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B2B PIPELINE MODEL · Enterprise SaaS · B2B · LinkedIn + Google

Cost per SQL cut 42% while pipeline grew 3.1×.

Enterprise SaaS optimizing to MQL - cheap leads that never converted. Rebuilt against Salesforce Opportunity with LinkedIn ABM + Google intent measured on a 90+ day window.

-42%
Cost per SQL · Illustrative
3.1×
Pipeline value · Illustrative
6×
TL Ads CTR advantage · Illustrative
90d
Attribution window · Illustrative
CONFIDENTIALITYIllustrative. Figures show the shape of a typical engagement, not a named client result.
DIAGNOSIS

Why the account was underperforming.

Brand and non-brand Google Search collapsed into one campaign - brand efficiency subsidizing non-brand waste. LinkedIn spend on single-image ads, ignoring Thought Leader format that was 6× more efficient. No CRM writeback - every lead scored as MQL, none as SQL.

OPERATING CHANGES

What actually changed.

MOVE 01

Split brand vs non-brand Search

Real budget separation. Brand held its efficiency; non-brand exposed the waste we then cut.

MOVE 02

Pivoted LinkedIn to TL Ads

60% of LinkedIn budget moved to Thought Leader Ads amplifying founder + CRO content. CTR advantage: 6× single-image.

MOVE 03

TAL from CRM

Target Account List uploaded from Salesforce, refreshed monthly. Sequential creative arc against the list.

MOVE 04

Offline conversion upload

SQL and Opportunity data uploaded daily to Google + LinkedIn. Both platforms now optimizing to pipeline, not MQL.

MOVE 05

90-day attribution window

MTA rebuilt on the actual sales cycle. Multi-touch weighted to closed-won.

OUTCOME

What the account looked like after.

Cost per SQL down 42%. Pipeline value 3.1×. LinkedIn CPL up (as expected) - LinkedIn SQL down 38%. Sales team reported qualitative lead quality improvement inside week 3.

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ONBOARD THIS OPERATING PATTERN DEPTH

Bring us your account and the business number.