B2B PPC Services

Build Pipeline, Not Just Lead Volume

  • LinkedIn Ads targeting decision-makers by title and company
  • Funnel-stage campaigns separating awareness from purchase intent
  • CRM attribution connecting closed deals to originating campaigns
  • Micro-conversion tracking for long B2B sales cycles
  • Account-based targeting reaching buying committees, not individuals
  • Bing Ads capturing B2B searches at lower cost
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Need Help with B2B PPC Services

B2B PPC Services

B2B purchases involve multiple stakeholders, sales cycles that stretch from weeks to eighteen months, and buying decisions that no single form submission closes. Running demand-generation campaigns and bottom-of-funnel conversion campaigns under the same budget and the same optimization target produces mediocre results at every stage because the signals that matter are completely different.

CGColors builds B2B PPC campaigns structured around your actual sales funnel: awareness and demand generation at the top, intent capture and demo requests in the middle, and account-based retargeting for active buying committees at the bottom. We connect your CRM to Google Ads so bidding optimizes toward closed revenue, not just form fills, and we configure micro-conversion tracking so campaigns generate optimization data even when monthly demo volume is low. As a Google Partner and Meta Business Partner, we manage campaigns across Google Ads, LinkedIn, Bing, and Meta to build a pipeline your sales team can actually close.

Why B2B Companies Need Specialized PPC

B2B campaigns face three structural challenges that standard PPC setups cannot solve: low monthly conversion volume that starves Google’s bidding algorithm of data, multi-stakeholder buying committees that require account-level targeting rather than individual lead capture, and sales cycles so long that last-click attribution misattributes most of the closed revenue.

  • Google’s smart bidding needs at least 30 conversions per campaign monthly to optimize reliably for B2B lead generation
  • LinkedIn’s MQL-to-SQL conversion rate of 14 to 18% outperforms Google Ads at 7 to 12% for B2B buyers
  • Most B2B buyers consume multiple ad touchpoints across 60 to 180 days before requesting a demo or proposal
  • Consumer-intent traffic drains B2B search budgets without job title and company exclusion targeting in place

Why Choose CGCOLORS For Your PPC Campaign??

  • Funnel-Stage Campaign Architecture

    • We build separate campaigns for demand generation, consideration, and bottom-of-funnel demo requests
    • We match offer type to funnel stage: guides and webinars at the top, case studies and demos at the bottom
    • We set separate bidding strategies per stage so awareness campaigns do not compete for the same signals as conversion campaigns
    • We track MQL volume, MQL-to-SQL rate, and pipeline contribution separately per campaign stage
  • LinkedIn Ads and Account-Based Targeting

    • We target decision-makers by job title, seniority, company size, and industry to reach actual budget holders
    • We run LinkedIn Lead Gen Forms to capture MQLs without requiring prospects to leave the platform
    • We build account lists of your target companies and serve ads to all stakeholders within the buying committee
    • We retarget LinkedIn audiences who engaged with content but did not submit a form or request a demo
  • Google Ads for B2B Intent Capture

    • We build search campaigns targeting high-specificity queries from buyers actively researching solutions like yours
    • We apply job title and company size audience overlays to increase the probability of reaching decision-makers
    • We set micro-conversions such as content downloads and webinar signups to feed bidding data between demo requests
    • We connect your CRM to Google Ads via HubSpot or Salesforce integration for offline conversion import
  • CRM Attribution and Pipeline Tracking

    • We import offline conversions from your CRM linking every closed deal back to its originating campaign and keyword
    • We configure a multi-touch attribution model in Google Analytics 4 to capture the full B2B buying journey
    • We build monthly reports showing cost per MQL, MQL-to-SQL rate, pipeline generated, and cost per closed deal
    • We adjust campaign budgets monthly based on which channels and campaigns produce the most qualified pipeline
  • Bing Ads and Cost Efficiency

    • We run Bing Ads to capture B2B searches at a meaningfully lower cost per click than Google
    • We apply the same audience overlays and negative keyword lists from Google to Bing to maintain lead quality
    • We allocate Bing budget toward high-intent B2B queries where Microsoft device users make up a larger share of searchers
    • We report Bing performance separately from Google to keep pipeline attribution data per platform clean

What’s Included

🔑
Campaign Setup and Strategy
  • Funnel-stage campaign architecture separating demand gen from conversion campaigns
  • Keyword research targeting high-specificity B2B queries by solution type and buyer role
  • Negative keyword lists blocking consumer intent, student traffic, and job seeker searches
  • LinkedIn account list setup with buying committee and job title targeting from day one
🏢
Ad Creative and Extensions
  • Google responsive search ads per funnel stage and offer type
  • LinkedIn Sponsored Content and Lead Gen Form campaigns per persona and funnel stage
  • Gated content offers and demo request landing pages per campaign type
  • Ad extensions: call, sitelink, structured snippet, and promotion assets
📍
Bidding and Budget Management
  • Micro-conversion tracking configured before any campaign goes live
  • CRM integration for offline conversion import and closed deal attribution
  • Separate budgets per funnel stage and platform to keep pipeline data clean
  • Monthly budget reallocation toward the campaigns generating the most qualified pipeline
⚙️
Tracking and Reporting
  • CRM to Google Ads integration via HubSpot, Salesforce, or custom connector
  • Multi-touch attribution model configured in Google Analytics 4
  • LinkedIn campaign performance tracked separately with MQL and SQL reporting
  • Monthly report: cost per MQL, cost per SQL, pipeline generated, and cost per closed deal
✍️
Platform Coverage
  • Google Search Ads
  • Google Display and YouTube retargeting
  • Microsoft Bing Ads
  • LinkedIn Ads: Sponsored Content, Lead Gen Forms, and Message Ads
  • Meta Ads for retargeting and lookalike audience expansion

Our Process for your PPC Campaign

<h3>Our Process for your PPC Campaign</h3>

Blogs

Read More
Who Should Write Your Medical Content: Doctors, Writers, or AI?
23 August, 2026

Who Should Write Your Medical Content: Doctors, Writers, or AI?

Every practice hits the same wall. The SEO plan calls for twenty pages of clinical content. The physicians who could write it authoritatively bill several hundred dollars an hour and have no free evenings. The writers who have time have never treated a patient. And the tool that produces a … Read More “Who Should Write Your Medical Content: Doctors, Writers, or AI?”

Physician Bios Are a Ranking Asset: Building E-E-A-T Signals Page by Page
21 August, 2026

Physician Bios Are a Ranking Asset: Building E-E-A-T Signals Page by Page

Most medical practice websites treat provider bios as an obligation. A headshot, three sentences about where the doctor went to school, maybe a line about enjoying hiking. Published once, never touched again.That page is doing two jobs badly. It is the page prospective patients visit most often before calling, and … Read More “Physician Bios Are a Ranking Asset: Building E-E-A-T Signals Page by Page”

Traffic Dropped but Rankings Held: Diagnosing AI Overview Losses on a Medical Site
19 August, 2026

Traffic Dropped but Rankings Held: Diagnosing AI Overview Losses on a Medical Site

A practice calls its agency in a panic. Organic traffic is down forty percent. Something is broken. Fire someone.Then you open Search Console and the picture makes no sense. Impressions are up. Average position improved. The rankings did not move, or they got better. Only the clicks collapsed.That shape is … Read More “Traffic Dropped but Rankings Held: Diagnosing AI Overview Losses on a Medical Site”

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