Real work · CData · Marketing leadership
When the channel looked busy, I changed the investment decision.
Renew a PPC vendor without convincing downstream evidence, or fund a bounded alternative and learn what the business actually values?
At CData, as Director of Demand Generation, I made channel and vendor allocation decisions within a defined monthly investment range. This is a decision I made, not a claimed result for the replacement channel.
Leadership scope
Not renewed
The incumbent PPC vendor contract, after review of downstream evidence
~$25K–$50K
Monthly channel and vendor allocation authority
One quarter
Duration of the alternative niche-community test
These figures describe my CData role and the test period, not company-wide budget ownership or a return-on-investment calculation.
How I made the call
The signal
Activity was not business value
The incumbent PPC vendor reported channel performance, but the evidence was not persuasive enough about qualified downstream progression to justify automatic renewal.
The decision
Do not renew by default
I chose not to renew the vendor engagement and redirected investment toward a quarter-long niche-community experiment with subject-matter expert participation, securing incremental budget for both media spend and the subject-matter expert resource the test required.
The guardrail
Fund learning, not a guarantee
The alternative was a bounded experiment, not proof that communities outperform paid acquisition. Looking back, any further investment would have needed evidence of relevant engagement and qualified progression.
Decision framework
How I would judge the next allocation.
What would justify renewed investment?
A defensible connection between acquisition spend and qualified downstream progression, with measurement strong enough to distinguish volume from value.
What would make me stop or revise?
If the community test could not produce decision-quality evidence of engagement or qualified progression, it would not earn a permanent allocation on activity alone.
Standards I would apply, set out in retrospect, not thresholds set or instrumented at the time.
Outcome boundaries
A good decision is not a proven return.
During my CData tenure, SQLs grew 30% and sales pipeline 15% within six months. They are reported as role-level outcomes in the demand accountability case, with no single initiative credited. I do not attribute them to the vendor nonrenewal or claim measured ROI from the niche-community experiment.
The leadership lesson: make resource decisions from downstream evidence, state what remains uncertain, and invest where the next credible learning can occur.
Contact
Hiring for this level of decision ownership?
I lead demand and GTM systems where teams, resource allocation and measurement have to become defensible decisions, and I am open to full-time Senior Manager, Director, and Director-track roles.