SVMUG 0219 Healthy DB
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Transcript of SVMUG 0219 Healthy DB
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Healthy Databases Makes Happy Marketers
Jessica Kao
Senior Manager, Demand Gen
Guidespark
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Keeper of the Database
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Companies marketing to a database that is routed through a healthy data-cleansing routine can realize
nearly 70% more revenue than an average organization, based purely on data quality.
-Sirius Decisions
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State of GuideSparks Database
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Data Changes Constantly
• Up to 20% of all postal addresses change every year.¹
• Up to 18% of all telephone numbers change every year.¹
• Up to 21% of all CEO’s change every year.¹
• 25-33% of email addresses will become outdated every year.²
• Up to 66% of people change companies or job functions every year!³
• In the next hour, 58 business addresses will change, 11 companies will change their names, and 41 new businesses will open¹ … not to mention how many companies will go out of business.
SOURCES:
¹D&B
²Lyris Technologies: “Guru’s Guide to Email Marketing Success”
³Sales & Marketing Institute
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Database = House of Sales and Marketing
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Welcome to the GuideSpark Database Club: Who are the Players?
Bouncer
Tailor
Washing
Machine
House Cleaner
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Welcome to the GuideSpark Database Club: Who are the Players?
Validation
Patch Data
Data
Appending
Dedupping
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Who are the players for database health?
Bouncer
• Background check
• Email Verifier
Tailor
• Patches the holes
• Appends data specifically during form fills to decrease the number of required fields
Washing Machine
• Ensure you look your best before going in
• Data is cleaned, appended, standardized
House Cleaner
• Comes in weekly and maintains cleanliness
• Regular data cleanse and merging of duplicates
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Data Clean Process
Email Validation
Data Appending
Marketo
SFDC
Databases Maintenance
Ongoing Dedupping
Initial Data CleanseLeads Entry
Form
All other
Data Append -Patch
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Crowded MarTec Software Landscape
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• Data quality variability
• Multiple data sources
• Data decay
Challenge:
How do you preserve your IP server reputation and avoid getting blocked as spam?
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Verification
• Answers “Will it bounce?”
• Identifies valid inboxes if possible
• Unable to verify for “catch all” servers
Hygiene
• Identify spam traps, honey pots, bot generated, malicious domain
Solution: Email Verification and Hygiene
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• Validate on form fill
• Validate on creation
• Quarterly or Semi-annual clean
• Assess quality of purchased lists
Solution: Email Validation and Hygiene
Bob the Bouncer
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Why we chose them:
• Detail and granularity of validation codes
• Run Smart Campaigns based on codes ie >300 = Marketing Suspended
• Simple integration with Marketo
• Option for offline
• Great Sales and Support, very knowledgeable
Pricing and Budgeting:
• Clean DB 2-4X a year + additional new leads
• 1 cent per lead
• Saas yearly subscription
Strikeiron: Email Validation and Hygiene
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Email Validation by StrikeIron
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What do bounced leads look like?
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Email Away . . .
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• Reputable Source (ie form fill) Proceed
• Questionable Source (ie list purchase) Suspend
Approach with Caution
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Stop: Don’t email
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• Multiple data sources
• Lack of control of data and format
• Data appending needs to happen before entry into SFDC – lead routing triggers
• Cleaning after the fact is cumbersome
• SFDC and Marketo immediate sync
Challenge:
Incomplete and inaccurate lead data prevents timely delivery of leads to sales, targeting,
segmentation etc.
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• Monthly webinars 1K-2K leads
• Manually transform the data
• Send to overseas for data appending (3-4 day Turn Around Time)
• Multiple batches and files
• Error Prone (50% accuracy)
• Resource and Time intensive
• SLA Leads to sales 6-18hrs after webinar
GuideSparks Previous State
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Data Transformation
• Customized employee buckets
• Proper Case
• Address Standardization
Account Level Data Appending
• Fill in data for proper lead routing
• Add Industry for targeted campaigns
Solution: Data Appending
Washing
Machine
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How do we use it:
• DB is appended twice daily
• New leads are appended before syncing to SFDC
• Flag duplicates on large list uploads
Solution: Data Appending
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Why we chose them:
• Solid and thorough product, many choices
• Customization
• Integration with Marketo and append outside of SFDC
• Option for offline
• Great Sales and Support, very knowledgeable, above and beyond
Pricing and Budgeting:
• Unlimited DB clean (2X per day)
• 24-26 cent per lead
• Based on DB size
• SaaS yearly subscription
Reachforce: Data Appending
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Data Quality (Before and After)
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Is…
• Provides firmographicdata at the account level
• Email validation is typically included = ping server
What account level data appending is and what it isn’t
• Is not…
• Does not replace invalid emails with valid ones
• Does not verify whether the person is still there
• Does not provide direct dial phone number
• Does not provide lead level information
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Rise of the direct mail campaign
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Reachforce Evaluation
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• Lack of data in report
• No customized transformation
• Poor experience with sales
InsideView Evaluation Report
Account
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• 2X per month in SFDC
Data.com: Stare and Compare
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ReachForce Data.com
Match Rate >88% 50%
Append Account Level ✔ ✔
Append Contact and Lead Level ✔ ✔
Append prior to entering DB ✔ ✖
Marketo Integration ✔ ✖
Data Standardization ✔ ✖
Customize data fields to GS requirements
✔ ✖
Provide Data Confidence Score ✔ ✖
On-Demand Single Record Clean (Stare and Compare)
✖ ✔
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• Obtain minimum info
• Increase landing page conversion rate
• Requirements from sales and product marketing
Challenge:
Increase lead acquisition from website by decrease form fields and gather all required
information.
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Solution: Reduce Form Friction
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• Minimum information • First Name
• Last Name
• Company
• User to choose company and site
• Appends information on form submission
Solution: Smart Forms
Tailor
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Why we chose them:
• Customization – can choose what data to append
• Data transformation – employee bucket size changes
• Choose which forms to implement
• Simple Integration with Marketo and append outside of SFDC
Pricing and Budgeting:
• Same DB as RF cDQM
• Cost per form submission
• Inexpensive
• SaaS yearly subscription
Reachforce: Smart Forms
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• Automation friendly
• Dedupe prior to entering SFDC
Challenge:
Duplicate leads and contacts generated from different email addresses leads to confusion
from the sales side and inaccurate data.
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Solution:
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• Dedupe 1X per month
• Evaluated RingLead vs LeanData
• Cheaper and friendlier
• Integrates with SFDC
• Stare and Compare View in SFDC
Currently Use LeanData
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• Doesn’t integrate with Marketo
• Not automation friendly
• No Flagged field
• Manual process
• 7000 duplicates still in Marketo
LeanData Challenges
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Manual Review of 16 categories of dupes
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Manual review of duplicates
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MarketoIntegration
SFDC Integration
EmailVerification
Data Appending
Flags Duplicates
Merging
Strikeiron X X X *
Reachforce X X X X X
Lean Data X X X
Marketing Tech Stack
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• What is the source of your data?
• How often is it updated?
• How do you indicate data quality?
• Is it automation friendly?
• Submit sample data for analysis to see what % they can append.
• Submit sample data for appending to see the data.
• Blinded Test• Good Lead List – randomize, don’t use the oldest leads which have the lowest
Marketo ID number
• Bounced = true list
• Purchased list
• 1-2 examples of actual lists
Questions to ask during evaluation
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• Open Dialogue between you and Sales Ops
• Determine what you business needs
• During evaluation, ask vendors to demonstrate what they can do with YOUR data
• Think holistically – how will all the pieces of software work together
Wrap Up