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.
Whether you sell B2B software, $45K–$200K industrial equipment, or $50K–$100K advisory relationships — Google optimizes for form fills. Your CRM tracks closed revenue. These are different signals. PMax sends you students and tire-kickers. Your 60–180 day sales cycle breaks Google's learning window. These systems close that gap: connect your CRM, feed real buyer signals back to Google, and build campaigns around the deals that actually close.
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
Industrial / manufacturing: $8–$15. SaaS: $15–$35. Financial advisory: $15–$35
5–15%
Across SaaS demos, industrial RFQs, and advisory prospect meetings
0
Below 1:3 = unprofitable growth; above 1:5 = underinvesting
30–180 days
SaaS SMB: 30–60 days. Industrial: 6–18 months. Advisory: 60–120 days
$0K+
SaaS: $5K–$50K ARR. Industrial equipment: $45K–$200K. Advisory: $50K–$100K LTV
Google optimizes for form fills. But 80% of your form fills never become qualified opportunities. You're training the algorithm on the wrong signal.
Performance Max doesn't understand B2B. It finds the cheapest conversions — students, job seekers, and people looking for free resources. Not $50K+ buyers.
Google needs conversion data within 7–14 days to optimize. Your deals close in 60–180 days. By the time a lead becomes a customer, Google has already reallocated your budget toward whatever generated the cheapest form fills.
Your sales team knows which leads closed. Google doesn't. Without offline conversion imports, you're optimizing for volume instead of revenue.
“We get 40 demo requests a month but only 5 ever become real opportunities. Google doesn't know the difference — and neither does our current setup.”Reddit r/SaaS
“Spent $18K/mo on Google and our CAC payback blew out to 14 months. Turned out we were training the algorithm on form fills, not closed revenue.”Reddit r/startups
“Problem-aware vs solution-aware keywords are completely different campaigns with different bid strategies. Most B2B accounts treat them the same.”Reddit r/PPC
Before
$280 cost-per-demo, 8% close rate, $3,500 CAC. Google optimizes for form fills that never close. Board asking why paid acquisition isn't scaling.
After
$220 cost-per-demo, 22% close rate, $1,000 CAC — because Google learned what a real buyer looks like through offline conversion data.
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
Demo requests at $180 CPA looking profitable, but only 14% actually became paying customers. Real CAC was $1,300 with a $2,300 payback target slipping to 14 months.
What changed
Separated problem-aware vs solution-aware campaigns, installed Salesforce-connected conversion tracking tied to pipeline value (not demo count), and added retargeting by sales-stage.
Outcome
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.
Pick the path that matches where you are. Build it yourself with the products below, book a 1:1 session for expert eyes on your account, or have us run it for you end-to-end. Every purchase ships with instant access and lifetime updates.
Or book a free 15-min audit if you're not sure which path fits.
60-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.
Demo-to-close rate moved to 22%, bid strategy now optimizes for revenue not MQLs, CAC payback dropped to 8 months.
Operator profile
Starting point
Campaign buying 'industrial parts' broad match, drowning in student queries and international tire-kickers, 1 real RFQ per 90 clicks.
What changed
Rebuilt keyword strategy around part-number + intent modifiers, filtered students/international via IP + negatives, and installed RFQ-quality scoring as the bid signal.
Outcome
RFQ rate moved from 1% to 7%, average RFQ value rose from $8K to $38K, sales team stopped calling Google leads 'junk'.
Operator profile
Starting point
Trial-to-paid conversion stuck at 4% because PMax flooded signups with students hunting 'free HR templates'. MQL→SQL ratio sat at 11% and sales flagged most demos as 'unqualified ICP'.
What changed
Deployed the Landing Page System to split free-trial and book-a-demo flows, rebuilt Search campaigns around competitor + solution-aware terms, and layered the AI Agentic System to shift budget hourly toward SQL-producing keywords.
Outcome
Trial-to-paid rose to 11%, MQL→SQL climbed to 34%, pipeline value per $1 of spend tripled from $4 to $12.
Keyword strategy for B2B: problem-aware vs. solution-aware vs. competitor terms. Campaign architecture for long sales cycles and high-value deals.
Already running $50K+/mo in ad spend? See Premium Advisory