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How Consultants and Agencies Can Use B2B Data to Fill Their Sales Calendar

A practical guide to building targeted lead lists using SIC codes, industry filters, and firmographic data

real estate prospecting

For consultants and agencies, consistent revenue hinges on a full sales calendar. That means one thing: reliable lead generation. Yet, in a world flooded with noisy CRM dashboards and generic outreach tools, many firms still rely on gut instinct instead of data precision.


This article outlines how consultants and agencies can use Standard Industrial Classification (SIC) codes, industry filters, and company-level data to build laser-targeted lists that convert. It’s not about getting more leads—it’s about getting the right ones.



Why SIC Codes Still Matter

Despite being introduced by the U.S. government in the 1930s, SIC codes remain a foundational tool for segmenting businesses by industry. Tools like the Salesfully SIC Lookup Tool let you search and filter companies based on four-digit codes tied to specific sectors—from roofing contractors (SIC 1761) to accounting services (SIC 8721).


When paired with geography, employee size, and revenue filters, SIC codes become a scalpel—not a sledgehammer. You can build hyper-relevant B2B prospecting lists that match your ideal customer profile down to the street level.


According to HubSpot, 61% of marketers say generating traffic and leads is their biggest challenge.

Proper segmentation using SIC codes can significantly reduce wasted outreach and increase conversion rates.


Sample Segmentation Table

SIC Code

Industry

Location

Company Size

Annual Revenue

8742

Management Consulting

New York, NY

11–50

$1M–$5M

7371

Custom Software Development

Austin, TX

51–200

$5M–$25M

8051

Skilled Nursing Facilities

Miami, FL

201–500

$10M–$50M

How to Filter Your Way to a Sales Pipeline

Let’s say you’re a marketing consultant who specializes in helping logistics companies modernize their customer experience. Instead of buying a giant email list from some sketchy provider, use a data platform like Salesfully to create a filtered list with:


  • SIC Code 4213 (Trucking, Except Local)

  • Company size: 50–250 employees

  • Region: Southeastern U.S.

  • Revenue: $5 million+


Suddenly, you’re no longer cold emailing strangers—you’re speaking directly to decision-makers in companies that fit your offering like a glove.


Expert Insight: “Your targeting strategy is only as good as the filters you apply,” says Neil Patel, co-founder of NP Digital. “If you're still blasting the same pitch to everyone, you're wasting your money and their time.”


Data-Driven Prospecting for Agencies

Marketing agencies can use the same strategy. A creative agency that serves SaaS clients might build a prospecting list using:


  • SIC Code 7372 (Prepackaged Software)

  • Job title filters: “Chief Marketing Officer,” “VP of Growth”

  • LinkedIn profile integration

  • Ad spend indicator (if available)


By combining firmographics and intent signals, your outreach gets sharper and more timely.


Research by DemandGen Report shows that 76% of B2B buyers want content that speaks directly to their company’s needs. That’s only possible with accurate segmentation.

Recommended Tools

  • Salesfully’s SIC-Based Search: Build targeted lists with built-in filters for SIC, NAICS, location, and more.

  • ZoomInfo: Ideal for job-title-based segmentation and account enrichment.

  • Hunter.io or Apollo.io: Use these for verified email extraction once you have your list.


Bonus Tip: For recurring outreach, use CRM automation tools with list import functions so that you can continuously prospect without restarting the process each week.

Video Resource: This 5-minute video from Salesfully—How to Build a Lead List Using SIC Codes—shows the entire process in action.


Filling your sales calendar doesn’t have to mean chasing lukewarm leads. By leveraging SIC codes, firmographic filters, and real-time data tools, consultants and agencies can focus on who matters—and leave the rest to automated workflows. The result? Fewer wasted hours and more closed deals.


Reminder: It’s not about having the most data. It’s about having the most relevant data.

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