Contenu connexe Similaire à The Conversion Disconnect (20) The Conversion Disconnect2. © 2018 Seer Interactive • All Rights Reserved • Page 2
Who this?
Hello!
The name is Erika Schmidt
Data Analysis is my game
Senior PPC Associate @ Seer Interactive
erikapdx
linkedin.com/in/schmidterika
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We’ve all been there...
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We aren’t seeing any
sales come through.
How do we know if
PPC is driving qualified
leads?
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And this is our response...
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Great question! Let
me follow up.
¯_(ツ)_/¯
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So what’s your point?
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Do we know often our leads turn into sales?
Are the leads even qualified?
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Half the money I spend on advertising
is wasted; the trouble is I don’t know
which half.
- John Wanamaker
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Half the money I spend on advertising
is wasted; the trouble is I don’t know
which half.
- John Wanamaker
#heroconf | @erikapdx
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We will touch on:
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1) Campaigns
2) Landing Pages
3) Sales Process
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Welcome to Hogwarts, PPC’ers.
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Welcome to Hogwarts, PPC’ers.
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The School of
Lead Gen Clarity
And “Oh sh**, these are my leads!”
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Campaigns
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The Problem with
Ad Platforms
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This tells us nooothing about the lead quality.
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Example Time
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Meet Client X
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Meet Client X’s Top-Performing Campaign
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Buuuuut...
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...if you tie in qualified lead data
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...if you tie in qualified lead data
Oh sh**, these are my leads!
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HOLD UP
How did you do that?
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First off, you need CRM data.
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What are my options?
● AdWords and Salesforce Integration
● Export CRM Data
● Closed Loop Analytics
● Google Analytics 360 and Salesforce Integration
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What are my options?
● AdWords and Salesforce Integration
● Export CRM Data
● Closed Loop Analytics
● Google Analytics 360 and Salesforce Integration
Pros
Whoop, whoop! CRM data right in AdWords!
Cons
● Just AdWords…
● Just Salesforce...
● Head banging set up process…
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What are my options?
● AdWords and Salesforce Integration
● Export CRM Data
● Closed Loop Analytics
● Google Analytics 360 and Salesforce Integration
Pros
Export CRM data when you want it
Cons
● Need CRM access for exports
● Manual data process to clean, pivot,
and analyze data
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What are my options?
● AdWords and Salesforce Integration
● Export CRM Data
● Closed Loop Analytics
● Google Analytics 360 and Salesforce Integration
Pros
View CRM data right in GA!
Cons
Lengthy set up time for this custom
integration.
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What are my options?
● AdWords and Salesforce Integration
● Export CRM Data
● Closed Loop Analytics
● Google Analytics 360 and Salesforce Integration
In development by Google!
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Steps
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1. Export campaign-level data from the ad engine
2. Export spreadsheet from your CRM with:
○ Email
○ Lead Status
○ Converted Date
○ Campaign or Ad ID (Custom Hidden Fields)
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Steps
#heroconf | @erikapdx
1. Export campaign-level data from the ad engine
2. Export spreadsheet from your CRM with:
○ Email
○ Lead Status
○ Converted Date
○ Campaign or Ad ID (Custom Hidden Fields)
Tip! Make sure you use
the same date range for
both exports.
Tip! Use Google
Inspect (CTRL+Shift+I)
on your form to see
what fields are already
available to you.
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Steps
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3. Merge the two data sets into a single spreadsheet
4. Remove duplicate entries based on email
5. Pivot the data for the metrics you want to analyze
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Steps
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3. Merge the two data sets into a single spreadsheet
4. Remove duplicate entries based on email
5. Pivot the data for the metrics you want to analyze
Tip! You can sub campaign out with any
attribute that’s available between the CRM
and ad engine for another type of analysis.
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Steps
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6. Add in formulas for:
○ Cost Per Qualified Lead (CPQL) = IFERROR(Cost / QL),0)
○ Qualified Lead Rate (QLVR) = IFERROR((QL / Clicks),0)
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Recap of Steps
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1. Export campaign-level data from the ad engine
2. Export spreadsheet from your CRM with:
○ Email
○ Lead Status
○ Converted Date
○ Campaign or Ad ID (Custom Hidden Fields)
3. Merge the two data sets into a single spreadsheet
4. Remove duplicate entries based on email
5. Pivot the data for the metrics you want to analyze
6. Add in formulas for:
○ Cost Per Qualified Lead (CPQL) = IFERROR(Cost / QL),0)
○ Qualified Lead Rate (QLVR) = IFERROR((QL / Clicks),0)
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You can do this
same analysis as a:
● Geo Analysis
● Dayparting Analysis
● Device Analysis
● Ad Group Analysis
● Keyword Analysis
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Key Takeaways
Use a CRM to find campaigns, ad
groups, and keywords that drive
qualified leads and sales. Then
allocate more optimization time
and budget to these areas to
increase sales further.
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Landing Pages
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Are more leads always better?
QUICK QUESTION
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50%
of sales time is wasted on unproductive
prospecting
Source: ReachForce
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Quality over quantity.
We are looking for qualified leads. Quality
leads contribute to growth.
Unqualified leads cost you time, customers,
and can harm the team relationship.
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Get on the same
team.
Marketing and Sales need to
communicate to achieve goals.
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How do we fix this?
Communicate! Figure out what Sales needs to pre-qualify prospects. Do they need:
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Form Growth can be Scary
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But there is a Balance
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...and A/B Testing!
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Key Takeaways
Connect with the sales team to
discuss what they need to be on
the landing page(s) to pre-qualify
the consumer.
Adequate information will enable
the sales team to prioritize leads
and focus their time on more
qualified leads.
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Sales Process
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Sales and marketing alignment can
help your company become
67%
better at closing deals
Source: Marketo
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Marketing and Sales Funnel
Visitor
Lead
MQL
SQL
Opportunity
Sale
Top of the Funnel
Marketing’s
Responsibility
Middle of the Funnel
Marketing and Sales
Responsibility
Bottom of the Funnel
Sales Responsibility
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How can Marketing and Sales work together?
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Meet Client Y
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Time Lag Analysis: Measures
how long it took for a lead to be
determined qualified.
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Meet Client Y
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Time Lag Analysis: Measures
how long it took for a lead to be
determined qualified.
Oh sh**, these are my leads!
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How do I perform a Time Lag Analysis?
1. Export spreadsheet with these attributes:
a. Email
b. Lead Status
c. Lead Created Date
d. Qualified Date
2. Remove duplicate entries based on email
3. In the raw data, create a new Time Lag
column with this formula:
a. = Qualified Date - Lead Created Date
4. Pivot the data into a table for analysis
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Time Lag Analysis Continued...
1. Export spreadsheet with these attributes:
a. Email
b. Lead Status
c. Lead Created Date
d. Qualified Date
2. Remove duplicate entries based on email
3. In the raw data, create a new Time Lag
column with this formula:
a. = Qualified Date - Lead Created Date
4. Pivot the data into a table for analysis
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Have you ever stepped back and thought...
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Meet Client Z
Not Attempted: A lead that the Sales
Team has not reached out to yet.
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Meet Client Z
Not Attempted: A lead that the Sales
Team has not reached out to yet.
Oh sh**, these are my leads!
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Meet Client Z’s Sales Team
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What do I need to perform these analyses?
1. FIRST! You must define a Not Attempted
lead value for lead status
2. If you are doing a:
Not Attempted Rate Analysis
● Export spreadsheet with:
○ Email
○ Lead Status
○ Lead Created Date
Sales Team Analysis
● Export spreadsheet with:
○ Email
○ Lead Owner
○ Lead Status
○ Lead Created Date
3. Remove duplicate entries based on email
4. Pivot the data into a table for analysis
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Key Takeaways
Utilize the CRM to identify factors
for why leads aren’t turning
sales.
PPC may not always be the
reason, but further analysis can
reveal insights that lead to
cross-team strategies to order to
increase sales.
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Your Mission
1. If you don’t have access to CRM
data, then make a case to get it!
2. Run analyses to determine what
campaigns are driving qualified leads
and pivot strategy accordingly
3. Talk to the Sales Team to understand
what they need to pre-qualify
prospects
4. Use your newfound insights to work
with the client to strengthen the sales
process
5. Continually pivot strategies, test, and
analyze
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That’s all fellow PPC’ers
THANK YOU
You all rock!
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