Inbound · Paid Search

The fastest pipeline channel — when the algorithm knows who buys.

Paid search captures intent at the moment of search. That's the unfair advantage. Most B2B search programs throw it away by optimizing for form-fills. The bid algorithm gets very good at finding people who fill out forms. Pipeline doesn't move.

Verto runs paid search differently. Offline conversion data flowing back from your CRM. Bid algorithm trained on closed-won, not lead-gen. Value-based bidding tied to ICP score. Search becomes the fastest pipeline channel — because the algorithm finally knows what a buyer looks like.

11×

ROAS on opportunities · SnapLogic · value-based bidding tied to CRM signal

Five days. Three deliverables. No pitch deck.

Google Premier Partner Microsoft Select Partner Value-based bidding · Enhanced Conversions API
G2 ★ 4.9

The gap

Why most B2B paid search underperforms.

Form-fill optimized

NO PIPELINE
  • Optimization goal

    Conversion = lead-gen form completed

  • Lead volume · 90 days

    2,847 ↑

  • SQLs · 90 days

    142

  • Pipeline · 90 days

    $0.4M

  • CRM signal flowing back

    None

Result: the algorithm finds more form-fillers. Sales rejects 95%. The CFO asks why search isn't moving pipeline.

Opportunity-optimized

CRM-DRIVEN
  • Optimization goal

    Conversion = SQL · weighted by ARR

  • Lead volume · 90 days

    1,210

  • SQLs · 90 days

    486

  • Pipeline · 90 days

    $3.8M

  • CRM signal flowing back

    Lead · MQL · SQL · Opp · Won via CAPI

Result: fewer leads, more SQLs, ~10× more pipeline. The algorithm learns from closed-won, not from form-fillers.

The campaign settings look fine. Quality scores are healthy. Conversion rates are above industry benchmark. The CFO still asks why search isn't producing pipeline.

The answer is what the algorithm is being told to optimize for.

When a Google Ads campaign optimizes for "leads," it learns from form-fill events. Form-fillers include: students, competitors, vendors, internal team members, and the occasional real buyer. The bid algorithm doesn't know the difference. It learns to find more form-fillers, because that's what counts as success.

Six months later, leads are up. SQLs are flat. Pipeline is flat. The conversation with finance gets harder.

The fix isn't a better campaign structure. The fix is showing the algorithm what a real buyer looks like — by piping deal-stage signals from your CRM back to Google Ads as offline conversions.

Methodology

How we run B2B paid search.

Five components. Each unremarkable on its own. The system is what compounds.

Live · Search → CRM → bid algorithm loop

Paid search to CRM to bid-algorithm closed loop A closed loop showing how a search query becomes a click, then a lead in the CRM, which advances through the pipeline stages — MQL, SQL, Opportunity, Closed-Won — and feeds back to the bid algorithm as offline conversion signal. The bid algorithm then optimizes for the patterns that produce closed-won deals, not the patterns that produce form-fills. Search query GOOGLE · MICROSOFT Click SERVER-SIDE GTM Lead FORM · DEMO · CONTACT CRM PIPELINE STAGES · WEIGHTED FEEDBACK Lead MQL SQL Opp Closed-Won $ARR weight Offline conversion event ENHANCED CONVERSIONS API Bid algorithm · value-based OPTIMIZES FOR CLOSED-WON, NOT FORM-FILLS CLOSED LOOP · ALGORITHM LEARNS WHO BUYS EVERY CRM STAGE BECOMES A CONVERSION EVENT THE ALGORITHM CAN OPTIMIZE AGAINST
01 data layer

1st-party data activation framework.

The foundation. Server-side GTM captures click data. Lead-to-CRM mapping is verified end-to-end. Salesforce, HubSpot, or Marketo deal-stage events flow back to Google Ads through offline conversion uploads or the Enhanced Conversions API. Every CRM stage becomes a conversion event the algorithm can optimize against.

02 bidding

Value-based bidding.

Not all conversions are equal. An MQL from an enterprise account is worth more than an MQL from a five-person startup. We assign conversion values from your CRM data — closed-won ARR, opportunity value, ICP score — so the bid algorithm bids harder on accounts that close.

03 discipline

Negative keyword discipline.

Most B2B search programs lose 20–30% of budget to wrong-fit traffic. Job seekers, students, competitors, free-tier searchers. We audit search terms weekly and build negative lists that compound over time. The audience narrows. The relevance climbs.

04 second engine

Microsoft Advertising as the second engine.

Bing/Microsoft Search runs alongside Google. The cost-per-click is lower. The buyer demographic skews more enterprise. We extend offline conversion tracking to Microsoft so both platforms learn from the same CRM signal.

05 match types

Match-type strategy tied to funnel stage.

BOF queries (transactional intent) get phrase and exact match with high bids. MOF queries (consideration) get broad match with audience layering. TOF queries (problem-aware) usually go to LinkedIn instead — search isn't the right tool for awareness.

What makes it work

The unlock: the algorithm learning who buys.

Everything above only works because the bid algorithm sees deal outcomes. That's the work the Pipeline Intelligence team does — building the data layer that pipes Salesforce, HubSpot, or Marketo deal-stage signals back to Google Ads, Microsoft Advertising, and beyond. On the IRONSCALES account, this drove 2.3× pipeline lift in 90 days on HubSpot offline conversion sync.

Inside Pipeline Intelligence

CRM ↔ Search · offline conversions

CRM-to-Search offline conversion feedback loop Deal-stage signals — Lead, MQL, SQL, Opportunity, Closed-Won — flow bidirectionally between the CRM (HubSpot, Salesforce, Marketo) and the search platforms (Google Ads, Microsoft Advertising) through Enhanced Conversions API. CRM HUBSPOT · SALESFORCE · MARKETO Search platforms GOOGLE ADS · MICROSOFT ADS ENHANCED CONVERSIONS API PIPELINE STAGES · WEIGHTED FEEDBACK Lead MQL SQL Opp Closed-Won Bid algorithm optimizes for revenue, not lead-gen.

Customer voice

Our clients speak for themselves.

G2

4.9 / 5

"Their expertise in optimizing our Google campaigns with a value-based bidding system has had a significant impact on our results."

Andrea S.

Small-Business

Who this fits

Who B2B paid search fits.

Best fit

  • B2B SaaS or B2B technology with measurable search volume in your category
  • CRM (Salesforce, HubSpot, or Marketo) populated with at least six months of opportunity data
  • Sales-led or hybrid motion — paid search captures intent that needs sales to close
  • Monthly search budget of $20,000+ (below this, the algorithm doesn't get enough conversion volume to learn)

Not the right fit yet

  • Brand-new categories with no existing search demand — paid search can't capture intent that doesn't exist yet (start with LinkedIn awareness)
  • Pre-CRM or CRM data quality below baseline — the offline conversion loop has nothing to feed
  • Pure self-serve / PLG with sub-$100 ARPU — search CPCs in B2B don't pencil at that price point

If you're in this column, the Pipeline Assessment will flag what to fix first.

FAQ

Questions B2B marketing leaders ask before signing.

What's the minimum monthly Google Ads budget you work with?
$20,000/month in media spend. Below that, the conversion volume is too low for the algorithm to learn from offline conversion signals reliably.
How long until paid search shows pipeline impact?
The 1st-party data layer takes 3–4 weeks to deploy. Algorithm learning takes another 6–8 weeks. Most engagements show pipeline impact by day 90.
Do you work with both Google Ads and Microsoft Advertising?
Yes. Microsoft is typically 15–20% additional pipeline at lower CPCs. We extend offline conversion tracking to both platforms.
What if our search volume is too low to scale?
Search alone won't carry pipeline if your category has thin demand. We'll surface this in the Pipeline Assessment and recommend LinkedIn awareness as the leading channel until search volume builds.
Can you run paid search without offline conversion tracking?
We can. We don't recommend it. The campaign metrics will look better. The pipeline contribution will be lower.
Do you handle landing page work?
Landing page strategy and conversion rate optimization are part of the engagement. Heavy build work is handled with your in-house team or our design partners.
What's the difference between value-based bidding and target-CPA?
Target-CPA tells the algorithm "find me leads at this price." Value-based bidding tells the algorithm "find me revenue at this efficiency." Different objectives. Pipeline-driven search uses value-based bidding tied to CRM data.

How we engage

Assess. Pilot. Grow.

Day 1 FREE

Pipeline Assessment

Search account audit. Pipeline signal check across GA4, sGTM, CRM. Five days. Thirty-minute debrief.

Day 90 PILOT

Paid Search Pilot Sprint

Fixed fee. Fixed scope. Offline conversion loop deployed. Value-based bidding live. Pipeline target agreed in writing.

Day 90+ ONGOING

Always-On Paid Search

Continuous optimization across Google and Microsoft. Negative keyword discipline. 30-day notice from day one.

Commercial guarantee

No 12-month lock-in. No surprise scope fees. Renewal earned quarterly.

30-day notice from day one

Cancel any time. The contract doesn't trap you.

Fixed-fee pilots, no scope creep

What you signed for is what you pay. Always.

Renewal earned every quarter

Pipeline targets reviewed at QBR. The work earns the next quarter.

One last thing

See whether your search account is feeding pipeline — or feeding the wrong signal. In five days.

The Pipeline Assessment includes a paid search measurement audit and a pipeline signal analysis across GA4, sGTM, and CRM.

Five business days. No commitment.