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How to Outsell the Competition:The Benchmarking Edge for Successful Sales Execution
Sales Execution is also known as :
Sales Execution,
Marketing Execution,
Improve Sales Execution,
Sales Cycle Improving,
Sales Skills,
Sales Process,
Definition of Execution Sale,
Sales Execution Model,
Meaning of Execution Sale,
Translations of Execution Sale,
Immovable Property Sales,
Process Value Management,
Notice of Sale Execution,
Judicial and Execution Sales,
Fiduciary Sale Restricted,
Sales Force,
Sales Trading,
Outsourced Marketing,
Execution Sales Trading,
Sales Strategy Execution,
Sales Force Execution,
Manager Sales Program,
Sales Execution System,
High-Quality Execution,
Sales Trading Execution,
High-Quality Execution,
Sales Force Performance,
Sales Program Execution,
Manager Execution Sales,
Browse Sales Execution,
Solution Selling Sales,
Sales Delivery Inventory,
Building Sales Plan,
Sales Force Solution,
Selling Sales Execution,
Sales Execution Improvement.
Sales Benchmark Index
Sales Benchmark Index (SBI) conducts the most in-depth ongoing study of sales management
benchmarking and best practice usage in the world. This white paper, brought to you by NetSuite, is
designed to help sales managers succeed by implementing data driven decision-making. Here the
five steps for developing a sales benchmark are identified.
How to Outsell the Competition: The Benchmark Edge for
Successful Sales Execution
By Greg Alexander and Aaron Bartels
Sales Benchmark Index
Introduction to Data Driven Decision Making
Sales benchmarking represents a source of sustained competitive advantage for corporations today. The
second largest cost item on a company's financial statement is SG&A expense which typically represents
30%-40% of revenue. This is second only to cost of goods sold and in some cases three times research
and development. Yet, most corporations today can not calculate the return they are generating for each
sales dollar spent and do not understand how their return compares objectively to their external
competitors. Bringing the discipline of benchmarking to the sales and marketing functions can solve this
problem. The benefit of mastering this technique can be can be found in manufacturing companies using
Six Sigma statistics to benchmark product quality, in finance functions using financial ratios such as return
on equity to benchmark capital efficiencies, or in customer service organizations which gather statistics to
benchmark customer loyalty. Benchmarking the sales function will bring data driven decision making to the
mission critical process of acquiring and retaining customers thus allowing for the deployment of a
continuous improvement program in sales.
How to Benchmark Sales
Benchmarking is a process where companies compare their performance over time against their
competition. You'll find there are areas where you are better than most. You'll also see areas where
significant improvement may be desirable.
The point of benchmarking is to focus your efforts where you can get the best return. The five steps to
performing an operational sales benchmark are identifying your metrics, collecting your data, comparing
and contrasting that data with best practices, planning the focused actions to address gaps, and creating a
strategy for sustainable improvement.
| Step 1 |
Step 2 |
Step 3 |
Step 4 |
Step 5 |
| Metric
Identification |
Data
Collection |
Compare &
Contrast |
Focused
Action |
Sustained
Improvement |
Step 1 - Metric Identification
The first step in executing a sales benchmark is identifying the metrics to measure. The Formula for Sales
Success[TM] assists in selecting metrics as it helps determine the key drivers of an organization's sales
performance.
Each non-constant variable in the equation (Activities, Conversion, Transaction and Talent) is defined in
the company's business terms. For example, how is an Activity defined? Is it a lead? Is it an e-mail, a
phone call, a virtual sales call? Or is it a face-to-face sales call, a proposal or something else entirely? Is it
all of the above? The goal is to identify the key activities currently being performed by the sales team that
have the most significant impact on whether a deal is won tomorrow, next week, next month or next year.
In addition to productivity metrics, there is another non-constant variable " cost " that underscores the
Formula for Sales Success[TM] equation. Benchmarking your sales costs results in a decrease in Selling
Expense just as benchmarking productivity results in an increase in Revenue. By simultaneously doing
both, a firm can significantly boost earnings and its Return on Sales (defined as profit return for each dollar
of new sales generated).
Once each of the non-constant variables has been defined in the company's business terms, it is time to
select the metrics to measure. Appendix A contains a full list of metrics to consider. This list should be
pared to the top 10 - 40 metrics that will make the biggest impact on the organization through internal
measurement, external benchmarking and frequent reviews with the sales team. Use the following
selection criteria as a guide when deciding which metrics to benchmark:
- Relevance to the company's overall sales performance
- Degree to which each can be a leading indicator of sales performance
- Availability of the internal data and effort required to collect the data
- Availability of the external data and effort required to collect the data
Step 2 - Data Collection
Internal data collection. The first objective in benchmarking is to have a detailed, clear understanding of
how the firm is performing internally. The process for gathering data about the chosen metrics is highly
dependent on the individual company and the systems it uses. The information is already in the company
somewhere and though it may take a little digging, it can be found.
Typical sources of information include:
- CRM system
- Finance systems
- Payroll system
- Expense reporting system
- HR systems
- Sales management team.
External data collection. To deliver a sustained competitive advantage, the firm must understand how it is
performing relative to its peers. Armed with internal data, the organization now needs to compare this
information externally to a statistically valid sample derived from the overall population. A population is the
set of all items of interest - for example, all likely voters in the next election or all sales receipts in
November. A sample is a subset of the population that is non-biased and representative of the sample as a
whole. Examples of a sample might be 1,000 voters selected at random for interview or every 100th receipt
selected for audit.
Sales benchmarking uses sampling to draw conclusions about the population as a whole. Sampling is used
because it is less time consuming, less costly, more practical to administer and if done in the proper, nonbiased
manner, it supports statistical results with sufficiently high precision. The data should reflect both
good and bad findings, should be presented in a fair and objective manner and should not use
inappropriate summary measures that distort the facts. Therefore, the key to Step 2 is having a statistically
valid, non-biased sample to compare your organization in relation to peers.
Living in the information age, a monumental storehouse data is available. There are several ways to find a
statistically valid sample for comparison purposes. This report is one example, although this information
can be supplemented with:
- Internet search - points to thousands of sites that have pieces of the needed data - Salary.com or
American Customer Satisfaction Index
- Trade associations - the National Association for Sales Professionals or the Sales Force
Effectiveness Benchmarking Association
- Universities - Harvard University or Georgia Institute of Technology
- Market research - Buzzmetrics or Business Validation Resources
- Research firms - Sales Benchmark Index (SBI)
The goal of data collection is to have a statistically valid sample that will be used in the next step -
Compare and Contrast - where an organization identifies where it is under-performing or over-performing
in relation to its peers and other world-class organizations.
Step 3 - Compare and Contrast
The third step in executing sales benchmarking is comparing and contrasting the internal data with the
external data. There are two sets of inputs - the internal data about the organization's sales force and the
external statistically valid sample.
Before the data can speak, an organization must first transform the raw data into information that can be
compared and contrasted. Two calculations are necessary - identifying the central location and measuring
variation. For measuring central location, it is recommended to use four indicators: the mean, the median
and the 25th and 75th percentiles. For measuring variation, the range and standard deviation are
recommended. These are simple to use and can be simplified by using a tool such as Excel. These six
calculations for each metric allow ease of implementation while still delivering the desired result.
Once the calculations are complete the organization's performance is compared externally against its peers
and internally against history. The illustration below notes performance on a distribution plot which shows
how the company compares to peers and to world class organizations.
On this distribution, a company will plot its mean, median, 25th and 75th percentiles to determine how it
stacks up to the peers and world class organizations. The high and low ends of the computed range will be
compared to the distribution plot above to determine if the company has outliers residing above or below
the 90th and 10th percentile marks. And lastly, the standard deviation is computed to determine how
dispersed the data is. In general, if standard deviation is 1.5 times greater than the difference between the
25th and 75th percentiles, the company should focus on reducing the variation in the current performance. If
the standard deviation times 1.5 is less than the difference between the 25th and 75th percentiles, the
company should focus on moving the entire group at once.
The last piece of the Compare and Contrast step is to quantify the opportunity in terms of increased
revenue or decreased cost if performance is improved to match the peer group. To do this, measure the
company's current revenue at its current performance level and compare it to the revenue produced at the
peer group's performance level.
Step 4 - Focused Action
The fourth step in executing sales benchmarking is Focused Action, where a company develops a plan to
create and sustain a competitive advantage. The organization has identified where it is over/under
performing the market and has quantified the opportunity each area presents. Now that the high return
areas of focus are known, the company needs to put a remedy plan in place and test it over time to
measure its effectiveness, constantly tweaking it to get the results it is looking for. The focus is on reducing
the risk of missing the sales targets and improving the chances of consistently hitting them.
This step is based on hypothesis testing. Hypothesis testing provides managers with a structured analytical
method for making decisions. It lets them make decisions in such a way that the probability of errors can be
controlled, or at least measured. Statistical hypothesis testing does not eliminate the uncertainty in
managerial environments, but the techniques allow managers to identify and control the level of uncertainty.
Methodology for solving business problems:
- Frame Problem
- Develop Hypotheses
- Gather Data
- Test Hypotheses
- Create Solutions
- Develop Plans
- Select Solutions
- Frame the Problem - Define the problem that is being addressed in specific terms.
- Develop Hypotheses - List potential causes for each problem and the key drivers that impact or
influence each cause.
- Gather Data - Gather relevant data, information and background on the key drivers that will allow
each to be proven or disproved.
- Test Hypotheses - Analyze each possible cause to determine if the data proves it is a cause,
effect, unintended variable or irrelevant.
- Create Solutions - For hypotheses that prove valid, identify possible solutions and examine each
solution's feasibility for successful implementation.
- Develop Plans - For viable solution(s), estimate all necessary tasks, investments, milestones,
resource commitments, metrics and returns.
- Select Solutions - Use hurdle rate or other decision-making criteria to determine which solution(s)
should be implemented.
Step 5 - Sustained Improvement
The fifth step in executing sales benchmarking is a sustained improvement plan that transitions the project
from a one-time event to being embedded in the operating procedures of the company. Sales benchmarking should become standard operating procedure without replicating the heavy lifting over and
over again - through Statistical Process Control.
Statistical Process Control is a methodology that uses graphic displays known as control charts to monitor
the quality of conformance and level of variation.
Statistical Process Control utilizes a control chart. To create the chart:
- Take data samples over multiple subgroups of time
- Calculate the subgroup mean (x bar)
- Calculate the average of all the subgroup means (x bar bar)
- Plot the subgroup means as a line chart
- Calculate the Upper Control Limit (UCL) and Lower Control Limit (LCL), which should be three
standard deviations from the subgroup mean
In control. A process is said to be "in control" when points are randomly distributed around the centerline
and all points are within the control limits. Below is an example of a process control chart for a process that
is in control:
Out of control. A process is said to be "out of control" if any of the following conditions are true:
- One or more points are outside control limits
- Nine (9) or more points in a row fall on one side of the centerline
- Six (6) or more points move in the same direction
- Fourteen (14) or more points alternate above and below the centerline
Sustained improvement plan. If a process is determined to be out of control, the cause of variation must
be understood. This sustained improvement plan will allow a company to stay appraised of:
- Areas where the firm has developed new advantages
- Areas where the firm has lost its advantages
The basic steps in this Sustained Improvement plan include:
- Appointment of a Sales Benchmarking project manager responsible for ongoing administration and
oversight of the process
- Monthly internal review of company performance
- Monthly review of company performance against a fresh external data source
- Monitoring of Focused Action implementation ensuring expected results are produced
- Monthly monitoring of the benchmarks in the context of Statistical Process Control
The ultimate goal is sustained competitive advantage. After all, your competitors are not going to stand still.
Sales Benchmarking must become a standard operating procedure and part of your long-term strategy for
success.
Case Study
Background
Recently, one of SBI's clients was running what they believed to be a very successful call center. The
organization was growing revenue at over 30% a year and thanks to a very profitable business model, had
net margins approaching 15%. Sales people were being measured on total revenue production per month
and the historical trend of revenue per head was increasing. On the surface, it appeared this sales force
was knocking it out of the park. However, all it took was a quick look under the hood and it was obvious
the organization was falling well short of its potential.
The client was spending approximately $20M a year on marketing campaigns to get the phones to ring with
inbound interest. Depending on the lead source, the cost per inbound lead ranged between $50-$1,000
with the average around $200 per lead. The cost per lead closed ranged between $1,000 to $10,000 per
transaction with the average around $2,500. The company was not measuring sales person efficiency in
closing leads and therefore was unaware of how many quality leads were being lost in the process. With
each close representing annual recurring revenue valued around $10,000 per year with 50% gross margins,
the company didn't question the cost to acquire each customer and was unaware they could be doing
much better.
This is the classic example of the mistakes typical organizations make when deploying benchmarking
principals. They measure performance internally and historically and settle for performance that is well
below average.
Benchmarking Phase 1 - Internal / Leading:
The first phase of rolling out an improved benchmarking approach was to measuring leading indicators of
sales success. This company rolled out the tracking the following metrics for each call center rep:
- Number of inbound calls taken
- Number of outbound calls made
- Number of appointments made
- Number of appointments kept
- Call to appointment conversion rate
- Appointment to close conversion rate
- Average deal size
- Total sales revenue
Immediately after deploying the new metrics, the company found that well qualified inbound leads, which
were easy to close with a little follow-up, were being cast aside and wasted. Because the phone was
ringing often enough, the call center reps were not required to follow-up under the old system. They could
just take a call, go for the "one call close" which would happen frequently enough that each rep could
achieve his or her quota. There was no need to put forth the additional work to follow-up on leads requiring
a couple calls to close. Management had no idea this practice was taking place and was appalled to find
that much of the $50-$500 the company was spending each time the phone rang was being squandered.
In addition to rolling out the new metrics, the compensation plan was changed to reward call center rep
efficiency. The -lead burners- who had close rates below 2% were penalized, while those who made the
most of their leads ?? demonstrating at least a 4% close rate ?? were rewarded. With the new metric
measurement program and revised compensation plan, revenue production grew by 35% within 3 months
while headcount remained constant. The $2,500 marketing cost per close had quickly shrunk to $2,000
and profitability was nearly 20%, up from the previous 15%.
Benchmarking Phase 2 - External / Leading:
The company was delighted with its performance and compared to history it was setting new records for
itself. But, there was still much work to do. An external benchmark revealed that the activity of the call
center reps was 30% below the benchmarks, and conversion rates were 50% below where they should
have been. A time study was launched that revealed that call center reps were not making productive use
of their days and too much time was being spent sending out customer information for each caller. These
inefficiencies were easily addressed with the implementation of best practices tools giving call center reps
the time they needed to make their daily call volumes. To close the gap on the close rates, the goal was
adjusted from 4% to 8% for reps to achieve their commission accelerators. This goal re-alignment drove
more diligent follow-up, which increased the close rate to the goal within 12 months. The result of
benchmarking was a much greater return on the $20M marketing spend. The cost per closed lead dropped
from $2,500 to $1,000 in just over a year, helping the profitability of the company grow from 15% to over
20%.
As seen here, applying such metric-based methodologies to the sales department will produce dramatic
results.
For more information and updates on sales effectiveness benchmarking, please subscribe to the
SBI newsletter at www.salesbenchmarkindex.com.
Appendix A: Sales Metrics
Sales and Marketing Metrics
- Sales Growth Rate
- Annual Sales Quota Amount
- Sales Quota Attainment
- Sales Productivity Per Sales Rep
- Sales Deal Size
- Sales Goals
- Number of Sales Goals per Rep
- Rep Gap to Goal
- Sales Variance
- Sales Volume Variance
- Sales Price Variance
- Number of Accounts in Territory
- Sales Force Size
- Annual Sales Head Count Increase/Decrease
- Sales Headcount by Role
- Sales Support to Sales Rep Ratio
- Sales Manager to Sales Rep Ratio
- Tenure Breakdown of Sale Force
- Years of Sales Experience per Sales Rep
- Years of Industry Experience per Sales Rep
- Annual Sales Turnover Rate
- Time to Backfill Rep
- Recruiting
- Ramp Time to Full Sales Productivity
- Sales Rep Time Allocation
- Sales from Top 10% of Sales Force
- Sales from Top 20% of Sales Force
- Variable vs. Fixed Sales Compensation Rate
- Inside vs. Outside Revenue Contribution
- Inbound Leads vs. Outbound Leads
- Number of Sales Leads
- Number of Sales Calls
- Number of Sales Appointments
- Number of Sales Proposals
- Sales Lead to Call Conversion Rate
- Sales Call to Appointment Conversion Rate
- Sales Leads Rated as Qualified
- Sales Appointment to Proposal Conversion Ratio
- Number of Hours to Generate Proposal
- Forecast Accuracy
- Proposal to Close Sale Conversion Ratio
- Number of Sales Activities to Close Sale
- Sales Cycle Length
- Deals Requiring Cost Justification
- Deals Issued via RFP
- Number of Influencers per Deal
- Number of Decision Makers per Deal
- Reason Customers Purchase
- Solution to Product Sale Ratio
- Deal Type
- No Decision Deal Ratio
- Win/Loss Ratio
- Number of Customer Sales
- Number of Units Sold
- Close Rate
- Discount Levels
- Payment Terms Offered
- Training Budget
- Training Budget Spent on Product vs. Sales vs. Business
- Training Hours per Rep
- Reps Achieving 90% or Greater on Sales Training Tests
- Cost of Sales
- Sales Budget Allocation by Category
- Sales per Call
- Cost per Call
- Cost per Rep
- Cost per Prospect
- Cost per Sale
- Return on Sales
- Return on Sales By Sales Unit
- Net Sales Contribution
- Breakeven Analysis
- Cost of Advertising
- Advertising Budget Allocation by Category
- Cost of Marketing
- Marketing Budget Allocation by Category
- Marketing Headcount
- Program Response Rates
- Program Return
- Cost per Lead
- Marketing to Sales Lead Follow up Service Level
Agreement
- Sales Lead Generation Source
- Sales by Channel
- Price
- Customer Satisfaction
Sales and Marketing Metrics Combined with Company Metrics
- Gross Revenue
- Gross Margin
- Net Margin
- Sales from Products Introduced in Last 12 Months
- New Business vs. Existing Customers
- Customer Churn Rate
- Revenue Per Existing Customer
- Revenue Per New Customer Acquired
- New Customer Gain
- Customer Acquisition Cost
- Customer Net Margin
- Customer Gross Margin
- Customer Life Time Value
- Customer Payment Performance
- Sales Activity Based Costing
- Profitability
- Customer Profitability
Sales Force Metrics combined with External Market Metrics
- Market Demand
- Market Growth Rate
- Market Share
- Market Share Gains
- Market Penetration Rate
- Market Penetration Rate by Product Line
- Causal Forecast
- Share of Customer
Creating the Metrics You Need to Benchmark Your Sales Success
In order to analyze and act upon the metrics you select for your sales effectiveness benchmarking, you will
need to identify, track and report on them. And true sales effectiveness surpasses simple opportunity
management. Of course you want to collect the metrics about prospects before they become customers,
but those metrics only encompass less than a quarter of the full customer lifecycle. Here we look at that
entire lifecycle to ascertain the critical metrics you will want to focus on to improve your sales effectiveness.
First, you need to automate all parts of the customer life cycle. This ensures that you can systematically
capture the data for the metrics you have identified. You will want to maintain all the sales information from
a "suspect" browsing your business Web site, to an interested lead, to a qualified prospect, to a customer
who has actually placed an order, to servicing that customer and finally, to guiding that customer to repurchase.
If you are an ecommerce company, you can begin by incorporating your Web site into the
selling process, by tracking all customer interactions on the Web and by providing a comprehensive selfservice
customer portal. You will want to automatically capture campaign data from all aspects of your
marketing programs - such as your e-mail, online advertising, and traditional marketing lead generation
programs - for use in your relationship management processes and decision making. Automation allows
data to be entered once at its source and not require re-entry or export into hard-to-use and inaccurate
spreadsheets.
SBI cites the following typical sources of information as places to begin gathering data:
- CRM system
- Finance systems
- Payroll system
- Expense reporting system
- HR systems
- Sales management team.
and they point out that it may take some digging. This is where the clear advantage of an integrated
business management system is apparent: rather than looking at six separate sources for data that may
prove inconsistent or nonexistent, with one single integrated suite, you can see across all business
functions and have one consistent version of "truth."
Good win-loss metrics come from in-depth analysis of your sales opportunities. Of course, this assumes
you can view all your opportunities, can easily assign different priorities to opportunities, customers and
leads, and give your sales managers a 360-degree view of all the leads and opportunities in the pipeline.
You need accurate metrics to analyze the deals your competitors have won against your team, according
to dollar and percentage amounts.
Most sales executives look at key performance indicators (KPIs) such as open opportunities, opportunities
won and opportunities lost compared against past sales periods to provide real-time forecast metrics. You
need to quickly see the most current pipeline, forecast and quota data and compare these in a single chart.
You may also want to see an instantaneous breakdown of bookings (sales based on orders) versus billings
(sales based on invoices). In addition, with NetSuite for example, you can also create your own KPIs to
measure other things important to measuring your sales success.
And if you are an ecommerce company that provides goods or services over the Web, look for a solution
that enables you to drill-down to any customer record and see a complete history of that customer's
activities on your website, seeing exactly what pages he or she has visited, how often, and even the page
currently being viewed. With this kind of functionality, not only can you view the exact shopping cart
contents of each of your shoppers, including the date each item was added, you can create marketing
campaigns that are sent to customers based on their site activities - with the knowledge of what was
successful at targeting that customer in the past.
Metrics gleaned from forecasting give valuable insight into the effectiveness of your teams, and your
individual team members. A brief example of data most companies insist upon to begin to gather that
insight, include:
- Sales by Sales Rep analyzed by Sales Period
- Forecast vs. Quota vs. Bookings
- Forecast versus actual by Sales Rep analyzed by Class, Department or Location
- Forecast versus actual by Item (Product or Service)
- Sales Pipeline (Projected and Weighted) versus actual by Sales Rep
- Pipeline By Status analyzed by Sales Period
- Open and Closed Opportunities
- Won and Lost Opportunities
- Sales-to-Pipeline ratio
- Sales by customer segment
NetSuite, an integrated on-demand business management solution that includes all accounting/ERP, ecommerce,
and customer relationship management (CRM), provides all this data in built-in reports that
provide detailed forecast analysis. In addition, ad hoc reports can be built and saved for repeated use using
NetSuite's reporting tools. Because actual booked orders can be seen in forecasts, your forecasts have
greatly increased reliability, predictability and accuracy.
A key metric source in NetSuite is the important intersection of customers and the orders they place. This
order management capability also allows sales people to work a deal through the pipeline, right through to
the actual close, allowing their management to see booked orders in your forecast, greatly increasing its
reliability, predictability and accuracy. Thus, the "actuals" information in "forecast vs. actual" reports is
based on real sales data.
Order management data is the key metric in ascertaining ROI. Because CRM systems often do not
capture the details of what a customer has actually purchased, they provide incomplete and inaccurate
results for marketing and sales decision-making. With no real record of what or how much has been
ordered by each customer, marketing has no way to know if the leads generated are actually converting to
customers nor the value of the customer to which they convert.
Metrics for Management
Metrics are important to all levels of the sales organization - the sales reps want to see how they are doing
against their compensation plans (in real-time), and sales management wants the ability to see the details
as well as the big picture. Thus, the delivery of metrics in a useable fashion is essential. It is critical to see
the status of key open deals so you can proactively put the right resources on the right prospects to close
more deals faster. You want to view the top deals outstanding for a given sales period, your sales funnel
portrayed as pipeline by status, your top customers or even your worst performing sales reps to determine
which "current deal" metrics may make sense in evaluating for overall sales effectiveness analysis. And of
course, the ability for total visibility across the entire sales organization allows you to select those metrics
that most make sense for you. The Sales Management portlet on NetSuite Forecast Dashboard, as one
example, provides a single, hierarchical view of the sales organization that can be expanded to show
details down to individual reps or can be rolled up for summary views of each sales team, by manager, by
geographical region, or by country to provide an all-encompassing view of all sales performance at every
level.
The NetSuite Advantage in Providing Sales Effectiveness Metrics
NetSuite provides a true 360 degree view of all customer data and customer interactions, including
complete visibility into all financial transactions and website interactions without any integration required.
Now a single view of customer information is available to everyone in your company who needs it. This
means all the data about all opportunities, leads, prospects, sales activities, sales teams, customers, items
purchased and repurchased, campaign status, and much much more is available for you to use in selecting
you own key performance indicators for your benchmarking metrics. And because NetSuite is an ondemand
system, all the data behind your metrics selected is available in real-time, providing timely
accurate information for your benchmarking use.
About SBI:
Sales Benchmark Index, is the research, training, and consulting company leading
organizations turn to when in search of cost effective revenue growth through
benchmarking sales performance. We help thousands of sales managers overcome their
most significant challenges that affect sales management effectiveness. SBI has the data,
expertise, and tools to move you quickly from diagnosis, implementation, and results.
Typical problems we solve include:
- Quota Attainment
- Talent Optimization
- Quality Lead Maximization
- Sales Cycle Reduction
- Increasing Product/Service Differentiation
About NetSuite
NetSuite, Inc. is the leader in on-demand business software suites. NetSuite enables companies to
manage all key business operations in a single system, which includes accounting/ Enterprise Resource
Planning (ERP), Customer Relationship Management (CRM), and ecommerce. NetSuite is delivered as an
on-demand service, so there is no hardware to procure, no large, up-front license fee, and no complex setups.
For more information about NetSuite, visit: www.netsuite.com
By Greg Alexander and Aaron Bartels