We don't report on impressions, reach, or brand awareness scores. We report on pipeline generated, revenue attributed, and cost efficiency — the only numbers that matter to your CEO and board.
Every result below reflects a real program. Company names are anonymized — the metrics are not.
Growing 40% YoY but MQL volume had plateaued. Pipeline wasn't filling fast enough to support the next round. Marketing was running manual campaigns with a 6-week launch cycle.
We went from 40 MQLs per month to over 380 in six months — at half the cost. It felt like turning on a growth machine we didn't know existed.
Strong product-market fit but poor pipeline visibility and fragmented attribution. Marketing couldn't prove its impact to the board, and CAC was trending in the wrong direction ahead of a growth round.
virtualimage built us a pipeline machine and the reporting layer to prove it to our investors. We walked into our Series D with $18M in attributable pipeline on the books.
High CAC in a crowded market was squeezing unit economics. Multiple vendors had tried and failed to move the needle. The board was questioning whether demand generation was viable at scale.
They cut our CAC by 68% in one quarter. That's not a marketing win, that's a business model change. We immediately reinvested the savings into more pipeline.
Transitioning from PLG to enterprise sales. Thousands of PLG users but couldn't convert to paid enterprise. ABM was manual, underfunded, and inconsistently executed.
They built us a real enterprise motion — not just bigger email blasts. We're now running coordinated plays across 200 target accounts simultaneously with results we can show the board.
Sustained performance levels virtualimage programs achieve vs. reported B2B SaaS benchmarks.
| Metric | virtualimage Result | Industry Benchmark |
|---|---|---|
| Marketing-Originated Bookings | 70%+ | 35–45% average |
| Marketing-Influenced Revenue | 90%+ | 60–70% typical |
| LTV:CAC Ratio | 5:1+ | 3:1 gold standard |
| MQL-to-SQL Conversion Rate | 32–48% | 13% average |
| Cost Per Acquisition Reduction | −40 to −68% | Flat or increasing |
| Campaign Launch-to-Live Time | 48–96 hours | 4–8 weeks |
| Pipeline Attribution Accuracy | Full multi-touch | Last-touch or none |
virtualimage replaced three vendors and a six-person team. We went from generating 40 MQLs per month to over 380 — at half the cost. It felt like turning on a growth machine we didn't know we needed.
I've worked with a dozen agencies. None of them could tell me how their work connected to pipeline. virtualimage built us the attribution layer first, then the programs. Board loves the clarity.
The fact that their programs run autonomously was the biggest unlock for us. Our marketing team of two is now outperforming what a team of twelve was doing before. The AI just doesn't stop.
Book a 30-minute demand audit. We'll show you exactly what a virtualimage program would produce for your business — with projected metrics, not promises.