Track
Monitored demos, first meetings, SQLs, and pipeline against targets.
Pipeline Generation
Marketing that moved pipeline.
I stayed close to what was driving net-new business, what was underperforming, and what we needed to change next across marketing, BDR, and sales.
180%growth in net-new business pipelinein less than 3 years
01.HOW I OPERATED
Pipeline generation was not just about launching campaigns. It was about staying close to performance, spotting gaps early, and adjusting the plan based on what the business needed.
Diagnose
Looked at which channels, campaigns, and assets were creating qualified demand.
Connect
Worked closely with BDR and sales to make sure marketing-driven interest was being worked.
Adjust
Changed campaigns, follow-up, and channel mix based on what the numbers were telling us.
02.Weekly reporting
To stay close to pipeline health, I used a weekly scorecard that helped me monitor volume, quality, and conversion across the funnel.
Charts below use recreated and anonymized data for confidentiality, while preserving the structure of the original reporting system.
01
Demo Form Fills, WoW
What it showed
Whether we were generating enough demo volume, and whether those submissions were strong enough to support pipeline.
02
Total Sales Call Volume, WoW
What it showed
The level of sales activity behind pipeline generation and whether there was enough outreach happening to support Allbound and Outbound performance.
03
1st Meetings Booked, WoW by Channel
What it showed
How demand was turning into real sales conversations across our different pipeline motions.
04
1st Meetings Booked, WoW by Rep
What it showed
How first meetings were distributed across the team and whether meeting generation was consistent or concentrated among a few reps.
05
BDR Connects, WoW
What it showed
How many real prospect connections the BDR team was generating, and whether outreach activity was translating into conversations.
06
BDR Connect Rate, WoW
What it showed
The percentage of outreach that resulted in a real prospect connection, one of our earliest signals of whether the BDR motion was healthy.
07
SQLs Created, WoW
What it showed
Which channels were actually turning conversations into qualified pipeline.
08
SQLs Quarter to Date by Channel
What it showed
The quarter-level mix of qualified pipeline and how much each channel contributed.
03.FROM SIGNAL TO ACTION
I tracked performance across three channel motions: inbound, allbound, and outbound. The goal was not just to report on them, but to know what action to take next.
Hand-raiser demand
If inbound was behind
I looked at website conversion, paid and organic performance, form quality, and upcoming campaigns to understand where demand was softening.
Marketing-engaged demand worked by BDRs
If allbound was behind
I worked with the BDR manager to review lead handoff, follow-up, and whether marketing-engaged accounts were actually being worked.
Proactive sales-created demand
If outbound was strongest
It gave us context on where pipeline was being carried by sales effort alone, and where marketing had room to create more support.
04.BUILT WITH AI
The SQL Command Center
I built an AI-powered command center that turned weekly pipeline reporting into a faster, more consistent leadership update.
Pulled together
Demos, meetings, SQLs, and pipeline metrics
Summarized
What moved, what slowed down, and what needed attention
Saved time
Less manual reporting, more time spent on decisions