Affiliate Marketing Company Uses Anodot to Proactively Manage 1000S of Fast-Moving Accounts
Customer Company Size
Large Corporate
Product
- Anodot
Tech Stack
- Real-time analysis
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
Applicable Functions
- Sales & Marketing
Use Cases
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
The customer is an affiliate marketing company that has been in operation for over 15 years. They market health, fitness, and beauty products, with a focus on supplements. The company works with a limited number of products but offers between 30-80 percent commission per sale, which is considered high in the affiliate industry. They support affiliates through lifetime cookies, ensuring a sale can be attributed to a member's site no matter how long after the customer's initial visit. The company has over 24,000 active affiliates in its network and pays an average commission of 30-80% per offer. The company emphasizes personalized service and technical support, assigning each affiliate a mentor to help them create their website and blog, promote their brands, and build a following.
The Challenge
The company, an affiliate network with over 200,000 members, was struggling to monitor business and technical incidents that were impacting their bottom line. The dynamic nature of their marketplace and the extensive metrics they had to track made it difficult to monitor changes in real-time. Factors such as changes in search engine algorithms and third-party trends, as well as changes in affiliate accounts, could significantly impact their business. The tools they were using required them to set thresholds manually, which allowed time for incidents to escalate.
The Solution
The company implemented Anodot to monitor all their accounts and data in real-time and quickly diagnose changes in the marketplace. This allowed them to take a more proactive stance towards account management and technical support, building stronger relationships with their affiliates and partner brands. Anodot's real-time analysis meant that employees spent less time monitoring and could instead focus on serving their affiliates. The company was able to notice changes instantly and proactively address issues, rather than reacting to them. Anodot's autonomous monitoring of their metrics also freed up the team's time to focus on affiliate support.
Operational Impact
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