MarketingSoda vs Clay: Data Quality Scoring vs Enrichment Workflows

Clay is one of the most impressive products in the RevOps tooling ecosystem. Since its founding in 2017, it has raised over $250 million in funding at a reported $3.1 billion valuation, built integrations with 100+ data providers, and created a workflow builder that gives revenue teams unprecedented flexibility in how they source, enrich, and act on prospect data. If you work in B2B sales or marketing operations, you have almost certainly heard of Clay, and you may be evaluating it right now.

MarketingSoda Refine is a different product that solves a different problem. Understanding which problem you actually need solved is the point of this post — not a sales pitch disguised as a comparison.

Here is how the two tools differ, where each one excels, and when you might want both.

What Clay Solves: Enrichment Workflow Builder

Clay is fundamentally a workflow builder for data enrichment. It lets you construct multi-step sequences that pull data from dozens of providers, transform it through AI-powered processing, and push results to your CRM, outreach tools, or custom destinations.

The core value proposition is flexibility. With Clay, you can:

• Chain multiple enrichment providers in sequence — find an email with Apollo, verify it with ZeroBounce, enrich the company with Clearbit, score the lead with your own logic, and write the result to HubSpot in a single workflow
• Use AI steps to parse unstructured data — extract technology stack from a company's website, classify prospects by persona based on their LinkedIn summary, generate personalized outreach copy from enriched fields
• Build custom tables that act as lightweight databases — import a list of target accounts, enrich each row through a multi-step waterfall, and export the result as a segmented campaign list
• Trigger workflows from multiple sources — CSV uploads, CRM events, form submissions, API calls, or manual input

Clay's strength is that it treats enrichment as a composable workflow problem. Instead of giving you a fixed enrichment pipeline with predetermined providers and logic, it gives you building blocks and lets you assemble whatever pipeline your use case requires.

Where Clay excels:

• Teams that need complex, multi-step enrichment logic that no single tool provides out of the box
• Outbound-heavy sales teams that build custom prospecting workflows from scratch
• RevOps engineers who think in terms of data pipelines and want maximum configurability
• Use cases that require AI-powered data transformation (classifying, parsing, generating)

What Refine Solves: Data Quality Scoring Engine

MarketingSoda Refine is a data quality scoring engine built natively for HubSpot. It does not build enrichment workflows. It scores, monitors, and remediates the quality of data that is already in your CRM — or data that is about to enter it.

The core value proposition is visibility and assurance. With Refine, you can:

• Score every contact on seven quality dimensions — completeness, accuracy, freshness, validity, consistency, uniqueness, and enrichment coverage — producing a composite quality score (0-100) and letter grade for every record
• Monitor database health in real time — track quality distribution, decay rates, and degradation trends across your entire HubSpot database with dashboards built for RevOps operators
• Gate operations on quality — enforce quality thresholds before contacts enter campaigns, sequences, or routing workflows, so your team only works records that meet a minimum data standard
• Automate remediation — when records fall below quality thresholds, trigger enrichment, verification, or suppression workflows to bring them back to standard or remove them from active operations
• Score imports before they land — evaluate CSV imports, list uploads, and integration syncs against your quality standards before they write to your database

Refine's strength is that it treats data quality as a continuous measurement and enforcement problem. Instead of enriching data and hoping it is good enough, it quantifies exactly how good your data is, identifies where it is degrading, and automates the response.

Where Refine excels:

• Teams whose primary challenge is data quality degradation in an existing HubSpot database
• Marketing operations teams that need to protect deliverability, segmentation accuracy, and reporting integrity
• Organizations that have data from multiple sources (imports, forms, integrations, manual entry) and need a unified quality standard
• RevOps leaders who need to quantify database health for executive reporting

Feature Comparison

The Decision Framework

The right tool depends on which problem is more urgent for your team right now.

Choose Clay if:

Your primary challenge is enrichment flexibility. You need to build custom data pipelines that chain multiple providers, apply AI transformations, and push results to multiple destinations. Your existing tools are too rigid — they offer fixed enrichment flows that do not match your workflow requirements.

You are building outbound prospecting from scratch. Your team is identifying target accounts, finding contacts, enriching them, and generating personalized outreach in a single pipeline. Clay's workflow builder excels at this end-to-end prospecting use case.

You need AI-powered data transformation. Your enrichment needs go beyond "fill in job title and company size" to include classifying prospects by persona, parsing unstructured data from websites, or generating content based on enriched fields.

You have a RevOps engineer who can build and maintain workflows. Clay's power comes with complexity. Building effective Clay workflows requires someone who understands data pipelines, provider strengths and weaknesses, and how to handle edge cases in multi-step sequences.

Choose Refine if:

Your primary challenge is data quality in HubSpot. You have data — potentially a lot of it — but you do not know how good it is, where it is degrading, or which records are safe to use in revenue operations. You need visibility before you need more enrichment.

Your database has grown through multiple sources. Imports, form submissions, integrations, manual entry, purchased lists — data has entered your HubSpot from many sources over many years, and quality varies dramatically across segments. You need a unified scoring framework that evaluates everything consistently.

You need to protect deliverability and sender reputation. Bad data is actively damaging your email deliverability, and you need quality gates that prevent degraded records from entering campaigns and sequences. This is a monitoring and enforcement problem, not an enrichment workflow problem.

You want database health metrics for executive reporting. Your leadership team asks "how healthy is our database?" and you need a quantitative answer — not "it seems okay" but "72% of records are campaign-ready, up from 58% last quarter, and here is the trend."

You are already using enrichment tools and need quality assurance on their output. You have Apollo, Cognism, ZoomInfo, or Clay enriching your data — but you have no way to measure whether the enriched data is actually accurate, complete, and fresh. Refine scores the output of whatever enrichment tools you use.

When to Use Both

The most sophisticated RevOps teams will use both tools because they address different parts of the data lifecycle.

Clay handles the inflow. It builds the enrichment pipelines that source new data, fill gaps in existing records, and transform raw data into structured, actionable fields. It is the engine that creates and improves your data.

Refine handles the assurance. It scores the data that Clay (and every other source) produces, monitors quality over time, enforces quality gates before data is used in operations, and triggers remediation when quality degrades.

The workflow looks like this:

1. Clay enriches new contacts through a multi-provider waterfall
2. Enriched contacts land in HubSpot
3. Refine scores each enriched contact across seven quality dimensions
4. Contacts meeting quality thresholds enter active campaigns and sequences
5. Contacts below thresholds are routed back to enrichment (potentially through Clay) or flagged for review
6. Refine monitors decay over time and triggers re-enrichment before records go stale

This is the difference between having an enrichment pipeline and having a quality-assured enrichment pipeline. The first fills fields. The second fills fields and proves that the filled values are accurate, consistent, and fresh enough to use.

What This Comparison Leaves Out

This post focuses specifically on Clay's enrichment workflow capabilities versus Refine's data quality scoring capabilities. There are dimensions of both products that fall outside this comparison:

Clay's collaboration features — Clay offers team workspaces, shared tables, and collaborative workflow building that are relevant for larger RevOps teams but orthogonal to the enrichment-vs-quality comparison.

Pricing specifics — Both products have tiered pricing that depends on contact volume, feature set, and contract terms. A direct pricing comparison requires evaluating your specific usage pattern against each platform's current pricing, which changes more frequently than blog posts get updated.

For the most current feature and pricing comparison, you can explore Clay at clay.com and Refine at marketingsoda.ai.

The Bottom Line

Clay and MarketingSoda Refine are not alternatives to each other. They solve different problems for different (sometimes overlapping) teams.

Clay is a best-in-class enrichment workflow builder. If your challenge is sourcing, enriching, and transforming prospect data through flexible, composable pipelines, Clay is purpose-built for that.

Refine is a purpose-built data quality scoring engine for HubSpot. If your challenge is understanding how good your data is, monitoring quality over time, and enforcing quality standards before data is used in revenue operations, that is what Refine does.

The question is not "which tool is better?" The question is "which problem am I solving right now?"

If data quality scoring is the problem — if you need to know which records in your HubSpot database are trustworthy, which are degrading, and what to do about it — we built Refine for exactly that.

Explore how Refine's seven-dimension quality scoring compares to enrichment-only approaches and how waterfall enrichment works under the hood.

Join the MarketingSoda Refine waitlist to get data quality scoring natively in HubSpot.