Online Survey Results for Very Fresh Food Delivery

Very Fresh Food Delivery conducted an online survey to obtain information regarding targeted consumer preference. The survey revealed that 20.9% of customers purchase veggie products, and the average purchase is higher for vegetarian products. Customers are generally satisfied with delivery service, and more than 60% purchase online organic products. The age group of 30-45 has been highly benefited as they rely on consuming organic products with raising consciousness.

Very Fresh Food Delivery

BACKGROUND
 Very Fresh Food Delivery is a developing firm that is specializing in shipping
organic foods.
 The popularity has been regained from firm’s offers of three meal plans, and
orders that can be placed online.
 The delivery is conducted online with guarantee of shipment within 2-3 days.
 The study concentrates over the first online survey conducted by the company.
The online survey is examined to obtain information regarding targeted
consumer preference.

DISCUSSION AND RESULTS
 As per the survey questions conducted on customers, it has been found that
20.9% of customers purchase veggie products.
 On an average the vegetarian purchase is higher compared to non-
vegetarian products.
 The purchase products are within an average of $60.00-79.99 that accounts
to 32.2%.
 The customers has shown positive outlook regarding delivery service. 82.1%
of customers have been satisfied with delivery within 2-3 days.
 there is an increase on satisfaction level accounting to 25% of satisfied
customers on an average.
 The benefactor acts when it is found that more than 60% customers purchase
online organic products promoting the services of Very Fresh Food Delivery.
 The age group of 30-45 has been highly benefited as they rely on consuming
organic products with raising consciousness.

Graphs and charts
Which plan do you regularly purchase from Very Fresh?
Items Percentage
Veggie 20.9
Meat Lovers 48.6
Seafood Delight 30.5
20.9
48.6
30.5
Percentage
Veggie
Meat Lovers
Seafood Delight
Veggie Meat Lovers Seafood
Delight
0
10
20
30
40
50
20.9
48.6
30.5

What is the average of amount you spend with Very Fresh per month?
Amount Percentage
$ 9.99 – 29.99 27.2
30.00 – 59.99 18.3
60.00 – 79.99 32.2
80.00 – 99.99 9.2
Over $100 3.1
2
7.
2
1
8.
3
32.2
9.
2 3.1
Percentage
$ 9.99 – 29.99 30.00 – 59.99
60.00 – 79.99 80.00 – 99.99
Over $100
$ 9.99 –
29.99
30.00 –
59.99
60.00 –
79.99
80.00 –
99.99
Over
$100
0
5
10
15
20
25
30
35

 How long does it take your order to arrive?
Days Percentage
2-3 days 82.1
4-5 days 14.2
6 days or more 3.7
82.1
14.2
3.7
Percentage
2-3 days
4-5 days
6 days or more
2-3 days 4-5 days 6 days or
more
0
20
40
60
80

 Rate your overall satisfaction with Very Fresh
Satisfaction Percentage
Very Satisfied 18.7
Satisfied 29.1
Neutral 37.6
Dissatisfied 10.7
Very dissatisfied 3.9
18.7
29.137.6
1
0
.
7 3.9
Percentage
Very Satisfied
Satisfied
Neutral
Dissatisfied
Very
dissatisfied
0
15
30

 Do you buy from other organic online home delivery services?
Response Percentage
Yes 68.7
No 27.2
Did Not Respond 4.1
68.7
27.2
4.1
Percentage
Yes
No
Did Not Respond
Yes No Did Not
Respond
0
10
20
30
40
50
60
70

 Which age range represents you?
Age Percentage
18-34 9.8
35-44 32.1
45-54 23.5
55-65 20.4
66 and over 14.2
9.8
32.1
23.5
20.4
14.2
Percentage
18-34
35-44
45-54
55-65
66 and over
18-34 35-44 45-54 55-65 66 and
over
0
5
10
15
20
25
30
35

 In which region of the country do you reside?
Region Percentage
West 26.1
East 32.4
South 17.1
Midwest 24.4
26.1
32.4
17.1
24.4
Percentage
West
East
South
Midwest
West East South Midwest
0
5
10
15
20
25
30
35

Online survey benefits are:
 The cost of collecting and storing data is very
low as the overhead is low.
 Time taken by these surveys is less as well.
 The respondents who answer these questions
have the convenience of doing it at their
leisure time and can stop or start accordingly
(Cunningham et al. 2015).

Disadvantages of conducting
online surveys
 Finding respondents is difficult because there are
many people without internet services
(Benckendorff, Moacardo & Murphy, 2016).
 Cooperation can be a problem as people can delete
the advances made in the study because of infinite
questions.
 There is no professional interviewer who can
generate specific results from the feedbacks which
has been provided (Benckendorff, Moacardo &
Murphy, 2016).

CONCLUSION
 The online survey helped the company by saving both time and cost.
 It allowed the company to reach a large and dispersed population
identifying expectations and preferences.
 It reduces loss of data as information gets automatically entered.
 It allowed manager to guide respondent with root questions that is easy to
track response.
 Easy tabulation electronic data and less interview bias it reduces data
entry errors adding honest responses to research questions

RECOMMENDATIONS
 In order to promote and reach out to wider audience, it is
important to conduct and create survey as per plan and
requirements.
 It is important for respondents to have clear idea about the
purpose of the survey.
 Using close-ended questions and rating scale questions will
help in examine responses better.
 Logical ordering, targeted population and sampling and pre-
testing survey will enhance responses and survey procedure.
 It is necessary to avoid two important things that are biased
questions and us of grids and matrices for responses as it
affects accuracy and responds scales.

REFERENCE LIST
 Bansak, K., Hainmueller, J., Hopkins, D. J., & Yamamoto, T. (2018).
The number of choice tasks and survey satisficing in conjoint
experiments. Political Analysis, 26(1), 112-119.
 Benckendorff, P., Moacardo, G., & Murphy, L. (2016). Contrasting
online and onsite sampling methods: results of visitor responses to a
destination survey.
 Cunningham, C. T., Quan, H., Hemmelgarn, B., Noseworthy, T.,
Beck, C. A., Dixon, E., ... & Jetté, N. (2015). Exploring physician
specialist response rates to web-based surveys. BMC medical
research methodology, 15(1), 32.
 Dijkman, R. M., Sprenkels, B., Peeters, T., & Janssen, A. (2015).
Business models for the Internet of Things. International Journal of
Information Management, 35(6), 672-678.

THANK YOU