Full-Funnel Paid Demand Generation for an Enterprise Data Company
Selling enterprise data infrastructure is one of the slowest, most technical B2B sales there is; the buyer is a skeptical data or engineering leader, the deal is large, and the decision plays out over months of research and internal consensus. Paid media cannot shortcut that. Its job is to reach a narrow, hard-to-impress technical audience, build the kind of familiarity that survives a long buying cycle, and feed qualified leads into a pipeline that closes much later. This program had to do that at scale, across a sprawling account of more than a hundred campaigns.
I ran the full-funnel paid program: search, display, video, and paid social, and the measurement that held it together.
The Challenge
Four things shaped every decision:
- A narrow, skeptical, technical audience. The buyers are data and database leaders who tune out marketing language. Reaching them meant precision targeting and a message that respected their expertise, not broad tech spray-and-pray.
- A long, high-value sale. A “conversion” here is a research-stage lead, not a purchase. The whole program had to be measured to pipeline signals that matter months before revenue, or it would optimize for the wrong thing.
- A sprawling multi-channel account. More than a hundred campaigns spanned search, display, video, and Performance Max. At that size, waste accumulates quietly; the account needed constant discipline, not just launches.
- An abstract category. “Data” is hard to make tangible. The creative had to carry a technical, unglamorous subject to a human being and make it stick.
The Approach
Give every channel one job
The funnel was built by assigning each channel the role it does best, instead of asking any one of them to do everything.
- Search captured existing in-market intent, the leaders already looking for a solution.
- Display and video built awareness and kept the brand present with a technical audience across a long consideration window.
- Paid social reached the specific professional roles and accounts that actually buy, with precision the open web cannot match.
Each channel measured against the job it was given, not a single blended vanity number.
Run one creative platform across all of it
The program was anchored to a consistent brand-led creative system that made an abstract category feel human and memorable. Running one platform across every channel is what let the spend compound instead of fragmenting; a viewer met the same idea in search, in the feed, and in video, and it added up.
Target precisely, and prune constantly
Reaching a niche audience is a targeting problem and a hygiene problem at once. Audiences were built around the roles and accounts that convert, and across a hundred-plus campaigns the account was pruned continuously so budget kept flowing to what worked and away from what did not.
Measure to the qualified lead, not the click
The measurement layer was wired to pipeline, not traffic. A conversion was defined as a real lead signal, and the program was managed to cost per qualified conversion at enterprise scale, the number that actually maps to pipeline, rather than to clicks or impressions on their own.
The Results
Measured across the program’s multi-year run, blended over search, display, video, and paid social (figures conservatively rounded down):
| Signal | Program total |
|---|---|
| Ad impressions | 44M+ |
| Clicks | 320K+ |
| Paid media | $1M+ |
| Qualified conversions | 2,300+ |
| Blended cost per conversion | ~$440 |
A few things stand out:
- Reach at scale, in a narrow market. Tens of millions of impressions against a specialized technical audience is the awareness engine a long enterprise sale needs.
- Efficiency where it is hard to get. A blended cost per conversion around the low hundreds, in an enterprise B2B category with expensive clicks, is the product of channel discipline and constant pruning, not luck.
- Volume that feeds a pipeline. Thousands of qualified conversions is not a purchase count; it is the top of a long, high-value pipeline kept full.
Key Takeaways
- Give each channel one job. Search harvests intent, upper funnel builds familiarity, social reaches the exact buyer; asking one channel to do all three is how budgets get wasted.
- One creative platform compounds; scattered creative leaks. A consistent idea met across channels adds up in a way a dozen disconnected ads never will.
- In a big account, hygiene is the strategy. Across a hundred-plus campaigns, continuous pruning does more for efficiency than any single clever launch.
- Measure to the qualified lead. In a long enterprise sale, wiring the program to pipeline signals rather than clicks is what keeps it honest.
The category is specialized; the discipline is not. Give every channel a job, run one idea across all of them, prune relentlessly, and measure to the outcome. That is exactly how I approach organic and AI search visibility now, at a different scale and in a different market, but on the same principles.
About the Author
Andrés Plashal
Author of the Assistive Agent Optimization (AAO) framework. Twenty years building search and measurement systems for B2B and SEC-regulated firms. Google Partner since 2017.
Credentials: UIUC Gies College of Business (Behavioral Science), Columbia College Chicago (Interactive Arts & Media). Member: American Marketing Association, GAABS, Paid Search Association. Published researcher (SCTE/NCTA).