p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 21.0px; font: 20.0px Times}
To expand your business potential, a number of tactics that should be followed when mapping your franchise territory and crafting the strategy.
p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; text-align: justify; line-height: 12.0px; font: 10.0px Times}
p.p3 {margin: 0.0px 0.0px 0.0px 0.0px; text-align: justify; text-indent: 13.3px; line-height: 12.0px; font: 10.0px Times}
p.p4 {margin: 0.0px 0.0px 0.0px 0.0px; text-align: justify; text-indent: 13.3px; line-height: 12.0px; font: 10.0px Times; min-height: 13.0px}
p.p5 {margin: 0.0px 0.0px 3.0px 0.0px; line-height: 12.8px; font: 12.0px Futura; color: #0076da}
p.p6 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 12.0px; font: 10.0px Times}
p.p7 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 11.0px; font: 9.0px ‘Futura Lt BT Light’}
span.s1 {letter-spacing: -0.2px}
span.s2 {font: 10.0px Helvetica}
Franchising carries a lot of risk alongside potential rewards. A successful franchise is basically somebody’s wild idea, one who was able to turn it into a reality with the help of hard work and a good amount of luck (think Starbucks). Naturally, young entrepreneurs get inspired by such stories: if somebody made their idea work, so can they. And that’s how a franchise is born.
- You will not be able to efficiently maximize the number of your franchisees. Growing the number of your franchises essentially means making their territories smaller, so they can all fit under the umbrella without any overlaps. To pull this off, you need solid data (geographic, demographic, psychographic, customer, etc.) to understand how much territory is needed for a given franchise to be successful, not just survive.
- You will be losing money, a lot of money. By making the territories too large, you’re wasting the potential to acquire more customers. To put it simply, there will be a certain number of people in between those “big chunks” who would like to become your customers, but it’s simply too inconvenient for them to travel to any of your franchise locations.
- Customer data: You need to know as much as possible about your target customers, everything ranging from demographics to their lifestyle preferences. This information will allow you to understand where your consumers are located and spend most of their time and help you divide the territories equally (in terms of value) among franchisees.
- Customer count per territory data: This data will show how many customers a franchise territory should have to prosper. Remember that it’s in the best interests of the franchisor to have successful franchisees: their reputation, sales, revenue and customer base directly depend on this. Determining this data can be somewhat troublesome and will often involve the subjective side of the matter, but the best way to estimate it is by understanding and examining your territory carefully. Taking into account your own territory and geographical features, a reasonable estimate can be calculated. Once you have the estimate, use it to calculate the number of customers needed for each separate territory to prosper and, taking into consideration any geographical differences, set the boundaries of each territory.
- Geographical data: One is free to divide his franchise territories as he likes, but there are some generally accepted practices that come really handy when setting the territory boundaries. Zip codes, census tracts, user-described areas (rivers, mountains, major roads, etc.), state boundaries and country boundaries are all good examples of these practices. Using a combination of these boundaries (for example, Zip codes plus state boundaries) will save you a lot of trouble both in terms of communicating the divisions to franchisees and making sure there will be no overlaps, which is a common problem when the territories are defined with the help of just one of the above mentioned boundaries.
- Get ready to run some correlations. Use any tech/software you like, but even a simple Excel sheet will do just fine.
- Bunch together a combination of various data pieces, which are available for all 10 stores, and pour them into the Excel sheet.
- The data can (and should) contain any relevant information including parking data, lighting data, signage, customer demographics, psychographics, amplifiers (other businesses in the vicinity that can have a positive impact on your coffee shops, e.g. downtown area businesses, by driving potential customers to your franchise), suppressors (other businesses in the vicinity that can have a negative effect on your coffee shops, e.g. malls, by driving potential customers away from your franchise) and anything else that pops into your mind.
- After running the analysis, certain correlations will become visible. For example, you may find that 10 to 15 empty parking spaces during peak hours have a positive correlation with the two franchises that generate $10,000 more sales, or the presence of amplifiers directly correlates to increased sales, or the absence of suppressors for the two most profitable franchises (and the presence of those for the other eight) correlate to increased and decreased sales numbers correspondingly.