williamflaiz.com | cleansmartlabs.com
Beginner: "We have 500K contacts!" 🎉
Intermediate: "Why are 200K bouncing?" 😰
Advanced: "Clean before we campaign" 🧠
Expert: "Prevention beats remediation" 🎯
Where's your org?
#DataStrategy
Beginner: "We have 500K contacts!" 🎉
Intermediate: "Why are 200K bouncing?" 😰
Advanced: "Clean before we campaign" 🧠
Expert: "Prevention beats remediation" 🎯
Where's your org?
#DataStrategy
Gartner said it. Most organizations ignore it. 💰
Clean data isn't a cost center. Dirty data is.
#DataQuality #ROI #MarTech
Gartner said it. Most organizations ignore it. 💰
Clean data isn't a cost center. Dirty data is.
#DataQuality #ROI #MarTech
Almost a quarter—gone. 📉
People change jobs. Domains expire. Inboxes get abandoned.
Clean quarterly. At minimum.
#EmailMarketing #Deliverability
Almost a quarter—gone. 📉
People change jobs. Domains expire. Inboxes get abandoned.
Clean quarterly. At minimum.
#EmailMarketing #Deliverability
But everyone gets blamed when campaigns fail because the data was wrong. 🧹
Stop chasing shiny. Start fixing fundamental.
#MarketingOps #DataQuality
But everyone gets blamed when campaigns fail because the data was wrong. 🧹
Stop chasing shiny. Start fixing fundamental.
#MarketingOps #DataQuality
And most marketing AI is eating junk food. 🤖
Before you invest in AI, invest in data hygiene.
#AI #MarTech #DataStrategy
And most marketing AI is eating junk food. 🤖
Before you invest in AI, invest in data hygiene.
#AI #MarTech #DataStrategy
The one you keep postponing. 💸
One client delayed 18 months. Cost them pipeline accuracy, sales hours, and executive trust.
The cleanup isn't the expense. The delay is.
#CRM #DataQuality
The one you keep postponing. 💸
One client delayed 18 months. Cost them pipeline accuracy, sales hours, and executive trust.
The cleanup isn't the expense. The delay is.
#CRM #DataQuality
Every time. 📧
Stop chasing volume. Start chasing validity.
#EmailMarketing #MarTech #B2BMarketing
Every time. 📧
Stop chasing volume. Start chasing validity.
#EmailMarketing #MarTech #B2BMarketing
Your data is. 📊
47% of one client's CRM? Contacts who left their companies years ago.
They blamed the platform. Switched vendors twice.
The problem followed them.
#DataQuality #MarTech
Your data is. 📊
47% of one client's CRM? Contacts who left their companies years ago.
They blamed the platform. Switched vendors twice.
The problem followed them.
#DataQuality #MarTech
Grateful for marketing ops pros who fight for data quality when nobody's watching.
You run dedup scripts at 2am, build validation rules sales hates, clean disasters before leadership notices.
You're why campaigns work. 🙏
#MarketingOps
Grateful for marketing ops pros who fight for data quality when nobody's watching.
You run dedup scripts at 2am, build validation rules sales hates, clean disasters before leadership notices.
You're why campaigns work. 🙏
#MarketingOps
Mid-market SaaS: 38% CRM duplicates cost them:
- $127K in wasted licenses
- $890K in sales labor waste
- $340K in marketing waste
- $2.1M in delayed revenue
= $3.5M annual leak
Still not ROI?
#DataQuality #B2BSaaS
Mid-market SaaS: 38% CRM duplicates cost them:
- $127K in wasted licenses
- $890K in sales labor waste
- $340K in marketing waste
- $2.1M in delayed revenue
= $3.5M annual leak
Still not ROI?
#DataQuality #B2BSaaS
AI makes bad data MORE expensive, not less. When AI decides at scale, bad data compounds exponentially.
Winners in 5 years? Cleanest data feeding their AI.
#MarketingOps #AIStrategy
AI makes bad data MORE expensive, not less. When AI decides at scale, bad data compounds exponentially.
Winners in 5 years? Cleanest data feeding their AI.
#MarketingOps #AIStrategy
👇
bit.ly/4i2GrUe
#ecommerce #DataQuality #RetailOperations
👇
bit.ly/4i2GrUe
#ecommerce #DataQuality #RetailOperations
After data audit: Paid search was actually 22%. Content (the real winner at 41%) was about to be defunded.
Validate before you optimize.
#MarketingAttribution
After data audit: Paid search was actually 22%. Content (the real winner at 41%) was about to be defunded.
Validate before you optimize.
#MarketingAttribution
bit.ly/4i2GrUe
#ecommerce #ProductData
bit.ly/4i2GrUe
#ecommerce #ProductData
Didn't change sales process, add headcount, or buy tools.
We cleaned their data.
Sales reps were spending 4.2 hrs/week just verifying if leads were real.
Clean data compounds.
#SalesOps #B2BSales #DataQuality
Didn't change sales process, add headcount, or buy tools.
We cleaned their data.
Sales reps were spending 4.2 hrs/week just verifying if leads were real.
Clean data compounds.
#SalesOps #B2BSales #DataQuality
Cost: $2.4M
Cause: Bad data
Data quality = risk management in regulated industries.
#Pharma #Compliance #DataQuality
Cost: $2.4M
Cause: Bad data
Data quality = risk management in regulated industries.
#Pharma #Compliance #DataQuality
Then we audit their data: 31% duplicate rate, 23% blank fields, 67 different values for "lead source."
The tool worked fine.
#DigitalTransformation #DataQuality
Then we audit their data: 31% duplicate rate, 23% blank fields, 67 different values for "lead source."
The tool worked fine.
#DigitalTransformation #DataQuality
"Should we add another tool?"
My question: "Can you trust the data in what you have?"
Silence. 🤐
Fix your data. Then evaluate new tools.
#MarTech #MarketingOps #DataQuality
"Should we add another tool?"
My question: "Can you trust the data in what you have?"
Silence. 🤐
Fix your data. Then evaluate new tools.
#MarTech #MarketingOps #DataQuality
The platform was never the problem—the data was. Here's how to diagnose it before your next migration.
#MarTech #CRM
Healthcare co spent $2.3M on Salesforce. Beautiful dashboards. Useless data.
Their "67% win rate" was fantasy—34% of wins had $0 revenue.
Data quality = governance problem.
#Salesforce #CRM
Healthcare co spent $2.3M on Salesforce. Beautiful dashboards. Useless data.
Their "67% win rate" was fantasy—34% of wins had $0 revenue.
Data quality = governance problem.
#Salesforce #CRM
It failed because you had 89 different values for what should've been 6 opportunity stages.
Clean data > new platform
#SalesOps #DataQuality
It failed because you had 89 different values for what should've been 6 opportunity stages.
Clean data > new platform
#SalesOps #DataQuality
REALITY: It's a dumpster fire. 🔥
I find:
- Same customer, 7 spellings
- 64% missing critical fields
- 3 shadow databases (no one trusts the CRM)
Source of truth? More like source of guesses.
#CRM #DataGovernance
REALITY: It's a dumpster fire. 🔥
I find:
- Same customer, 7 spellings
- 64% missing critical fields
- 3 shadow databases (no one trusts the CRM)
Source of truth? More like source of guesses.
#CRM #DataGovernance
The problem? 47,000 duplicate records and 7 years of dirty data moved to a shiny new platform.
Fix the data first. Then migrate.
#MarTech #CRM