Install the system yourself
Wire CRM offline conversions, build B2B-intent search campaigns, and stop optimizing on form fills yourself. For technical founders and growth leads who like systems.
Your unit economics work — $2,300 CAC against $27K LTV. But you can't scale. PMax sends you students looking for free templates. Your 90-day sales cycle breaks Google's optimization window. And your content marketer isn't a PPC person. These systems fix the pipeline, not just the click.
Pick how you want to build pipeline
Wire CRM offline conversions, build B2B-intent search campaigns, and stop optimizing on form fills yourself. For technical founders and growth leads who like systems.
$0
Niche vertical software keywords
$0
Before offline conversion optimization
10–15%
Without offline CRM feedback; rises to 20–28% after pipeline-value bidding
0 minimum
VC-backed SaaS benchmark
You turned on Performance Max expecting qualified leads. Instead, Google found the cheapest conversions — students searching for 'free project management templates' and job seekers looking for 'construction management courses.' Your ICP is a VP of Operations at a $20M contractor, not someone writing a term paper.
Google needs conversion signals within 7-14 days to optimize. Your deals close in 90 days. By the time a demo request becomes a paying customer, Google has already reallocated your budget to whatever generated the most form fills — qualified or not.
At $280 per demo with $25-40 CPCs, you're getting 2 demos a week. Your board wants 8. Scaling budget just means more of the same unqualified leads. You need to fix the signal before you scale the spend.
Your one marketer writes great blog posts and manages your newsletter. But Google Ads requires a completely different skill set — keyword architecture, bid strategy, conversion tracking, and CRM integration. You can't just 'figure it out' on top of everything else.
“How do you run Google Ads for B2B SaaS when the sales cycle is 90 days?”r/SaaS
“PMax for B2B is useless — I got leads for 'free project management templates'”r/PPC
“Google Ads cost per customer is $2,300. Our LTV is $27K. But my board wants me to scale faster”r/startups
These are representative outcome patterns we've seen from operators implementing these systems. Details are anonymized; numbers are realistic for the vertical.
Operator profile
Starting point
Demos per week: 2. Demo-to-close rate: 12%.
What changed
Built a problem-aware vs solution-aware campaign split, installed multi-touch B2B attribution with Salesforce as source-of-truth, and tied bid strategy to pipeline value, not demo count.
Outcome
Demos per week → 8+. Demo-to-close rate → 22%+.
Each product builds on the previous one. Start where you are, progress at your own pace.
Your YouTube campaigns aren't failing - your attribution model is. A measurement framework that reveals what dashboards hide about top-funnel impact.
Same customer, same $100 order — Triple Whale shows $200 in revenue. It's the attribution model you're using, and it's costing you thousands.
Every system on this page is what we install for our own clients. If you'd rather have us run it with you — or for you — these are the paths.
Your board doesn't care about demo volume. They care about CAC payback and pipeline value. Start with offline conversion attribution so Google learns what a real buyer looks like. Then build the search architecture to scale from 2 qualified demos a week to 8. Every week you run on the wrong signal is another month of CAC data you'll have to re-teach the algorithm.
Or book a free 15-min audit if you're not sure which path fits.
© 2026 Tegra
hello@tegra.co60-min strategy session — pipeline attribution, long-cycle bidding, PMax filtering for B2B intent, and competitor strategy. For founders pre-Series A or stuck under a CAC ceiling.
Full ad ops for B2B SaaS, industrial, or advisory — Google + Meta + ABM + CRM integration. For VC-backed teams at $10K+/mo who need pipeline scale.
Operator profile
Starting point
Trial-to-paid stalled at 5%, cost-per-trial $140, ICP fit on new trials was under 30% — burning runway on the wrong signups.
What changed
Deployed the Landing Page System to build a qualified demo path separate from free trial, added HubSpot offline conversions so Google optimized for ICP-fit trials, and rewrote Search around job-title + pain-point modifiers.
Outcome
Trial-to-paid climbed to 13%, ICP fit on new trials hit 71%, cost-per-paid-customer dropped from $2,800 to $980.
Operator profile
Starting point
Pipeline value flat at $280K/mo despite scaling budget from $12K → $22K; board flagged the paid channel as 'not scaling linearly'.
What changed
Rolled out the AI Agentic System to manage hourly budget shifts across 14 Search campaigns and rebuilt reporting to track pipeline-value-per-dollar instead of MQLs.
Outcome
Pipeline value scaled to $680K/mo on the same $22K, SQL volume 2.4x, CAC payback compressed from 16 to 9 months.
Our head product. AI agents run your full Google Ads stack autonomously — campaign creation, bid strategy, feed optimization, budget shifts. For operators ready to scale past headcount limits.
Already running $50K+/mo in ad spend? See Premium Advisory