Companies that use Ruler Analytics

Analyzed and validated by Henley Wing Chiu
All โ€บ b2b marketing attribution โ€บ Ruler Analytics

Ruler Analytics We detected 182 customers using Ruler Analytics, 5 companies that churned or ended their trial, and 6 customers with estimated renewals in the next 3 months. The most common industry is Real Estate (7%) and the most common company size is 2-10 employees (33%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.

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Company Domain Employees Industry Region YoY Headcount Growth Usage Start Date
The Plex 201โ€“500 Recreational Facilities US N/A 2025-12-09
The Mater Private Hospital 1,001โ€“5,000 Hospitals and Health Care AU N/A 2025-12-04
Paiger 11โ€“50 Technology, Information and Internet GB 0% 2025-11-15
TekSavvy Solutions Inc. 501โ€“1,000 Telecommunications CA -0.2% 2025-11-15
Guaranteed Removals 51โ€“200 Technology, Information and Internet US N/A 2025-10-06
SA Law | Certified B Corpโ„ข 51โ€“200 Legal Services GB +13.8% 2025-08-03
International Granite and Stone 11โ€“50 Construction US -13.8% 2025-07-12
University of Kentucky Federal Credit Union 201โ€“500 Financial Services US +16.9% 2025-07-06
Spencer Auto Repair 11โ€“50 Motor Vehicle Manufacturing US +6.7% 2025-06-08
The Dental Law Partnership 51โ€“200 Law Practice GB +2% 2025-06-02
Cassini Technologies 11โ€“50 Medical Equipment Manufacturing NL -13.3% 2025-04-30
The Whittan Group 1,001โ€“5,000 Warehousing and Storage GB N/A 2025-04-16
MONEYME 51โ€“200 Financial Services AU +6.9% 2025-04-15
Left Main REI 11โ€“50 Real Estate US +63.6% 2025-04-11
Rattan Direct 11โ€“50 Furniture and Home Furnishings Manufacturing GB -15.6% 2025-04-11
Regal Boats 501โ€“1,000 Shipbuilding US +10.4% 2025-04-07
Flowout 51โ€“200 Design Services SI +28.2% 2025-03-23
G2 Risk Solutions 201โ€“500 Financial Services US +16.2% 2025-03-03
Cloud Coach 51โ€“200 Software Development US -5.9% 2025-02-24
Kicksta 11โ€“50 Advertising Services US +6.3% 2025-01-27
Showing 1-20 of 182

Market Insights

๐Ÿข Top Industries

Real Estate 9 (7%)
Hospitals and Health Care 8 (6%)
Retail 8 (6%)
Financial Services 7 (5%)
IT Services and IT Consulting 7 (5%)

๐Ÿ“ Company Size Distribution

2-10 employees 60 (33%)
51-200 employees 47 (26%)
11-50 employees 34 (19%)
201-500 employees 22 (12%)
501-1,000 employees 9 (5%)

๐Ÿ‘ฅ What types of companies is most likely to use Ruler Analytics?

Source: Analysis of Linkedin bios of 182 companies that use Ruler Analytics

Company Characteristics
i
Trait
Likelihood
Country: GB
15.6x
Company Size: 51-200
5.8x
Company Size: 11-50
2.2x
Country: US
1.7x
I noticed that Ruler Analytics customers are predominantly service-based businesses that need to justify their marketing spend and prove ROI. These aren't product companies or SaaS platforms. They're law firms like SA Law and Fletchers Group, healthcare providers like Host Healthcare, financial services firms like MONEYME and First Internet Bank, real estate companies like Legend Homes, and professional service providers like Moneypenny and PR Agency One. Many are in competitive, relationship-driven industries where the customer journey is long and attribution is genuinely difficult.

These are established, stable businesses, not startups. The majority have 50-500 employees, have been operating for years or decades, and show no recent funding rounds. When funding exists, it's usually debt financing or private equity, not venture capital. They're past the survival stage and focused on optimization and growth. Many are family-owned or independently operated, which suggests they're careful about spending and need clear proof that marketing investments work.

A salesperson should understand these customers are skeptical of marketing promises because they've likely been burned before. They need attribution not for investors or board decks, but for their own decision-making about where to allocate limited budgets. They value substance over flash, long-term partnerships over quick wins, and they want tools that integrate into existing processes without requiring a complete operational overhaul. They're buying Ruler Analytics because they're serious about marketing but need accountability.

๐Ÿ”ง What other technologies do Ruler Analytics customers also use?

Source: Analysis of tech stacks from 182 companies that use Ruler Analytics

Commonly Paired Technologies
i
Technology
Likelihood
2420.1x
348.1x
331.3x
284.9x
34.2x
26.3x
I noticed that companies using Ruler Analytics are intensely focused on attribution and conversion optimization across their entire marketing and sales funnel. The presence of tools like Click Guardian, Lead Forensics, and Full Story tells me these are B2B companies obsessed with understanding exactly which marketing efforts drive revenue. They're not just tracking vanity metrics, they're connecting every click to actual business outcomes.

The pairing of Ruler Analytics with HotJar and Full Story is particularly revealing. These companies want to see both the quantitative attribution data and the qualitative user behavior. They're asking questions like "LinkedIn Ads brought in this lead, but what did they actually do on our site?" The combination with Click Guardian suggests they're running paid campaigns at scale and need to protect their ad spend from fraud. Meanwhile, Lead Forensics appearing alongside Ruler Analytics shows they're trying to identify anonymous website visitors and attribute them back to specific campaigns, creating a complete picture of their pipeline sources.

My analysis shows these are marketing-led B2B companies, likely in the growth stage where proving marketing ROI becomes critical. The presence of Talkdesk indicates they have inside sales teams that need to connect phone conversations back to original marketing touchpoints. The heavy emphasis on LinkedIn Ads rather than other paid channels confirms a B2B focus, probably selling to mid-market or enterprise customers with longer sales cycles.

A salesperson approaching similar companies should understand they're dealing with sophisticated marketing teams under pressure to justify their budgets. These buyers care deeply about closed-loop attribution and are likely frustrated with their current inability to prove which channels actually generate revenue. They're already invested in the attribution conversation, they just need better tools to solve it.

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