The document contains information about a laundry collection service business including data on store locations, revenues, marketing expenditures, and population data for different cities. It describes analytical tasks to identify the better performing sales region and new locations for investment. Various charts and graphs are presented analyzing the data by region, city revenue, clusters based on revenue and spending, campaign performance, and top earning states. Key findings are that Region 1 performs better across metrics and four new cities - Paterson, Rockford, Joliet, and Thousand Oaks - show the most potential for increased revenue from higher marketing spending.

1. About the Data set
• The information pertains to a new business that
provides a laundry collection service. The new business
venture is already present in 140 different locations
and has only lately opened stores in 10 additional
cities.
• Additionally, the company has two separate sales
regions.
• The data includes the geographic location of each
store, as well as its revenue and marketing
expenditures.
• In the other sheet, the population of the various cities
in the United States is listed.
• In order to integrate the two sheets, the data on the
city and the state name are connected together using
an inner join operation.

3. Analytical Tasks to be performed
#1
Identify which of the 2 sales region is performing better
considering the following 3 metrics:
a.Average revenue per city
b.Average marketing spend per city
c. Average Return on Marketing Investment per city
#2
Identify which of the 10 new locations have the best
potential for the company to invest more funds into
marketing

4. Region Analysis
• The graph helps us
interpret that the cities
were divided into the
two regions.
• We can clearly infer
that Region 1 has
greater average
revenue, average
marketing spend and
ROMI(Return on
marketing investment)
which shows that the
cities in this region are
performing better.
• ROMI is a calculated
field (Revenue/
Marketing Spend)

5. City Revenue
• Geographical
representation of the
all the locations. A
highlighter is used to
differentiate the New
and Old Cities.
• Little Rock in the State
Arkansas has highest
revenue.

6. Clusters
• Clusters were drawn considering
the 2 parameters: Revenue and
Marketing Spend
• The plan was to categorize the
cities based on the two variables
and look for patterns in the
results.
• Evidently, as marketing
expenditures increased, revenue
for cities in the blue cluster
increased
• Yet, the trend remained
unchanged for cities in the
orange cluster. The increased
marketing expenditure did not
result in greater income

7. Clusters Refined
• Since the laundry business is
directly proportional to the
population of the particular
city.
• Population, Marketing Spend
and Revenue was considered
and then 3 clusters were
observed.
• Trend line was drawn for each
of the cluster to see which of
the cities in the New
Expansion plan are giving the
best results.

8. Cluster Average population
From the graph we can see that cities on
the basis of marketing spend, revenue
and population estimate, came under
three different clusters.
Here, the cluster 2 shows the highest
Average population followed by cluster
1.
Since, laundry is the business which is
dependent on the population estimate
of the city.
This result can be used to plan the
marketing spend of the cities in each
cluster.

9. Campaign Performance
The graph helps to study the
effectiveness of the campaigns
that were running in old and
new cities, placed side by side
in a graph for comparison. It
can be concluded from the
graph that old cities are
showing decent results from
campaign 2 and 3. We do not
have enough data to give a
concrete conclusion for new
cities.

10. Top 5-states Region
The graph gives us the representation of states
with high revenues from each of the regions. In
region 2, California, Texas and Washington are
performing the best in terms of revenues
whereas in region 1, Florida is faring high. This
gives a basic sense of high revenue earning
states in each region.

11. Dashboard

12. :
1. Region 1 is performing better when compared on three metrics:
Average Revenue, Average Marketing spend and Average ROMI .
2. In the new 10 cities, Paterson, Rockford, Joliet, Thousand Oaks
shows huge potential as the trend line shows the highest slope for
them i.e. Marketing spend in those cities will increase the revenue
highest in these new cities.