Five Clay workflows a small sales team can actually run

What is Clay, in plain words?

A spreadsheet where each column can do a job.

One column finds a company's website. The next finds the head of sales. The next checks the email. The next reads their last LinkedIn post and writes one line about it.

You build the columns once. Then you add rows and it runs.

What does it cost?

Less than most people think, if you are careful.

Clay, pricing page lists a free plan with 100 data credits and 500 actions a month. Launch starts at $167 a month with 2,500 data credits. Growth starts at $446 with 6,000.

Credits run out fast when a table runs every step on every row. The fix is order. Run the cheap checks first, and only spend credits on rows that pass.

Workflow 1: Which accounts fit?

Input: a list of companies from Sales Navigator, a directory or your CRM.

Steps: find the website, pull headcount and location, ask a short AI question such as "Does this company sell to other businesses? Yes or no."

Output: a fit score. Only accounts that pass move on.

This is where most money is saved. Do not look up people at companies that do not fit.

Workflow 2: Who is the right person?

Input: the accounts that passed.

Steps: search for two or three job titles, in order. Head of Sales first, then Sales Director, then the founder for small firms. Find the email using more than one provider, one after the other, and verify it.

Output: one or two named people per account, with checked emails.

In Southeast Asia and the GCC, data tools often have fewer verified emails. Plan for LinkedIn to carry more of the work there.

Workflow 3: Who changed jobs?

People move more than you think.

Lusha, B2B data decay measured, September 2026 tracked 140,284 contacts and found 12.25% of US sales leaders changed roles in twelve months. In the UK it was 21.40%.

Steps: once a month, re-check the job title and company for everyone in your CRM.

Output: two lists. People who left, so you stop emailing a dead inbox. People who arrived somewhere new, who are often your best leads. A new leader is one of the strongest buying signals there is.

Workflow 4: Who is hiring for the problem you solve?

Input: your fit accounts.

Steps: pull open job posts. Flag roles that point to your service. A company hiring three SDRs may need outbound help. A company hiring a Head of People may need HR support.

Output: a short list with the job post as the reason to write.

Workflow 5: What should I know before the call?

Input: a booked meeting.

Steps: pull recent company news, the person's last few posts and any open roles. Ask AI for a five-line summary.

Output: a short note in your CRM before the call.

This one saves time every single week, and it costs very few credits.

What should stay out of Clay?

• The final message. Clay can draft a line. A person writes the message.
• The choice of who to contact. Scores help. Someone still needs to look at the list.
• Anything nobody on your team understands. If only the builder can fix a table, it breaks the week they leave.

Where do small teams go wrong?

1. Building 30 columns before testing 3.
2. Running every step on every row, then running out of credits by day ten.
3. Trusting the fit score without looking at the list.
4. Never refreshing the data, so the CRM slowly fills with people who left.

A licensing consultancy in Malaysia reached CIOs at companies of 500 to 25,000 people. Tight fit filters mattered more there than any clever column.

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