SERPninja

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Launched in 2020, SERPninja is a SEO services firm. Their small team is in and Toronto, Canada. Their team specializes in Search Engine Optimization.

Client Insights

Industry Expertise

Business services

20%

Advertising & marketing

15%

Gambling

10%

Legal Cannabis

10%

Medical

10%

Automotive

5%

Consumer products & services

5%

Financial services

5%

Food & Beverage

5%

Client Size Distribution

Small Business (<$10M) 80%

Midmarket ($10M - $1B) 20%

Common Project Size

$10K-$49K 1 project

$50K-$199K 1 project

Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

5.0
2 Reviews

SERPninja was hired by Slotsformoney.com, a company focused on iGaming reviews, articles, toplists, and news, to enhance their brand awareness, content writing, and link building. The webmaster of the company found SERPninja through an online search and chose them for their high ratings, budget-friendly pricing, and excellent outreach strategy. The project involved organic link building and content writing for six online gaming sites, requiring outreach to quality websites in similar niches. A team of 6-10 employees from SERPninja efficiently handled the company's link building and content marketing needs, leading to a successful completion of the project.

In another project, SERPninja was engaged by a technographic data vendor to increase traffic to their blogs and improve their overall domain authority and backlink profile. The co-founder of the company found SERPninja through an online search and referral, and selected them for their high ratings and good value for cost. The project's goal was to increase traffic from zero to about 10,000 visitors a month. SERPninja successfully achieved this by building high-quality backlinks, drastically increasing signups, and assisting with content strategy and keyword research. The company was particularly impressed with SERPninja's core competence in building high-quality backlinks.

Timeliness

4.8

Service Excellence

5.0

Value

5.0

Would Recommend

5.0