Sales Force Automation CRM Solutions
Each of these sales force
automation CRM solutions are grounded in best practices collected from hundreds of thousands of sales professionals supported over three decades. You will increase the velocity of your sales cycle, eliminate sales bottle necks and maximize your sales team’s effectiveness in less than 30 days.
Baker Sales Systems will help you:
- Significantly expand
the capacity of your sales, marketing and
business development teams
- Improve the
efficiency of your sales prospecting funnel
- Dramatically decrease
your sales cycles
- Promote selling
clarity, motivation and sales proficiency
- Expand the geographic
reach of your marketing, sales and customer
services organizations
- Dramatically reduce
the time required to roll out sales improvement
initiatives
The top 10 CRM analytics buzzwords
CRM analytics encompasses all programming that analyzes and
presents customer data, with the goal of better enabling
organizations to make business decisions. CRM analytics can
provide customer segmentation, profitability analysis,
personalization, event monitoring, what-if scenarios and
predictive modeling. CRM analytics is said to improve customer
relationships and supply chain management in many scenarios, and
often results in lowered costs and prices.
• Customer relationship analysis (CRA) is the actual process of
collecting and analyzing data about customers in order to better
understand their relationship to the organization, improve sales
and customer service and reduce costs. CRA is a form of online
analytical processing (OLAP) and can employ data mining.
• OLAP, or online analytical processing, is a type of computer
processing that allows a user to extract and view data from
multiple points of view. A user wanting to analyze CRM data
might perform OLAP in order to do a specific, interactive
analysis of the data.
• Web analytics is the process of analyzing the behavior of
website visitors, and is often used as part of CRM analytics.
Web analytics is usually used by companies looking to retain or
attract more online visitors and/or increase online spending.
Web analytics tools can monitor the geographical regions of
visitors, track clickthrough and drilldown behavior, monitor
purchases and predict the future purchases of customers.
• Web mining is the integration of information extracted through
traditional data mining techniques with information gathered on
the Internet. Web mining is used to analyze patterns using three
techniques: content mining (used to examine data collected by
search engines), structure mining (used to examine data related
to a particular website) and usage mining (used to examine data
related to a specific user's browser). In CRM, Web mining is
often used to help companies better understand customer behavior
and evaluate the successfulness of a marketing campaign or a
website.
• Clickstream analytics is the process of collecting and
analyzing data about which pages website visitors visit, and
what order they visit them in. Clickstream analysis is split
into two levels: traffic analysis and e-commerce analysis.
Traffic analysis collects clickstream data based on the user's
experience with the website (how many pages the user sees, how
fast they load, etc.). E-commerce analysis uses this clickstream
data to determine site effectiveness.
• Predictive analytics focuses on predicting future
probabilities and trends. The "predictor" is the variable used
to predict future behaviors, and is the main element of a
predictive analytics tool. In CRM, predictive analytics is often
used to predict customer behavior.
• Speech analytics mines customer calls for data, providing
insight into customer behaviors. Often used in the call center,
speech analytics can be used to reduce operating expenses,
improve customer experience, increase revenue and reduce
customer attrition. Speech analytics data can also be used to
improve up-sell and cross-sell opportunities and establish
targeted marketing campaigns.
• Text analytics obtains and analyzes unstructured, text-based
customer data from customer surveys and text-based customer
interactions. As Web 2.0 technology and social networking gains
in popularity, some experts suggest that text analytics may take
on a greater role in helping companies analyze their customer
relationships.
• Real-time analytics allows users to analyze available data in
real time or near real time. Real-time analytics is often used
in CRM analytics, letting users track and manage customer
behaviors as they occur. Real-time analytics is most often used
between call centers and marketing departments.
Source: Unknown author
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Sales Systems can improve your bottom line.
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