Adam Dorfman: Using Data to Connect With & Convert Searchers in Near Me Moments
1. Using Data to Connect With and Convert Searchers
in Near Me Moments
Adam Dorfman
SVP – Product & Technology
www.simpartners.com
@phixed
#stateofsearch
12. A Truthful Representation of How Accurate Your Listings Are
Not All Citations Are Equally Good
What Listing (Citation) Health Should Be:
@phixed
#stateofsearch
20. Vertical citations trump domain strength (more
often than not)
App citations are growing in importance
Data aggregators (amplifiers) are still incredibly
important
@phixed
#stateofsearch
21. A Truthful Representation of How Accurate Your Listings Are
Not All Citations Are Equally Good
Not All Inaccuracies Are Equally Bad
What Listing (Citation) Health Should Be:
@phixed
#stateofsearch
34. Hypothesis #1: Traffic and Conversions
are Strongly Correlated to Listing Health
@phixed
#stateofsearch
35. 10% 20% 30% 40% 50% 60% 70% 80%
Listing Health Score
Traffic
How Listing Health Impacts Traffic
36. 10% 20% 30% 40% 50% 60% 70% 80%
Listing Health Score
OPAs
Traffic
How Listing Health Impacts On Page Actions
37. 10% 20% 30% 40% 50% 60% 70% 80%
Listing Health Score
OPAs
Traffic
Traffic Quality
Improves
Traffic Quality
Stabilizes
How Listing Health Impacts On Page Actions
38. 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80%
Listing Health Score
On Page Actions per Visit by Listing Health Score
39. Brands that increased their Listing Health
Score by 20% experienced up to:
@phixed
#stateofsearch
40. Hypothesis #1: Traffic and Conversions
are Strongly Correlated to Listing Health
@phixed
#stateofsearch
41. Takeaways:
• Listing health still matters
• Reconsider how you measure listing health success
• Make your data available in as many places as possible using
data amplifiers
• Focus your efforts on the sites and data points that impact you
the most
@phixed
#stateofsearch
49. Takeaways:
• Expect your local search rankings to be the primary source of
recovery search traffic
• Discovery search traffic will come from both
• Google has become adept at sending consistently relevant
traffic whether from Local or Organic
@phixed
#stateofsearch
51. Insert Slide about Machine Learning Algorithms and Marketing to Personas
52. • Income
• Immigration Status
• Work Classification (Govt/Self/etc)
• Marital Status
• Income Derivation
(Interest/Capital Gains vs W2s)
• Property Value
• Age
• Language spoken
Variables considered:
http://forum.blockland.us/index.php?topic=238783.0
59. Takeaways:
• Hyperlocal + Personas = Scalable Content Strategies
• There is an opportunity in addressing underserved
communities
• Demographics matter and vary based on industry
• With machine learning metrics becoming a primary ranking
signal, speaking specifically to visitors is a must.
@phixed
#stateofsearch
This trend will continue and mobile use will continue to grow…
This chart from Mary Meeker’s latest deck…
So now – ready or not – we are all mobile marketers and entering a “post-mobile” era…
We are not saying mobile devices are going away, we are saying that we are now entering an era in which everything is mobile…
And that always-on, real-time access to information has splintered the “Zero Moments” into “Micro-Moments”…
These are the “I want to know” moments…The “I want to go” moments…The “I want to do” moments…The “I want to buy” moments…
How many people here today had one of these moments today? How many have had more than 10 of these moments today?
Many of the micro moments that occur to me when I think about this are light like “I want to know when Spectre is playing near me and if it is sold out”
But others become more serious. “I need an oncologist.” “I want to refinance my house.”
And, the one type of moment we spend so much of our time thinking about …
Are the “near me” moments…
Sampled evenly across market populations
Listing health problems have changed. What was problematic 3 years ago isn't necessarily the same problems now.
Citation accuracy today reminds me of rankings. Yes, they are important to monitor and useful when looking to discover performance opportunities. But in and of itself they can be red herrings
Don’t focus on making your data looks right, focus on making it used right
Notice the 10-20 OPAs as they are the over performers; they tend to have deeper excursions
Government due to access to Credit Unions and other employer sponsored financial services
Kids = more stuff to buy
More people in households = more conversations need to happen prior to purchasing
How do we create a persona to market to people that we know this to be true about?