They service the hospitality industry, medical offices, retail locations, religious centers, and even handle event cleanup.
The company is also one of the most prominent franchisors in the country, appearing 68th on Entrepreneur.com’s Franchise 500 List.
Anago branches have opened throughout the United States as well as internationally.
With success, though, came some scaling challenges that made sales and data transparency a hassle.
Systemic Bottlenecks and Opaque Data
Anago suffered from a long sales cycle. Because they serve such a wide range of customer types, they can’t base quotes on square footage and tasks required.
An in-person visit is required where a sales representative meets with a site manager to walk through the location.
After the walk-through the representative would collect information from the site manager, then return to the office and build a quote.
This involved a great deal of back and forth communication to sort out inaccurate information and debate services. The quote was then emailed to the prospective client.
If the client accepted, there was another in-person visit or complex email exchange to get the contract signed.
The system had a lot of flaws. Anago had a hard time communicating quickly with clients, and it was too easy for human error to drag down the quote process.
Tracking data like closing ratios took up a lot of labor hours without satisfactory results.
Also, every layer of complication created another place for prospects to call out of the sales cycle.
Anago needed a more effective process.