MakeInSurvey: Analyze eCommerce Service

MakeInSurvey Analytics for

E-Commerce Companies

The e-commerce business has become highly competitive from last couple of years.

In such cases, its important for the e-commerce sector to ensure that there business strategies are highly aligned to customer needs, buying behavior, area of interest.

Understanding that customer is the most important stakeholder in your business journey, e-commerce businesses should not assume that keeping the channels of communication open is an indication that customers will engage.

MakeInSurvey holds great potential to leverage Customer Survey analytics

“ Online stores can visualize customer buying behavior and ever-changing market needs. ”

“ Increase conversion rate and customer loyalty. ”

How MakeInSurvey can help you understand the E-Commerce Customer Analytics ?

The analytics helps your management team to gain deeper insights into a customer’s profile, regarding their likes, dislikes, determine what attracted them to the website, their preferences and the devices that they use for accessing the your e-commerce website.

Measure Consumer Experience

Using MakeInSurvey, you can conduct various surveys for your E-Commerce platform like,

1 Consumer Buying Behavior Survey

2 Consumer Net Promoter Score Survey

3 Consumer Engagement Survey

4 Consumer Fashion Deals Survey

5 Shopping Experience Survey

6 Consumer Grievance Survey

7 Consumer Satisfaction Survey
and many more ..

Analyze Net Promoter Score for your e-commerce platform service:

Understand what percentage of your consumers are in promoter category. That is, who really wants to promote your platform service with the word-of-mouth within their connection network.
Analytics will help you understand the referral traffic from different sources for your e-commerce platform service.

Analyze Customer Buying Behaviour:

Analytics will help your marketing team to learn about customer behavior and analyze thier historical purchases for any products and accordingly recognize their purchasing patterns.

Determine the Strategies to Sell the Right Products:

On a certain day or a particular time of the week, you might want to focus on a specific product that you want to sell to garner sales.
This analytics helps you to determine the requirements of the customers. Use this knowledge to encourage them to buy the products.
Accordingly, your marketing team can target such products in a different manner so that it can increase sales.

Easily access to meaningul analytics representation

1 Graphical Analysis Report:

+ This gives detailed graphical representation of survey on dashboard.
+ It provides Demographic Analysis, Age-wise Analysis, Bar- Chart, Pie-Chart Analysis for survey and its questions.

2 SWOT Analysis Report:

+ This provides detailed excel report of survey participants who shared opinions for your survey.

2 Raw Analysis Report:

+ This excel report helps you to see raw inputs of survey respondents.

3 Our statistical analytics highlights Net Promoter Score (NPS score) based on audience opinions.

4 Understand what percentage of your Customers are in category of Promoters , Passives, Detractors.

5 Understand what percentage of your Customers are in category of Promoters i.e willing to promote your organization service in market.

6 Understand consumer area of interest to avail new fashion / trending apparels / home & living appliances / mobiles & tabs or other appliances.

7 Take ready analytics of your survey for presentation, HR-staff and Senior members meetings, seminar etc.

8 Avoid paper survey and maintenance cost. Go Digital.

9 Low pricing and manage more survey's at one place.

10 Your surveys are secured and protected efficiently. Drive your target audience by sharing survey as per your needs.

11 Easily access excel based SWOT, RAW analytics representation for your survey.

“ Make Analytics-Driven decisions for your E-Commerce compamy. Avoid gut-instinct and believe on Analytics based decision for E-Commerce company. ”

“ Increase customer loyalty, gain new customers and enrich the personalize relationship with old customers. ”

We believe in our service and would like build strong TRUST with you as well.

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