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Eloqua, but the insight provided was
very subjective and limited to internal
data from Salesforce, Web forms, and
a few other sources.
THE SOLUTION
In December Concur rolled out Infer’s
predictive lead scoring in its small and
midsized business unit in the United
States and Canada. The United States
accounts for 84 percent of the com-
pany’s annual revenue, so it was not a
small-scale deployment.
The Infer solution helps Concur identify and prioritize the
marketing-qualified leads that are most likely to convert to
closed deals. It pulls in thousands of external signals, going
well beyond what most organizations track in their basic CRM
and marketing automation tools.
Infer’s approach combines external qualification/fit data,
such as whether a company has relevant job postings or a cred-
ible Web domain, with interest data, including Web site, email,
and event activity, to create two-dimensional lead scoring.
THE CHALLENGE
Concur Technologies processes more than $50 billion in
travel and expense spending per year for more than 23,000
clients in 150 countries. The company, which is based in
­Bellevue, Wash., was purchased by SAP late last year for
$8.3 billion, making it the biggest acquisition to date for the
German vendor of enterprise software.
Many analysts at the time said that Concur was overvalued,
so the pressure was on for the company to perform. Revenue
reached roughly $700 million in 2014 and was expected to
increase 28 percent this year.
“It was really about scaling our revenue,” says Greg Forrest,
director of marketing operations and demand central at Concur.
“Our revenue goals are constantly increasing, and we realized
our biggest growth opportunity would come from marketing.”
Concur has been growing quickly. It has more than 27 mil-
lion users worldwide, along with an expanding suite of inte-
grated cloud-based travel and expense management solutions.
Fortunately, it has seen the number and types of prospects
increase exponentially and needed to more quickly and effec-
tively score marketing leads as it scaled. Its marketing team
had been using conventional lead scoring through Oracle
Greg Forrest,
director of marketing
operations and demand
central at Concur
Concur Agrees on Infer
Infer’s predictive lead scoring helps Concur close more deals more quickly
CONCUR
THE ELITE
Concur tried out several other systems for about a year
before finalizing a deal with Infer. Once it gave the company
serious consideration, it “looked too attractive” not to roll
out, Forrest recalls.
“The way Infer is able to connect the data and provide it in
simple, numerical scores fits nicely into our operations,” he adds.
According to Forrest, Concur runs 14 different scoring sys-
tems across all of its worldwide operations, and “Infer relieved
a lot of the strain we were having on our other systems.”
“It’s just a really good, stable tool for us,” he concludes.
 —Leonard Klie
Each lead is then automatically given a rating, which sales
and marketing teams can use for strategic account planning,
demand-generation optimization, and cross-selling initiatives.
By adding predictive scoring, Concur has found 5,000
previously unidentified marketing-qualified leads in its data-
bases, which led to dramatic increases in its run rate. The
marketing team tripled the number of leads it converted to
closed deals and increased conversion rates by 150 percent,
from 0.8 percent to 2 percent. In addition, by using the scores
to identify cross-selling opportunities, the company boosted
closed deals for new solutions by 76 percent.
“We’re finding leads a lot quicker and getting them into
the pipeline a lot faster,” Forrest states proudly, “and we’re
closing at a much higher rate.”
Based on the results Concur has seen in the first six months,
the company is expanding the Infer solution to its cross-­
selling and upselling activities, account scoring, and direct
marketing. Those moves “are in motion now,” Forrest says.
“We’re also looking to add it to sales opportunity scoring.”
Once all that is completed, Concur will likely extend the solu-
tion beyond the SMB business unit and to other countries.
real results
•	Five thousand marketing-qualified leads were uncovered in its
database, leading to a dramatic run-rate increase.
•	 The number of leads converted to closed deals tripled.
•	Conversion rates increased by 150 percent, from 0.8 percent to
2 percent.
•	 Closed deals for new solutions were boosted by 76 percent.
This article is reprinted from the August 2015 issue of CRM magazine, published by Information Today, Inc. Used with permission. All rights reserved.
Individuals may download, store, and print a single copy. All commercial uses, including making printed copies for distribution in bulk at trade shows or in
marketing campaigns and all commercial reprints require additional permission from the publisher. www.infotoday.com

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Infer_Case_Study_Concur

  • 1. REPRINT Eloqua, but the insight provided was very subjective and limited to internal data from Salesforce, Web forms, and a few other sources. THE SOLUTION In December Concur rolled out Infer’s predictive lead scoring in its small and midsized business unit in the United States and Canada. The United States accounts for 84 percent of the com- pany’s annual revenue, so it was not a small-scale deployment. The Infer solution helps Concur identify and prioritize the marketing-qualified leads that are most likely to convert to closed deals. It pulls in thousands of external signals, going well beyond what most organizations track in their basic CRM and marketing automation tools. Infer’s approach combines external qualification/fit data, such as whether a company has relevant job postings or a cred- ible Web domain, with interest data, including Web site, email, and event activity, to create two-dimensional lead scoring. THE CHALLENGE Concur Technologies processes more than $50 billion in travel and expense spending per year for more than 23,000 clients in 150 countries. The company, which is based in ­Bellevue, Wash., was purchased by SAP late last year for $8.3 billion, making it the biggest acquisition to date for the German vendor of enterprise software. Many analysts at the time said that Concur was overvalued, so the pressure was on for the company to perform. Revenue reached roughly $700 million in 2014 and was expected to increase 28 percent this year. “It was really about scaling our revenue,” says Greg Forrest, director of marketing operations and demand central at Concur. “Our revenue goals are constantly increasing, and we realized our biggest growth opportunity would come from marketing.” Concur has been growing quickly. It has more than 27 mil- lion users worldwide, along with an expanding suite of inte- grated cloud-based travel and expense management solutions. Fortunately, it has seen the number and types of prospects increase exponentially and needed to more quickly and effec- tively score marketing leads as it scaled. Its marketing team had been using conventional lead scoring through Oracle Greg Forrest, director of marketing operations and demand central at Concur Concur Agrees on Infer Infer’s predictive lead scoring helps Concur close more deals more quickly CONCUR THE ELITE
  • 2. Concur tried out several other systems for about a year before finalizing a deal with Infer. Once it gave the company serious consideration, it “looked too attractive” not to roll out, Forrest recalls. “The way Infer is able to connect the data and provide it in simple, numerical scores fits nicely into our operations,” he adds. According to Forrest, Concur runs 14 different scoring sys- tems across all of its worldwide operations, and “Infer relieved a lot of the strain we were having on our other systems.” “It’s just a really good, stable tool for us,” he concludes. —Leonard Klie Each lead is then automatically given a rating, which sales and marketing teams can use for strategic account planning, demand-generation optimization, and cross-selling initiatives. By adding predictive scoring, Concur has found 5,000 previously unidentified marketing-qualified leads in its data- bases, which led to dramatic increases in its run rate. The marketing team tripled the number of leads it converted to closed deals and increased conversion rates by 150 percent, from 0.8 percent to 2 percent. In addition, by using the scores to identify cross-selling opportunities, the company boosted closed deals for new solutions by 76 percent. “We’re finding leads a lot quicker and getting them into the pipeline a lot faster,” Forrest states proudly, “and we’re closing at a much higher rate.” Based on the results Concur has seen in the first six months, the company is expanding the Infer solution to its cross-­ selling and upselling activities, account scoring, and direct marketing. Those moves “are in motion now,” Forrest says. “We’re also looking to add it to sales opportunity scoring.” Once all that is completed, Concur will likely extend the solu- tion beyond the SMB business unit and to other countries. real results • Five thousand marketing-qualified leads were uncovered in its database, leading to a dramatic run-rate increase. • The number of leads converted to closed deals tripled. • Conversion rates increased by 150 percent, from 0.8 percent to 2 percent. • Closed deals for new solutions were boosted by 76 percent. This article is reprinted from the August 2015 issue of CRM magazine, published by Information Today, Inc. Used with permission. All rights reserved. Individuals may download, store, and print a single copy. All commercial uses, including making printed copies for distribution in bulk at trade shows or in marketing campaigns and all commercial reprints require additional permission from the publisher. www.infotoday.com