Call us: +1-650-283-1644
info@bizdata360.com
BizdataBizdataBizdataBizdata
  • Platforms
    • eZintegrations™
    • Bizintel360™
  • Solutions
    • eZintegrations™ Solutions
      • NetSuite to Oracle Planning Cloud
      • Oracle ERP Syn with EpiServer Ecommerce
      • Supplier Vendor Portal with ERP
      • Oracle and Biometric Systems Integration Platform
      • Salesforce to NetSuite Integration
      • Salesforce to Snowflake
      • Clickstream to Amazon Redshift
    • Bizintel360™ Solutions
      • Health Information Exchange
      • ERP Data Archival
      • Netsuite Planning Analytics
      • Supplier MDM
      • NetSuite Analytics Solution
      • Digital Marketing Analytics
      • Field Sales Analytics
      • Bizdata Vault
      • Augmented Cloud Data Hub
  • Partners
    • Partner Program
    • Become a Partner
  • Support
  • Learn
    • About Us
    • Bizintel360™ Free Trial
    • Blogs
    • eZintegrations™ Free Trial
    • Community
    • Case Studies
    • Demo Gallery
    • Downloads
    • Things To Know
      • How to Connect and Automate with iPaaS
      • What is iPaaS
      • PowerBI
  • Login
  • Try for Free

Field Sales Analytics: What to measure and why?

    Home Blog BigData Field Sales Analytics: What to measure and why?
    NextPrevious

    Field Sales Analytics: What to measure and why?

    By Rohit Mathur | BigData, Blog | Comments are Closed | 26 August, 2020 | 21

    Sales analytics is the technique of understanding the past and the future predicaments of the sales to manage its performance.

    It is the practice of closely analyzing the sales analytics to ascertain revenue outcomes and set targets for the sales team. It helps in predicting future sales by determining the success of the previous sales.

    How does sales analytics help?

    It primarily focuses on the improvement and the development of a strategy for improving your sales performance in the long run and short run. A good sales analytics strategy provides focus and clarity to the team.

    Why should you keep a check on sales analytics?

    Examining sales analytics with the help of the right sales metrics will not only boost the performance of sales in a company but also upgrade its sales activities and accountability. Through this, a sales team can perform in a fast-paced environment and focus on a wide range of activities carried out by them.

    Sales analytics reports and dashboards

    Sales specific data analytics is tricky when it comes to data transparency. The sales analytics team can use tools and platforms to show actionable data on a sales dashboard which will be direct, insightful and will give a clear message.

    Focus areas to track for meaningful sales analytics

    To implement data analytics in an organization, taking stock of the sales metrics is an essential feature. The following examples will help improve the sales analytics metric.

    Sales Increment – Sales analysis is based on the ability of an organization to raise revenue. Even a small error in the trend line will be problematic.

    Target Sales – It measures the current performance of a business against the set targets. Sales can be represented in the form of revenue earned or the number of units sold.

    Sales Opportunities – It is based on the chances of closing the sale and the opportunity value. There is an estimated purchase value that helps the team to accentuate and strengthen their efforts.

    Sales to Date – It helps you to measure the total sales in the past year and compare the results with the previous periods and help to get a sense of historical trends.

    Product Performance – It is based on revenue performance to find out which products are doing well in the market. Also, it helps to find out those products which have failed to impress the customers.

    Lead conversion Rate – Conversion analysis can help teams improve performance to improve customer experience.

    Sell-through rate – When selling tangible goods, it becomes important to track your sales and the total inventory. It helps in sales forecasting.

    Cannibalization rate – Selling a new product may sometimes have an adverse impact on the sale of an existing product. Hence, it is important to track product cannibalization in sales analytics to improve the customer experience.

    Quote-to-Close – It is a sales productivity metric that reveals the effectiveness of the team in closing a deal. It helps to assess the eminence of the sales process.

    Sales per Rep – Sales per sales representative – Senior and experienced representatives usually perform better than junior representatives, so predicting this analysis is critical to future growth prospects.

    Average Purchase value – To increase the sales revenue efficiently, the average purchase value of each sale needs to rise. A good strategy is to track historical trends and incorporate this metric in your analysis.

    Sales by Region – Even multinational corporations have regional variations in their revenue and sales. Tracing this metric will help in finding out those markets in which your product is more profitable and competitive.

    Bizintel360, Data Analysis, Data Visualization, Prediction Analysis

    Rohit Mathur

    More posts by Rohit Mathur

    Related Post

    • How Big Data Analytics can drive Product Innovation in highly competitive markets?

      By admin | Comments are Closed

      In our ultra-connected world of smart devices and the Internet everywhere, the explosion of data from a dizzying variety of sources has created a unique challenge that any business can turn into an opportunity. MostRead more

    • Analytics Visualization

      Analytics Visualization with Varied Data Sources

      By admin | Comments are Closed

      Data coming from various sources are of varied nature and are from different vendors. Some data resides in Oracle Database, Some in Salesforce, some in SAP to Teradata and some in form of text andRead more

    • Business Intelligence Solution

      What a Business Intelligence Solution should look like in 2021!

      By admin | Comments are Closed

      Organizations, Tech enthusiasts and BI experts have all been waiting for a path defining change in the Data Analytics space. We have spoken to a lot of customers and come up with a list ofRead more

    • Bigdata For Business

      Why Big Data is Essential for Your Business & Why you should adopt it

      By admin | Comments are Closed

      Let’s face it. With the evolving business landscape & constantly changing technology, a business faces numerous challenges when it comes down to taking, time & mission-critical business decisions. Making sure that the right info isRead more

    • BigData Analytics FMCG

      10 Ways a Big data Analytics Solution turns profitable in the FMCG industry

      By admin | Comments are Closed

      Organizations generate large amounts of data every day. However, only a few of them are able to extract useful information. Why only a handful, because these organizations follow a business intelligence strategy that harnesses knowledge.Read more

    NextPrevious

    Recent Posts

    • API Integration: A Guide to Connecting Multiple APIs
    • The Top 5 Benefits to Working with a HIPAA-compliant Software Company
    • Data Silos: How SaaS Companies are Solving the Problem with iPaaS
    • 2023: A Year Beyond Digital Transformation
    • The Top 10 SaaS Community Sites You Should Be Following

    Recent Comments

      Tags

      Advancedanalytics (1) Advanced Analytics (13) Analytics (3) Artificialintelligence (2) artificial intelligence (1) Augmented Analytics (3) Automaker (1) automotive (1) BigData (2) Big Data (7) Big Data analytics (5) big data services (1) Bizdata (2) Bizintel360 (7) Business Intelligence (7) CEO (1) Citizen Data Scientists (2) Data (2) Data Analysis (15) Data Analytics (12) Data Forecasting (13) Data Integration (14) data lake (2) data sources (1) Data Visualization (20) Demandestimates (1) Demandforecasting (1) demand planning (1) digital transformation (3) ecommerce integration (1) Finance Integration (1) Financial Integration (1) Food Wastage (1) Integrated Data Analytics (3) iPaaS (5) key reasons (1) no code (1) pharma (1) Prediction Analysis (9) Predictive analytics (2) Product Analytics (5) Self service analytics (3) supply chain analytics (1) System Integration (2) use cases (1)

      Platform

      • Bizintel360™
      • eZintegrations™

      Solutions

      • Clickstream to Amazon Redshift
      • Digital Marketing Analytics
      • Field Sales Analytics
      • Oracle and Biometric Systems Integration Platform
      • Salesforce to NetSuite Integration
      • Salesforce to Snowflake

      Community

      • Blog
      • eZintegrations Contact Us
      • Downloads
      • Support
      • Demo

      Contact us

      Phone Number : +1-650-283-1644

      Email Address : info@bizdata360.com

      • Home
      • About Us
      • Privacy Policy
      • Terms and Conditions
      • Recruitment Fraud Alert
      © Copyright 2018-2023 Bizdata Inc. | All Rights Reserved
      • Platforms
        • eZintegrations™
        • Bizintel360™
      • Solutions
        • eZintegrations™ Solutions
          • NetSuite to Oracle Planning Cloud
          • Oracle ERP Syn with EpiServer Ecommerce
          • Supplier Vendor Portal with ERP
          • Oracle and Biometric Systems Integration Platform
          • Salesforce to NetSuite Integration
          • Salesforce to Snowflake
          • Clickstream to Amazon Redshift
        • Bizintel360™ Solutions
          • Health Information Exchange
          • ERP Data Archival
          • Netsuite Planning Analytics
          • Supplier MDM
          • NetSuite Analytics Solution
          • Digital Marketing Analytics
          • Field Sales Analytics
          • Bizdata Vault
          • Augmented Cloud Data Hub
      • Partners
        • Partner Program
        • Become a Partner
      • Support
      • Learn
        • About Us
        • Bizintel360™ Free Trial
        • Blogs
        • eZintegrations™ Free Trial
        • Community
        • Case Studies
        • Demo Gallery
        • Downloads
        • Things To Know
          • How to Connect and Automate with iPaaS
          • What is iPaaS
          • PowerBI
      • Login
      • Try for Free
      Bizdata