whitepages pro signal deck 5.19.2015

Optimize Inbound CallsKushal Shah @kshah24Susie Algard @susiealgardMay 19, 2015Visit our Booth

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55+ MILLION

UNIQUE MONTHLY USERS

30+ MILLION

MOBILE APP DOWNLOADS

20+ BILLION

CALLS/TEXTS IDENTIFIED

1000+CORPORATE CUSTOMERS

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Inbound Calls Explosion

73

42%

billion calls

YoY growth

Source: BIA Kesley Call Analytics study 2014

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Traditional Call Center Optimization

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Only 6% of businesses are satisfied.

Source: BIA Kesley Call Analytics study 2014

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Susie Algard, CEO

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How We Connect

Email Lead Form

Phone Details

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Inbound Call Scenarios

• Hesitant to call back due to incomplete information

• Unable to prioritize contacts

Missed Call

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Inbound Call Scenarios

• No prospect validation

• Difficult to tailor

• Can’t take adequate notes

Busy Broker

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Qualifying Customers in Real Time

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320%

increase in broker

response rates

156%

increase in annual client

volume

SIGNIFICANTDECREASE

in annual client turnover

Optimizing Inbound Calls

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I’m ready to purchase.

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Spam and Scams

7%

$1.6

of incomingcalls are spam

billion lost to consumer fraud in 2013

This is the IRS. We regret to inform

you that you owe...

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The Problem

Businesses are uniquely vulnerable to spam.

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The Problem

Businesses are uniquely vulnerable to spam.

40%

162%

of incoming calls tobusinesses can be spam

YoY increasesince January 2014

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The Solution

High-speed spam detection allows for high-speed decisions

INCOMING CALLS

Phone Reputation

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The Solution

High-speed spam detection allows for high-speed decisions

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NO SCORENo indications of spam activity

LOW SPAM SCORE

MEDIUM SPAM SCORE

HIGH SPAM SCOREConfirmed spam with 97% confidence

Phone Reputation

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The Solution

High-speed spam detection allows for high-speed decisions

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APPROVENo indications of spam activity

LOW SPAM SCORE

MEDIUM SPAM SCORE

DEPRIORITIZE/BLOCKConfirmed spam with 97% confidence

Phone Reputation

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Data Attributes

That Matter

• Carrier

• Line Type

• Prepaid

• Do Not Call

• Location

• Spam Score

Phone Intelligence

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Leveraging Person and Address Data

Line Type

Do Not Call

Prepaid

Spam Score

Address History

Age Range

Gender

Residential or

Commercial

Single or Multiple Unit

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kshah@whitepages.com

susie@officespace.com