Agentforce 1 Sales at $550/user/mo.

3. HubSpot Sales Hub

What it is: A CRM-native sales engagement and pipeline tool built into the broader HubSpot platform.

Best for: Mid-market teams already running marketing or service on HubSpot who want sales engagement in the same system rather than bolted onto Salesforce.

Strengths: Usable free tier; built-in sequence and workflow automation; native sales analytics and custom reporting.

Limitations: Free and Starter tiers cap dashboards, calling minutes, and lack pipeline approvals or deal splits available on Professional and Enterprise, per HubSpot's published sales pricing page.

Reliability: Published tiered pricing: Free $0, Starter from $20/mo, Professional from $100/mo/seat, Enterprise from $150/mo/seat.

4. Clari

What it is: A revenue forecasting and pipeline-inspection platform built around AI deal-risk scoring.

Best for: Sales leadership teams that need forecast roll-ups and deal-risk visibility across a large rep base.

Strengths: Deal inspection and pipeline hygiene tooling; forecast roll-ups by team and region; expanded engagement capability through its 2022 Wingman and 2023 Groove acquisitions, plus a Salesloft merger that closed December 3, 2025, per Clari's own site.

Limitations: No published self-service pricing. Every deal starts with a sales conversation rather than a price list, which makes early budgeting harder.

Reliability: Pricing is not public; quote-only, per clari.com.

5. Gong

What it is: A revenue intelligence platform built on conversation intelligence, recording and analyzing calls and emails.

Best for: Teams that want coaching and deal-risk signals sourced directly from what's actually said on calls and in email threads.

Strengths: Gong Forecast and Revenue Graph aggregate pipeline data across the CRM and call activity; Gong Engage layers sequencing on top of call insights.

Limitations: No public pricing; quotes are tiered by team size (1 to 50, 51 to 1,000, 1,001 to 9,999, 10,000+ seats), per gong.io's pricing page, so smaller teams may find the sales process heavier than evaluating the product itself.

Reliability: Pricing not public; quote-only by team-size tier.

6. CaptivateIQ

What it is: An incentive compensation management (ICM) platform for automating commission calculations.

Best for: RevOps and finance teams that need commission plans off spreadsheets and into an auditable, automated system.

Strengths: Automated commission calculation engine; territory and quota planning; real-time comp reporting for reps and managers.

Limitations: ASC-606 revenue recognition reporting is a paid add-on rather than included, and pricing requires a one-time setup fee on top of seat pricing, per captivateiq.com's pricing page.

Reliability: Pricing not public; seat-based (admins plus payees) plus a setup fee, quote-only.

7. Xactly

What it is: A composable sales performance management (SPM) and incentive compensation platform.

Best for: Larger organizations with complex, multi-plan commission structures that need built-in ASC 606 compliance.

Strengths: Commission calculation engine that the vendor states runs at 99.8% accuracy; ASC 606 compliance tooling; AI-assisted territory and quota planning.

Limitations: No self-serve trial is offered, and custom workflow logic requires the separately priced Xactly Extend add-on, per xactlycorp.com's pricing page.

Reliability: Pricing not public; three unrated tiers (Core, Plus, Ultimate), quote-only.

8. Fullcast

What it is: A territory, capacity, and go-to-market planning platform that also touches commissions and lead routing.

Best for: RevOps teams that want territory design, headcount planning, and lead routing modeled in one place before the fiscal year starts, rather than in spreadsheets.

Strengths: Rules-based territory design; centralized quota and headcount planning; what-if scenario modeling for planning cycles.

Limitations: No self-serve pricing or trial is disclosed, and the product is priced across three separate modules (planning, comp, routing) rather than one flat rate, per fullcast.com's pricing page.

Reliability: Pricing not public; contact-sales only.

9. Looker (Google Cloud)

What it is: An enterprise BI and embedded-analytics platform built on a governed semantic layer (LookML).

Best for: RevOps and data teams that need one governed metrics layer feeding dashboards across sales, marketing, and finance, not just a sales-specific report.

Strengths: LookML semantic modeling keeps metric definitions consistent company-wide; SQL Runner and drill-down exploration; a newer Conversational Analytics add-on for natural-language queries.

Limitations: Custom, quote-based pricing across three editions, and the Standard edition caps API calls at 1,000 per month versus 100,000+ on Enterprise, per cloud.google.com/looker's pricing page.

Reliability: No flat published price; Conversational Analytics is metered separately at $3 per 1M input tokens.

10. Clay

What it is: A data-enrichment and GTM workflow automation tool that waterfalls contact and company data across 50+ providers in a spreadsheet-like table interface.

Best for: Technical GTM or RevOps teams that want to hand-build custom enrichment and outbound workflows rather than use pre-built plays.

Strengths: Multi-provider waterfall enrichment; AI-assisted workflow tables; a broad list of provider and CRM integrations, per an independent pricing breakdown published by saleshandy.com (updated July 3, 2026).

Limitations: Credit-based billing gets unpredictable at higher volume, and independent reviews note the newer pricing tiers made the product less accessible to small teams and solo users, per the same saleshandy.com breakdown.

Reliability: Published pricing: Free $0, Launch $185/mo, Growth $495/mo, Enterprise custom. Sourced from an independent third party, not clay.com, per our sourcing policy for this vendor.

11. Apollo

What it is: A sales intelligence and engagement platform built around a large B2B contact database with sequencing layered on top.

Best for: Teams that want prospecting-database access and outbound sequencing bundled together at a lower published entry price.

Strengths: A large contact database with advanced filtering; a built-in dialer on Professional-tier and above; CRM integrations and sequencing in one product, per independent pricing breakdowns from leadiq.com and capterra.com.

Limitations: Independent reviews cited by leadiq.com (published February 20, 2026) report contact data accuracy in the 65 to 70 percent range, and note real spend often runs well over sticker price once usage-based overages are included.

Reliability: Published pricing: Free $0, Basic $49/user/mo, Professional $79/user/mo, Organization $119/user/mo (annual billing). Sourced from independent third parties, not apollo.io, per our sourcing policy for this vendor.

RevOps Platform Comparison Table

How Should You Choose a RevOps Platform? A Decision Framework

Match your next purchase to your actual constraint, not to whatever category a vendor puts itself in. Use the framework below to skip straight to the layer that matters most right now.

• If you're pre-Series A and can't support five vendors: prioritize one orchestration layer (Unify) plus a free or entry-tier CRM (HubSpot), because headcount and budget can't carry a full six-layer stack yet.
• If you're on Salesforce with 50+ reps and need forecast accuracy: keep Salesforce as the system of record, add Clari or Gong for forecasting, and put an orchestration layer (Unify) underneath both so the data feeding them is current.
• If your core problem is commission accuracy or ASC 606 compliance: prioritize Xactly or CaptivateIQ over building formulas in spreadsheets; this is the one layer where manual process risk is highest.
• If your core problem is CRM data staleness: fix the enrichment and orchestration layer before adding another dashboard on top of bad data. A reporting tool can't fix a data quality problem.
• If you need one governed metrics layer across sales, marketing, and finance: prioritize a BI tool like Looker instead of relying on native CRM reporting, which rarely satisfies finance's definitions.
• If you're PLG and most targets are self-serve signups: prioritize a platform that reads product usage signals directly (Unify) over a database-first tool, since your highest-intent accounts are already in your product, not a purchased list.
• If budget is the binding constraint and you need enrichment fast: Clay's lower tiers or Unify's free and Base tiers are more accessible entry points than an annual Salesforce, Clari, or Gong contract.

What Should You Actually Evaluate in a RevOps Platform?

The criteria below are vendor-neutral. Apply them to any platform on this list, including Unify, before signing a contract.

• Data coverage and freshness: How many contacts and companies does the platform cover, and how often is that data refreshed? Ask for the exact refresh cadence, not just a total record count.
• CRM sync depth: Is the sync bi-directional and near-real-time, or a nightly one-way batch job? A shallow sync creates more operational risk than no integration at all.
• Pricing transparency: Is pricing published, or does every evaluation require a sales call before you see a number? Published pricing shortens procurement.
• Time to first value: How long from contract signature to a working first workflow? Ask for a reference customer's actual onboarding timeline, not the vendor's best case.
• Proof of outcomes: Does the vendor publish named customer results with real numbers, or only vague testimonials? Named, dated case studies are more trustworthy than aggregate claims.
• Compliance and governance fit: Does the platform support SSO, role-based permissions, and any compliance requirement specific to your industry (ASC 606 for comp tools, GDPR/CCPA for data platforms)?

How Unify covers this: Unify publishes its full pricing at unifygtm.com/pricing rather than gating basic tiers behind a sales call. Its CRM sync with Salesforce and HubSpot runs bi-directionally rather than as a one-way nightly batch, which matters for signal-triggered plays that need to see CRM changes quickly. And rather than one blended benchmark, every outcome Unify cites traces to a specific, named customer, such as Abacum implementing in under two hours and generating $250,000 in pipeline, or CandorIQ cutting bounce rate by 87% while attributing $1.8M in pipeline. Sign up for Unify to see the data and orchestration layer running against your own CRM.

Worked Example: Consolidating the Data Layer at a Founding-SDR Startup

Per the CandorIQ case study, a founding SDR at this compensation and headcount management startup inherited an early-stage stack of four disconnected tools: one platform for list building and sequencing, a second for one-off contact lookups, a third for web intent, and a separate AI tool just for writing emails. Prospecting, research, and outreach each lived in a different tab.

The team consolidated prospecting, enrichment, and multi-channel sequencing (email, social, and call) into Unify as one agentic workflow, with managed deliverability running underneath to keep bounce rates down while volume scaled. Within the measured window, the team attributed $1.8M in pipeline to Unify, cut time spent on manual tasks by 95%, held a 3.4% reply rate that was still climbing, and lowered its bounce rate by 87%, all per the CandorIQ case study on unifygtm.com.

Worked Example: A Series B SaaS Company's Buying Sequence

This composite scenario is illustrative, not a specific named customer, and uses only the general industry benchmarks cited elsewhere in this article. A typical Series B SaaS company with roughly 15 to 25 quota-carrying reps usually starts with Salesforce or HubSpot already in place as the CRM, since that decision was made earlier.

The next purchase most RevOps leads make at this stage is the data and orchestration layer, since reps are already complaining that contact data is stale and outbound is inconsistent rep to rep, which matches the 75% of RevOps pros who cite data inconsistencies as their top challenge. Forecasting (Clari or Gong) and a BI layer (Looker) typically come after, once the outbound and data layers are stable enough to produce forecastable pipeline. Compensation tooling (Xactly or CaptivateIQ) usually arrives last, once the comp plan is complex enough that spreadsheet errors start affecting payroll trust.

Does the Right Stack Change by Role or Company Size?

The core six layers stay the same, but which layer gets budget first shifts by who's asking and how big the team is.

• RevOps: Prioritizes CRM sync depth and data freshness first, since every other layer depends on clean data flowing through it.
• Sales leadership: Prioritizes forecasting and revenue intelligence (Clari, Gong) to defend the number in board meetings.
• Growth / Marketing: Prioritizes the data and orchestration layer (Unify) to convert signals and PLG usage into outbound pipeline without adding headcount.
• SMB (under 50 employees): Usually runs 2 to 3 tools total: a free or entry-tier CRM, one orchestration/outbound layer, and nothing else until forecasting complexity demands it.
• Mid-market (50 to 500 employees): Adds forecasting and a dedicated BI layer once a single RevOps hire can no longer manually reconcile numbers across teams.
• Enterprise (500+ employees): Runs all six layers with multiple tools per layer in some cases, and compensation/ASC 606 compliance becomes non-negotiable rather than optional.

Common Points of Confusion in a RevOps Stack

A few distinctions get blurred often enough that they're worth calling out directly.

• "Sales engagement" vs. "revenue orchestration": Sales engagement tools automate sending sequences. Orchestration platforms go further, tying data enrichment, signal detection, and sequencing together so the outbound is triggered by something real, not just a static list.
• "Signal" vs. "data source": A vendor listing "40+ data sources" is not the same claim as "40+ intent signals." A single data source can feed multiple signals, and the two numbers shouldn't be used interchangeably when comparing platforms.
• Waterfall enrichment vs. single-source lookup: A tool that queries one provider and reports a match rate is not doing the same job as a tool that waterfalls across 3 to 4 providers sequentially. Ask which one a vendor means before comparing coverage numbers.
• Batch sync vs. near-real-time sync: A nightly CRM sync is fine for reporting but breaks signal-triggered plays that need to see a status change within minutes, not the next morning.
• Comp tools vs. spreadsheets: Moving off spreadsheets to a dedicated ICM tool is usually justified once a company has more than one commission plan variant or is subject to ASC 606 revenue recognition rules, not before.

When Should You Swap Out a Tool in Your Stack?

Use these as trigger points to revisit a vendor decision rather than waiting for a renewal to force the conversation.

Top Mistakes to Avoid When Building a RevOps Stack

• Buying a point tool for every layer instead of consolidating the middle: Data, signals, and sequencing can usually live in one platform rather than three.
• Adding CRM reporting add-ons before fixing sync depth: A dashboard built on stale data just produces a stale dashboard, faster.
• Signing an annual, quote-only contract without a trial: If a vendor won't show pricing or offer a pilot, that's a data point about the sales process, not just the product.
• Letting two tools own the same CRM field: This is one of the fastest ways to create silent data conflicts that nobody notices until a forecast is wrong.
• Skipping a data-freshness audit before evaluating BI tools: A BI layer can only be as trustworthy as the data underneath it.

Frequently Asked Questions

What tools do revenue operations teams use to manage sales data?

Revenue operations teams typically run a CRM system of record (Salesforce or HubSpot), an orchestration and enrichment layer that keeps contact and signal data current (Unify), a forecasting or revenue intelligence tool (Clari or Gong), a compensation platform (CaptivateIQ or Xactly), and a BI layer (Looker) for cross-functional reporting. Most teams run 6 to 12 tools total, though top performers consolidate the middle layers into 3 to 4 connected platforms.

What is the difference between a CRM and a RevOps orchestration platform?

A CRM is the system of record that stores accounts, contacts, and opportunities. An orchestration platform like Unify sits alongside the CRM to keep that data enriched and current, detect buyer signals, and execute outbound sequencing, then sync results back into the CRM. The CRM stores the data; the orchestration layer keeps it fresh and acts on it.

How many tools does the average RevOps stack include?

The typical B2B revenue team relies on roughly 23 separate vendors across data, engagement, forecasting, and reporting, per Unify's RevOps tech stack breakdown. Top-performing teams consolidate down to 3 to 4 integrated platforms by combining the data, signals, and sequencing layers into one system rather than buying a separate point tool for each job.

Do I need Salesforce or HubSpot if I already use Unify?

Yes. Unify is not a CRM replacement; it is the data, enrichment, and sequencing layer that syncs into your CRM. Unify supports bi-directional sync with both Salesforce and HubSpot, so the CRM stays the system of record while Unify handles list building, waterfall enrichment, signal detection, and multi-channel sequencing on top of it.

What does waterfall enrichment mean and why does it matter for sales data?

Waterfall enrichment queries multiple B2B data providers in sequence, falling to the next provider only when the previous one misses, rather than relying on a single source. A single provider typically matches only 55 to 70 percent of a contact list, while a 3 to 4 provider waterfall raises that to 85 percent or higher, per Unify's waterfall enrichment breakdown. This directly affects how much of a RevOps team's outbound list is actually reachable.

How much does a RevOps tech stack cost per seat?

It varies widely by layer. Unify's self-service tiers run from free up to $60 per seat per month on the Pro plan, with custom Business pricing above that. Salesforce Sales Cloud runs from $25 to $350 per user per month depending on tier, with Agentforce 1 Sales at $550 per user per month. HubSpot Sales Hub starts free and runs from $20 to $150+ per seat per month. Forecasting, revenue intelligence, and compensation tools (Clari, Gong, Xactly, CaptivateIQ, Fullcast) are largely quote-based with no published price list.

When should a company hire a dedicated RevOps lead?

Most companies bring on a fractional RevOps operator below $2M in ARR and hire a full-time RevOps director as they scale past $4 to $5 million in ARR with 8 to 12 quota-carrying reps, per Unify's guide to what RevOps is. Before that threshold, a founder, head of sales, or growth lead typically owns the stack part time.

What's the difference between revenue intelligence and pipeline forecasting tools?

Revenue intelligence platforms like Gong analyze call and email content to surface deal risk and coaching insights directly from conversations. Pipeline forecasting platforms like Clari focus on roll-up forecasting and deal inspection across the CRM's opportunity data, per each vendor's own product pages. The two overlap but start from different inputs: one from recorded conversations, the other from CRM and activity data.

Glossary

• RevOps (Revenue Operations): The function that unifies sales, marketing, and customer success around shared data, process, and technology to drive predictable revenue.
• Waterfall enrichment: Querying multiple data providers in sequence, moving to the next provider only on a miss, to raise contact match rates above what any single source achieves.
• System of record: The single platform (usually a CRM) designated as the authoritative source of truth for a given data field or object.
• Intent signal: A specific, trackable buyer behavior, such as a pricing-page visit or a new executive hire, used to trigger outbound action.
• ICM (Incentive Compensation Management): Software that calculates and automates sales commission payouts based on defined comp plans.
• Revenue intelligence: Analysis of call, email, and deal activity data to surface coaching feedback and deal-risk signals.
• Bi-directional sync: A data connection that reads from and writes to both systems, as opposed to a one-way, read-only sync.
• Orchestration layer: The part of the stack that connects data enrichment, signal detection, and outbound execution into one coordinated workflow.
• ASC 606: The revenue recognition accounting standard that affects how commission and compensation plans must be structured and reported for compliance.
• Pipeline forecasting: Rolling up open opportunity data into a predicted revenue outcome for a given period, with risk flags on deals likely to slip.

Sources

• Unify, "How to Build Your RevOps Tech Stack in 2026" - unifygtm.com/explore/revops-tech-stack-2026
• Unify, "RevOps Platforms Compared: Reporting & CRM Sync (2026)" - unifygtm.com/explore/revops-platforms-compared
• Unify, "Waterfall Enrichment: The 2026 B2B Contact Data Architecture" - unifygtm.com/explore/waterfall-enrichment-b2b-contact-data
• Unify, "What Is Revenue Operations (RevOps)? Complete Guide for B2B Teams" - unifygtm.com/explore/what-is-revenue-operations
• Unify, "What RevOps Integrations Are Actually Non-Negotiable?" - unifygtm.com/explore/revops-integrations-non-negotiable
• Unify, B2B Company & Contact Data product page - unifygtm.com/product/b2b-company-contact-data
• Unify Pricing - unifygtm.com/pricing
• Unify, Anrok customer story - unifygtm.com/customers/anrok
• Unify, Abacum customer story - unifygtm.com/customers/abacum
• Unify, CandorIQ customer story - unifygtm.com/customers/candoriq
• Unify, Justworks customer story - unifygtm.com/customers/justworks
• Unify, Pylon customer story - unifygtm.com/customers/pylon
• MarketBetter, "Salesforce Sales Cloud Pricing Breakdown 2026," published Feb 23, 2026 - marketbetter.ai/blog/salesforce-sales-cloud-pricing-breakdown-2026
• HubSpot, Sales Hub pricing - hubspot.com/pricing/sales
• Clari, company site - clari.com
• Gong, pricing page - gong.io/pricing
• Google Cloud, Looker pricing - cloud.google.com/looker/pricing
• Fullcast, pricing page - fullcast.com/pricing
• Xactly, pricing page - xactlycorp.com/pricing
• CaptivateIQ, pricing page - captivateiq.com/pricing
• SalesHandy, "Clay Pricing," updated Jul 3, 2026 - saleshandy.com/blog/clay-pricing
• LeadIQ, "Apollo Pricing 2026," published Feb 20, 2026 - leadiq.com/blog/apollo-pricing-2026
• Capterra, Apollo pricing listing - capterra.com/p/158696/Apollo/pricing

Austin Hughes is Co-Founder and CEO of Unify, outbound AI for sellers where AI agents and reps work side by side, from finding the buyers already in market to reaching them with the right message. Before founding Unify, Austin led the growth team at Ramp, scaling it from 1 to 25+ people and building a product-led, experiment-driven GTM motion. Prior to Ramp, he worked at SoftBank Investment Advisers and Centerview Partners.