Marketers spent more than $78B to generate phone calls in 2013. Calls matter.
What are the differences between the calls that resulted in a conversion (appointment, reservation, sale) and calls that didn’t result in a conversion? Is there a ‘formula’ that will allow you to convert more calls and increase your revenue? How is a converted call different than a non-converted call?
After analyzing millions of phone calls from dozens of industries in the first 4 months of 2014, LogMyCalls has deciphered the differences between converting a call and not converting a call. We will share with you the critical factors in improving your chances of converting more calls.
In this webinar we’ll discuss the elements of a converted call. This is revolutionary data never seen before:
Missed opportunities for revenue
Determining calls that are good leads or great leads
The impact call length has on conversion?
Falcon's Invoice Discounting: Your Path to Prosperity
Search Engine Land/Digital Marketing Depot - The 11 Elements of a Converted Call
1. The 11 Elements of a Converted Call
Speakers:
McKay Allen, Inbound Marketing Manager, LogMyCalls
Michael Boland, Senior Analyst & VP Content, BIA/Kelsey
Tuesday July 8, 2014 1:00 EDT, (10:00 PDT)
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Viewing Tips
22. Calls Happen Around High Value,
High Consideration Purchases
Source: Google
Source: Google
23. In Total, This Leads Up to a Booming U.S.
Call-Based Advertising Market
Source: BIA/Kelsey
24. The Lesson?
Users: Mobile usage exploding; Commercial
intent is there
Advertisers: They want phone leads
The Market: Major growth in call volume and
ad dollars
Takeaway: An explosion of calls is coming
whether we like it or not. Take it as an
opportunity to drive, track and get credit for
them.
The Remaining Question: “How?”
25. What is LogMyCalls?
• Business intelligence and call analytics
• Lead scoring and deep analytics for
the phone
Global Start-Up Grand Prize Winner
- 2500 companies competed
- LogMyCalls selected
26. Raw # of calls
Referring Source
Keywords (Maybe)
Call Duration
Traditional Call Tracking
28. • Millions of calls analyzed
• Across dozens of industries
• Data extracted by
Conversation Analytics
Conversation Analytics Data
29. • Conversion:
• Appointment Set
• Sale Made
• Reservation Made
• Commitment to Buy
• What’s your conversion
rate?
Conversation Analytics Data
30. - Appointment
- Dentist, doctor, tire, auto,
plumber, HVAC
- Commitment to Buy
- SaaS, BtoB, big ticket
- Reservation Made
- Hotel, spa, rental car,
equipment
- Purchase Made
- Subscription, CC info
Conversation Analytics Data
31. The Q1 Call Report
• A direct invitation for the caller to become a customer
• Examples:
“We have an opening at 2:00. Can we get you set up?”
“Why don’t we go ahead and reserve the room?”
32. • Massive opportunity for increased revenue
• Agencies love this
Conversation Analytics Data
33. • Remember the data from the previous infographic
• Asking for the Business makes the caller 10.4x
more likely to buy
• And yet…87% of the time, agents don’t ask for
the business
34. • Lead quality matters A LOT – It isn’t ‘the sales guys’
fault’
35. • Calls in which there was a conversion event are longer
• Varies dependent on the industry
• Causality?
36. • Agent politeness a measure of basic words and phrases that
indicate politeness
• The agent is more polite on converted calls
37. • Agents perform 41% better on converted calls
• Hundreds of factors influence sales skills
• Important for marketing departments and agencies
38. - Formula for converting 80% of your calls – 8 of 9
- Compliment – Agent compliments caller
- Politeness – Agent is basically polite to caller
- Acquired Address – Agent gets caller’s address (even city or state)
- Acquired Name – Agent gets the caller’s name
- Acquired Phone Number – Agent gets the caller’s phone number
- Sales Inquiry – Caller’s not asking for directions or dialing the wrong
number
- Ask for Business – Agent asked directly for the business
- Ownership Language – Agent used ownership language – ‘I can help
you with that’ or ‘You’ve called the right place.’
- Determine Needs – Open-ended questions
39. Case Study: NES
- Problem
- Integration with property
management and lead management
- Provide clients value and data: CPL,
Traffic to Appointment, Cost Per
Lease
- Solution
- Missed Opportunity notifications
- Bundle via API – ‘Wow factor’
- Close rate data
40. Case Study: Grand Lucayan
- Problem
- Spending millions to market
across Eastern seaboard – ATL
and Carolinas
- Not tracking conversion rates
- Solution
- Track conversion rates by zip
code and area codes
- Tracking conversion rates –
improved 157% in 6 months
- Close rates up from 7% to 18%