Performance Marketing · AI-POWERED SERVICE

Reach B2B buyers with tighter targeting and better lead quality.

Build LinkedIn campaigns around account fit, buying roles, offers, landing pages, and sales-qualified outcomes.

01 · DIAGNOSE

When is this the right priority?

Use LinkedIn Ads when the buying audience is narrow, deal value is meaningful, and lead quality matters more than cheap clicks.

Leads do not match target accounts or roles

Broad job-title targeting without buying-committee logic

Lead volume with weak commercial intent

Sales and marketing disagree on lead quality

02 · BUILD

What we deliver

Scope is adapted to your maturity, resources, platform, and business bottleneck. Deliverables are designed for real operations, not just presentation decks.

01

ICP & account targeting

Define, implement, and document this work so it can be executed, reviewed, and improved over time.

02

Offer & funnel design

Define, implement, and document this work so it can be executed, reviewed, and improved over time.

03

Campaign & creative testing

Define, implement, and document this work so it can be executed, reviewed, and improved over time.

04

Lead quality feedback loop

Define, implement, and document this work so it can be executed, reviewed, and improved over time.

03 · AI OPERATING LAYER

Human strategy. AI-assisted execution.

AI supports account research, message clustering, test matrices, and lead-quality pattern detection. Humans own targeting, spend, and sales alignment.

AI · research & pattern recognitionHuman · strategy & judgementQA · before publish / activation
04 · OPERATE

From discovery to a learning loop.

We start with the problem, baseline, and decisions that need to improve—not with a tool.

01

Discover

Clarify the current state, define the system, implement with QA, then use results to improve the next cycle.

02

Design

Clarify the current state, define the system, implement with QA, then use results to improve the next cycle.

03

Build

Clarify the current state, define the system, implement with QA, then use results to improve the next cycle.

04

Optimize

Clarify the current state, define the system, implement with QA, then use results to improve the next cycle.

05 · MEASURE

How progress is measured

Each metric needs a baseline and a decision it can support.

Qualified lead rate

Track this against an agreed baseline and use the result to guide the next decision.

Cost per qualified lead

Track this against an agreed baseline and use the result to guide the next decision.

Pipeline contribution

Track this against an agreed baseline and use the result to guide the next decision.

Message learning

Track this against an agreed baseline and use the result to guide the next decision.

06 · FAQ

Frequently asked questions

What is included in LinkedIn Ads?

Scope is adapted to your current maturity, platform, team, and business objective. We start with a baseline, agree priorities, then implement and measure the work that matters most.

How does AI support LinkedIn Ads?

AI supports account research, message clustering, test matrices, and lead-quality pattern detection. Humans own targeting, spend, and sales alignment. AI is used as an operating layer, not as a replacement for accountable specialist judgment.

When is LinkedIn Ads the right starting point?

Use LinkedIn Ads when the buying audience is narrow, deal value is meaningful, and lead quality matters more than cheap clicks.

Can this service connect with other Sorotnamedia capabilities?

Yes. We connect adjacent capabilities when they influence the same customer journey, measurement problem, or commercial outcome.

07 · CONNECT

Related services

Connect adjacent capabilities when they shape the same customer journey.

START WITH THE BUSINESS PROBLEM

Not sure which capability should come first?

Share the objective, bottleneck, channels, and resources you already have. We will map the most useful first move.

Start a Growth Audit →
KNOWLEDGE & EVIDENCE

Learn the system behind this service.

These guides explain the concepts, implementation logic, and validation methods behind the capability. Evidence cases show how the same principles are applied in real work.

Explore the Resources Hub →