www.williamflaiz.com
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
One client had 340K contacts. Only 127K were deliverable. They marketed to 213K dead records.
When did you last validate YOUR database?
#EmailMarketing #DataQuality
One client had 340K contacts. Only 127K were deliverable. They marketed to 213K dead records.
When did you last validate YOUR database?
#EmailMarketing #DataQuality
Then I check the data:
- 34% duplicates
- 41% incomplete
- 23% bounced emails
- 67% never engaged
You don't have a lead problem. You have a data quality problem. 📊
#MarketingOps #B2BSales #DataQuality
Then I check the data:
- 34% duplicates
- 41% incomplete
- 23% bounced emails
- 67% never engaged
You don't have a lead problem. You have a data quality problem. 📊
#MarketingOps #B2BSales #DataQuality
That's 81% decay—and you're paying for every unusable record. 💸
One pharma client cut their licensing costs from $340K to $127K after cleaning their database.
#MarketingOps #DataQuality #CRM
That's 81% decay—and you're paying for every unusable record. 💸
One pharma client cut their licensing costs from $340K to $127K after cleaning their database.
#MarketingOps #DataQuality #CRM
31% of leads get misrouted to the wrong sales rep.
The cost? Real deals. Real revenue.
Here's the systematic framework we used to fix it ⬇️
#MarTech #SalesOps #RevOps
They try to fix everything at once and see zero results.
Focus on automation blockers first. Everything else is noise.
#MarTech #SalesOps #RevOps
It needs to be: - accurate enough for decisions - clean enough for automation - maintained enough to stay useful.
Perfectionism is procrastination in a suit 🎭
#PracticalAdvice #DataQuality
It needs to be: - accurate enough for decisions - clean enough for automation - maintained enough to stay useful.
Perfectionism is procrastination in a suit 🎭
#PracticalAdvice #DataQuality
They're losing deals because of bad data. 🎯
At CT3: 7% deal increase in 6 months using a 4-phase cleanup framework.
No new tools. No new headcount. Just better execution.
#B2BSales #CRM #DataQuality
They're losing deals because of bad data. 🎯
At CT3: 7% deal increase in 6 months using a 4-phase cleanup framework.
No new tools. No new headcount. Just better execution.
#B2BSales #CRM #DataQuality
Clean data makes money.
The distance between those two states is where you win or lose markets 💡
#CompetitiveAdvantage #DataROI
Clean data makes money.
The distance between those two states is where you win or lose markets 💡
#CompetitiveAdvantage #DataROI
At CT3, we increased closed deals 7% in 6 months—not with new software, but with a 4-phase data cleanup framework.
The problem wasn't technology. It was execution.
#B2BSales #CRM #DataQuality
At CT3, we increased closed deals 7% in 6 months—not with new software, but with a 4-phase data cleanup framework.
The problem wasn't technology. It was execution.
#B2BSales #CRM #DataQuality
Same data chaos just different spreadsheet sizes.
Solution is always: audit → prioritize → automate → maintain.
Fundamentals don't care about your budget 🎯
#Fundamentals #DataStrategy
Same data chaos just different spreadsheet sizes.
Solution is always: audit → prioritize → automate → maintain.
Fundamentals don't care about your budget 🎯
#Fundamentals #DataStrategy
Deals up 5-7% per month.
The process was more important than the tools (as usual) 📈
#CaseStudy #ProcessWins
Deals up 5-7% per month.
The process was more important than the tools (as usual) 📈
#CaseStudy #ProcessWins
Fix once = broken in 6 months. Automate maintenance = clean forever.
Most companies choose wrong 🔧
#DataMaintenance #Systems
Fix once = broken in 6 months. Automate maintenance = clean forever.
Most companies choose wrong 🔧
#DataMaintenance #Systems
Neither of these solve bad data.
What works: audit, prioritize, automate, maintain.
Boring? Yes.
Effective? Also yes ✅
#DataStrategy #ProcessThinking
Neither of these solve bad data.
What works: audit, prioritize, automate, maintain.
Boring? Yes.
Effective? Also yes ✅
#DataStrategy #ProcessThinking
One has clean data and automation.
One has spreadsheets and hope.
Only one of them scales 🍻
#ScalingSystems #DataAutomation
One has clean data and automation.
One has spreadsheets and hope.
Only one of them scales 🍻
#ScalingSystems #DataAutomation