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contact centers, depicted as “best-

in-class,” outpaces all others, includ-

ing year-to-year improvements in

revenue, retention, satisfaction, cost

per customer contact, first call reso-

lution and number of SLAs met.

All told, Aberdeen cites three main

categories of performance benefits

that intelligent contact centers pro-

vide. For starters, they enjoy superior

customer experience results indicated

by the ability to decrease the number

of customer complaints year over year

(7.9 percent for best-in-class vs. -1.0

percent for all others).

“As such, they observe substan-

tial annual growth in customer re-

tention rates and customer lifetime

value,” argues Minkara.

Secondly are the benefits that

relate to operational results, includ-

ing metrics such as agent utilization,

number of quality SLAs met and aver-

age handle time. “Managing opera-

tions to improve these KPIs ultimately

help contact centers reduce customer

service costs,” continues Minkara.

Aberdeen figures show “that

intelligent contact centers maximiz-

ing operational efficiencies reduce

service costs by 5.2 percent year-

over-year, compared to 1.1 percent

increase by all others,” said Minka-

ra’s research report. Put together,

the results suggest that intelligent

contact centers improve the cus-

tomer service experience while

simultaneously lowering customer

service costs.

Even better, the third area of

benefits is financial results. Aber-

deen figures suggest that companies

with best-in-class contact centers

enjoy more than twice the year-over-

year growth in annual company rev-

enue than the all others group (12.7

percent vs. 5.6 percent).

The Cornerstones

of Intelligence

So how does a company deter-

mine the IQ of its customer support

resources? Aberdeen researchers

have identified four building blocks

that businesses can use to help

construct a performance-enhancing,

intelligent contact center.

Being that customer support

resides in an omni-channel world,

where multiple systems (CRM, ACD,

IVR) and channels (phone, SMS, live

chat, email) are integrated across

the enterprise and experience to

provide a unified view of the cus-

tomer, it’s no surprise that the first

building block is the seamless flow

of data across the organization, or

workflow optimization. And one of

the primary upsides of workflow

optimization is a personalized cus-

tomer experience.

In turn, intelligent contact cen-

ters are 31 percent more likely to

use customer contact data to direct

customers to the appropriate chan-

nels, show Aberdeen surveys. “This

is done by using ACD data in com-

bination with account data within

the CRM system to optimize cus-

tomer routing,” Minkara explained.

Companies also can build spe-

cific workflows so clients within

higher-spending categories are

quickly connected to a high-touch

channel (i.e. phone) without having

to go through IVR, or a workflow

can route clients to a preferred

support channel, assuming that

information is available within the

CRM platform. Companies with

intelligence contact centers also

are 61 percent more likely to route

support interactions based on com-

plexity, showed Aberdeen.

Beyond customer interaction,

optimized data flows can help busi-

nesses streamline operations, such

as with agent scheduling. Aberdeen

found that intelligent contact centers

are 77 percent more likely than all

others to use self-service data when

forecasting agent demand across all

channels, meaning companies active-

ly monitor the number of customers

using self-service portals such as a

website, IVR or an online community,

and apply this insight when project-

ing agent demand across channels.

The next principal component

of intelligence in the contact center,

says Aberdeen, is the empowerment

of agents.

“Data shows that intelligent contact

centers truly understand the impor-

tance of empowering employees with

timely and relevant insights needed to

do their jobs,” said Minkara.

Source: Aberdeen Group

Performance of Intelligent Contact Centers Outpace “All Others”

Year-over-year percent change

14%

12%

10%

8%

6%

4%

2%

0%

-2%

12.7%

5.6%

9.9%

4.0%

8.5%

3.2%

8.3%

7.9%

5.2%

-1.8%

-1.0%

-1.1%

Annual

company

revenue

Customer

retention

Customer

lifetime value

Number of

quality SLAs

met

Improvement

in number of

customer

complaints

Improvement

in average cost

per customer

contact

Best-in-Class

All Others

12

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