Marketers need to evolve beyond buying eyeballs and clicks. Great marketers help close more sales by listening to their customers. This presentation explains how non-programmers can use machine learning and natural language processing to analyze their customers' feelings, then customize their marketing strategies to address more needs.
21. Paths to purchase.
Buying questions.
Competitive intelligence.
Are they happy?
Sales objections.
Points of friction.
22. Paths to purchase.
Buying questions.
Competitive intelligence.
Are they happy?
Sales objections.
Points of friction.
Competing offers.
23. Paths to purchase.
Buying questions.
Competitive intelligence.
Are they happy?
Sales objections.
Points of friction.
Competing offers.
Are they frustrated?
46. A Wealth Of Data From Each Call
Call
Duration
Agent / Caller
Ratio
47. A Wealth Of Data From Each Call
Call
Duration
Agent / Caller
Ratio
Traffic Source
& Keyword
48. A Wealth Of Data From Each Call
Call
Duration
Agent / Caller
Ratio
Traffic Source
& Keyword
Caller
ID
49. A Wealth Of Data From Each Call
Call
Duration
Agent / Caller
Ratio
Traffic Source
& Keyword
Caller
ID
Ring
Duration
50. A Wealth Of Data From Each Call
Call
Duration
Agent / Caller
Ratio
Traffic Source
& Keyword
Caller
ID
Ring
Duration
Call
Status
51. Fix a callerâs problem the ïŹrst time.
1st Call 2nd Call 3rd Call 4th Call 5th Call
đ
đ
đ€Ź
n=11,565 calls
52. Fix a callerâs problem the ïŹrst time.
1st Call 2nd Call 3rd Call 4th Call 5th Call
đ
đ
đ€Ź
n=11,565 calls
53. Fix a callerâs problem the ïŹrst time.
1st Call 2nd Call 3rd Call 4th Call 5th Call
đ
đ
đ€Ź
n=11,565 calls
54. Fix a callerâs problem the ïŹrst time.
Repeat callers are
more negative and
more emotionally
charged.
1st Call 2nd Call 3rd Call 4th Call 5th Call
đ
đ
đ€Ź
n=11,565 calls
55. Focus on improving experiences for the
bottom 30%.
CallVolume
0
400
800
1,200
1,600
đđđ€Ź
n=11,565 calls
30% of Calls
56. Focus on improving experiences for the
bottom 30%.
Calls skew slightly
negative but still
follow an expected
bell curve
distribution.
CallVolume
0
400
800
1,200
1,600
đđđ€Ź
n=11,565 calls
30% of Calls