A new inbound lead has completed your form. You have a name, an email address, and perhaps a company name. Is that enough information for your sales team to take meaningful action? Usually, it is not.

Before a sales representative can prioritize the lead and start a relevant conversation, several questions still need answers. Who is this person? Which company do they work for? Are they still in the role listed? Does the company fit your ideal customer profile? Should the lead be contacted immediately, nurtured, or disqualified?

In this demo, Infinityn shows how Clay can turn a basic inbound form submission into an enriched, scored, and sales-ready contact before the lead reaches a sales representative.

What the inbound enrichment workflow does

The workflow begins when a new record enters Clay from an inbound form or webhook. The demo table starts with the contact's first name, last name, full name, email address, and company name. From there, Clay identifies the company, checks what is already known, fills the most important data gaps, evaluates fit, creates sales context, distributes the lead, and updates the CRM.

The goal is not to collect every possible data point. It is to gather enough reliable information to decide whether the lead deserves attention and to give the sales team useful context for the first conversation.

Step 1: Identify the company behind the form submission

The first step is to determine what type of email address the contact submitted. It may be a company address, a personal address, or an educational address.

When the contact provides a company email, the workflow can extract the domain directly from the address. This creates a reliable starting point for identifying the organization.

Personal and educational email addresses require a different route. In those cases, Clay uses the submitted company name to find the correct company domain.

Step 2: Use waterfall enrichment to improve coverage and control cost

To find missing information, the workflow uses waterfall enrichment. A waterfall sends the same search through several data providers in sequence. If the first provider cannot return a result, the next provider tries, and the process continues until the required information is found or the available options are exhausted.

The providers can be arranged by cost, expected quality, or suitability for the use case. Lower-cost sources can be tested first, while more expensive options are used only when necessary.

This approach provides two practical benefits:

Step 3: Check the CRM before buying more data

Once the company domain is known, the workflow checks the CRM before searching externally. In the recording, this lookup is used to see whether the contact's LinkedIn profile is already available.

Reusing existing CRM data avoids unnecessary enrichment costs and reduces the risk of creating duplicate or conflicting records.

When the CRM does not contain the profile, Clay launches another waterfall to identify the correct LinkedIn URL. An AI research step acts as an additional fallback when the standard providers cannot return a result. The workflow then writes the best available result into a final contact LinkedIn field.

This creates a sensible order of operations: use existing first-party data first, call external providers when needed, and use AI to investigate unresolved gaps.

Step 4: Enrich the person and validate the employment record

The workflow searches for a work email only when the contact has not already supplied one. It then uses Clay's native person enrichment to add and validate professional information, including:

The current-employment check matters because a complete-looking record is not useful when the person has already moved to another company.

Step 5: Enrich the company once, then reuse the result

The person-level information provides the foundation for company enrichment. In the demo, the resulting fields include industry, company description, country, year founded, primary-location status, address data, employee count, revenue indicators, and technologies in the company stack.

In a production implementation, person and company enrichment should usually run in separate tables. The company is enriched once, and the result is reused across all associated contacts. This prevents the same account from being enriched repeatedly whenever another employee submits a form.

This separation improves data consistency and keeps enrichment costs under control.

Step 6: Score the contact and account against the ICP

Enrichment becomes commercially valuable when the collected data informs a decision. The recording shows a scoring layer that evaluates both the contact and the account against predefined qualification criteria.

The scoring model uses signals such as:

Structured fields support some criteria directly. AI can assess criteria that require interpretation, such as the likely maturity of the company's go-to-market operation.

The individual results are combined into an ICP tier. In the demo, the output distinguishes priority accounts, possible-fit accounts, lower-priority records, and contacts that are not a fit. This lets the sales team focus attention where it is most likely to create value.

Step 7: Generate sales insight, route the lead, and update the CRM

A score tells the sales team where to focus, but it does not necessarily explain how to start the conversation. The final AI enrichment step gathers sales-call insights about the company and the contact's context within the account.

After qualification, Clay can distribute each lead according to the company's routing rules and update the corresponding CRM object. The sales representative receives more than a basic form submission. The completed record can include:

The business impact: faster response, better prioritization, stronger conversations

Without automation, much of this work falls on sales, marketing operations, or revenue operations teams. Someone has to search for the contact, verify the company, review the account, decide whether it is a good fit, and update the CRM.

That manual process takes time, produces inconsistent results, and can delay the first response to a promising lead.

A well-designed Clay workflow turns those steps into a consistent inbound qualification process. It combines first-party CRM data, external enrichment providers, waterfall logic, AI research, custom scoring, lead routing, and CRM updates.

The result is not simply a more complete database. It is a more intelligent inbound motion that helps revenue teams respond faster, prioritize more accurately, and approach prospects with better context.

Build an inbound enrichment workflow around your sales process

Every company has different qualification criteria, data sources, CRM structures, and routing requirements. The most effective workflow is one designed around the organization's actual go-to-market process.

Infinityn helps revenue teams design and implement Clay workflows that turn fragmented inbound data into actionable sales intelligence.

Contact Infinityn to arrange a more detailed demonstration and explore how inbound enrichment can support your sales team.