Most B2B Marketing Drives Traffic, Not Pipeline.
Clicks look good. MQLs look good. But deals don't close.
Sales cycles drag. Attribution is broken. Revenue doesn't follow ad spend.
We've built predictable pipeline for 15+ B2B brands with 6-12 month sales cycles.
See B2B Case StudiesB2B Marketing Challenges
“MQLs don't turn into SQLs”
Marketing drives volume. Sales says leads are garbage.
Lead scoring is broken. Someone downloads a PDF. That doesn't mean buying intent.
You can't tell which campaigns drive qualified pipeline and which waste budget on tire-kickers.
“6-12 month sales cycles make attribution impossible”
First touchpoint to closed deal: 6+ months. 15+ interactions. Dozens of channels.
You can't connect ad spend to revenue. Marketing reports on MQLs. Sales reports on closed deals. Nobody connects the dots.
The board wants ROI. But you can't prove it.
“Marketing and sales are misaligned”
Marketing optimizes for MQLs. Sales optimizes for SQLs.
No shared definition of “qualified lead.” Marketing celebrates volume. Sales rejects 60% of it.
CRM and ad platforms don't talk to each other. Data lives in silos.
How We Build Predictable B2B Pipeline
Build Predictable Pipeline, Not Just Lead Volume
ICP-focused targeting. Company size, industry, tech stack. Reach decision-makers, not researchers.
Multi-stage campaigns. Awareness, consideration, decision. Every stage feeds the next.
Budget allocation by deal stage. Not just top-of-funnel spend. Invest where deals actually close.
Own Every Stage from Click to Closed Deal
Paid ads. Landing pages. Nurture sequences. Demo and sales enablement.
Lead scoring that actually predicts conversion. Not vanity metrics like downloads. Real buying signals.
Sales and marketing alignment. Shared pipeline definition. Shared KPIs. Shared dashboards.
Know Your CAC and Payback Period by Channel
Multi-touch attribution across 6-12 month sales cycles. Track every touchpoint from first click to closed deal.
Pipeline velocity tracking. Know how fast deals move through stages. Spot bottlenecks before they stall pipeline.
Revenue forecasting. Predict closed deals 90 days out. No more guessing at quarterly targets.
B2B Case Studies & Results
Built predictable pipeline for OutGo with 34% CAC reduction
Challenge: 90-day average sales cycle. Couldn't attribute revenue to specific campaigns. Marketing and sales weren't aligned on what “qualified” meant.
What We Did: Implemented multi-touch attribution with Salesforce CRM integration. Rebuilt lead scoring model based on firmographics and behavior signals. Created sales enablement dashboard showing which campaigns drive SQLs, not just MQLs.
62% increase in qualified pipeline generated. 34% CAC reduction. 50% improvement in MQL-to-SQL conversion rate.
What B2B Leaders Say
“OutGo had the pleasure of working with CorePPC for 2 and a half years. Dror managed OutGo's Google Ads campaigns with professionalism and expertise.”
— Hadas S., OutGo
“We are so thankful for our partnership with Coreppc, and consider them our own in-house marketing department.”
— Efrat P., GINA
Ready to Build Predictable Pipeline?
Book a strategy call. We'll audit your attribution model and show you exactly where pipeline is leaking.