How I think / How I work

Start with how the buyer buys. Then decide what paid should do.

This is the logic behind how I actually run paid media. I look at where the buyer is, whether we are creating demand or capturing it, and then I build the channel strategy around that.

Paid is distribution. The message, buying stage and channel role decide what that distribution should look like.
01 / Buyer journey

Paid media changes as the buyer changes.

The journey is not linear, but buyers still move through recognisable stages. The message that works at one stage can be completely wrong at another.

Organic SearchChange inLeadershipSearch AdDirectG2 ResearchLinkedIn AdOrganic SearchOrganic SearchAwarenessFacebook AdLLM DiscoveryDirectInstagram AdOrganic SearchYouTube VideoSearch AdConsiderationOrganic SearchUnable to MeetRevenueOrganic SearchLLM DiscoveryLinkedIn AdG2 ResearchWebsite VisitCompetitionNew LeadershipHiringOrganic SearchFacebook AdSearch AdDirectLinkedIn AdOrganic SearchDecisionOrganic SearchLLM Discovery

A buyer can see an ad, search organically, check G2, come back direct, get pulled into a business trigger, disappear for weeks, then return through Search or another channel. That is why I do not judge every paid touchpoint only by whether it generated the final click.

Stage 01

I want to learn

I am trying to understand the category, best practices and what is changing around me.

Best message: Educate
Stage 02

We want a solution

The problem is now important enough that doing nothing has a cost.

Best message: Problem → solution
Stage 03

We want a solution like yours

The buyer understands the category and believes this type of solution could work.

Best message: Proof
Stage 04

We want your solution

The buyer is comparing vendors and building internal consensus.

Best message: Differentiation
Stage 05

We are ready to buy from you

The business case, timing, owners and risk all need to make sense.

Best message: Conversion
02 / Market reality

Most of the market is not ready to buy today.

That is why I do not build the entire paid strategy around demo requests. The 95% and the 5% need different jobs, messages and expectations.

95%Out of market
5%In market

For the 95%

I use paid to distribute useful ideas, problem education, product understanding and proof so the brand becomes familiar before the buying window opens.

For the 5%

I use paid to capture existing intent, make the path to conversion cleaner and stop wasting money on the wrong searches or the wrong people.

03 / Demand Gen

This is the exact demand gen strategy I follow.

The goal is not “get a cheap lead.” The goal is to reach the right accounts, build enough familiarity and trust, and then watch whether that attention turns into real business outcomes.

1. I measure leading + lagging indicators.

Leading indicators tell me whether we are reaching and educating the right accounts. Lagging indicators tell me whether that attention becomes pipeline.

Account Reach Reach Within Accounts Engagement Signals Avg Frequency
SQLs Pipeline Influenced Revenue Generated

2. I prioritise targeting in this order.

I start with the data closest to the business before I broaden into native platform targeting.

1STRetargeting
2NDCRM Data
3RDCompany / Contact Lists + intent signals
4THNative LinkedIn Targeting

3. I structure content into four jobs.

I want the campaign mix to educate buyers, explain the product and reduce risk, not just repeat the same demo message.

Thought leadership

Position the brand as a category expert.

Industry POV, market trends and strategic narratives.

Problem education

Help buyers understand the problem.

Pain points, problem awareness, how-to education, frameworks and playbooks.

Product marketing

Connect the product to the problem.

Solution explainers, capabilities, use cases and before/after impact.

Social proof

Reduce perceived risk.

Customer stories, case studies, testimonials and industry validation.

4. Then I structure the campaign layers around buyer temperature.

Cold prospectingBrand Awareness → Thought Leadership. Engagement / Website Visits → Problem Education.
Retargeting 30–90 daysWebsite Visits → Product Marketing + Social Proof + Demo.
Retargeting 180 daysWebsite Visits → Problem Education + Thought Leadership.
Creative cadenceRefresh the creative every 45–60 days so the message does not go stale.
How execution happens channel by channel
LinkedIn

My main B2B demand creation channel.

I use LinkedIn when I need precision around accounts, personas and buying committees, especially when the market is not actively searching yet.

Cold layerThought leadership + problem education. Brand awareness, engagement and website visits depending on the asset.
30–90 day retargetingProduct marketing + social proof + direct demo/value messaging.
180 day retargetingProblem education + thought leadership to keep the brand familiar without forcing a meeting.
What I watchAccount reach, penetration, frequency, engagement, influenced SQLs and pipeline.
Meta

Cheaper distribution when creative can do more of the work.

I use Meta when I want to scale good creative beyond LinkedIn pricing, especially for retargeting and broader awareness.

Cold layerStrong product stories, problem-led creative, video, UGC-style concepts and social proof.
RetargetingProduct proof, objections, customer stories and stronger conversion asks as intent increases.
Audience approachCRM / account signals where possible, then broader expansion only when the creative is doing its job.
What I watchCreative response, relevant site traffic, conversion quality and what happens in CRM.
YouTube / video

Useful when the product needs more than a static ad.

I use video when showing the product, the problem or the point of view is more persuasive than another image ad.

Best useCategory education, product demos, founder/expert POV, customer proof and retargeting support.
Role in the journeyMostly demand creation and reinforcement, not a channel I expect to close demand by itself.
What I watchReach, view quality, site visits, retargeting pool growth and downstream influence.
04 / Demand Capture

This is the exact demand capture strategy I follow.

These buyers already know they have a problem. I am not trying to create demand here. I am trying to capture the right intent as efficiently as possible.

Buyer intent

They already know the problem.

They are actively looking for tools or vendors to solve it.

Not demand creation

I do not convince them from zero.

I capture buyers who are already in the market.

Core message

“You are looking for this. We provide it.”

The message gets simpler as intent gets stronger.

Efficiency over creativity

This is mainly an efficiency problem.

Right searches, less waste, better conversion and qualified leads to Sales.

01

Brand

Capture users already searching for the company, product, pricing or reviews.

Protect branded demand and stop competitors intercepting it.
02

Competitors

Capture people actively evaluating alternatives, pricing and comparisons.

Strong intent, but the economics need to make sense.
03

Category + feature

High-intent solution searches and more specific capability searches.

Usually the core non-brand layer.
04

Problem terms

Broader problem searches where the buyer may not yet be looking for a specific tool.

I usually go here only after higher-intent demand is covered.
How execution happens channel by channel
Google Search

The main demand capture engine.

This is where I expect the strongest active intent, so most of the work is about structure, query quality and efficiency.

StructureBrand → Competitor → Category/Solution → Feature → Problem.
Weekly workSearch terms, negatives, CPCs, impression share, budget distribution, ad relevance and landing page fit.
What I optimise towardQualified demos / MQLs / SQLs, not conversion volume for its own sake.
Microsoft / Bing

Incremental search demand, not a copy-paste budget sink.

I use Microsoft when there is enough relevant search volume, but I keep a close eye on network settings and placement quality.

StructureMirror the high-intent search architecture first, then expand only where the economics hold.
Quality controlSearch placement, irrelevant audience/display inventory, search terms and lead quality need tighter monitoring.
RoleIncremental capture after the strongest Google demand is covered.
Retargeting

Capture the people who showed intent but did not convert.

Not every in-market buyer converts on the first visit. Retargeting is where I reinforce proof, differentiation and the reason to come back.

LinkedInProduct marketing, customer proof, objections and stronger meeting CTAs for known B2B audiences.
MetaEfficient reminder layer using proof, product and direct value of taking the next step.
What I watchAudience size, frequency, assisted conversions, CRM quality and whether the message matches buyer intent.
05 / After launch

I optimise in a sequence.

I do not expect everything to be obvious on day one. I look for the next useful signal, then move deeper into the funnel as the data gets stronger.

Week 0

Setup

Conversion tracking, keyword lists, ad copy, landing pages and initial projections.

Goal: make sure the account is ready to collect meaningful data.
Week 1

Are people clicking?

I look at CTR, ad relevance and initial CPC.

Goal: validate whether the ads are compelling enough to attract attention.
Week 1–2

Are the right people clicking?

Keyword vs search term, irrelevant queries and negative keywords.

Goal: make sure we are capturing relevant intent.
Week 2–3

Are we capturing enough demand?

Search impression share, auction coverage, budget, bids and quality score.

Goal: understand whether we are showing up enough for the searches that matter.
Week 3–4

Are these people in our ICP?

Company size, industry, persona, CRM enrichment and lead quality.

Goal: make sure the people converting are actually relevant.
Week 4–5

Are conversions becoming qualified pipeline?

Form submissions, demos, trials, SQLs and what Sales is accepting.

Goal: connect the ad account back to pipeline, not just conversion volume.
06 / How I work with clients

The strategy only works if I stay close to the business.

That means talking to Sales, checking CRM data, understanding lead quality and being comfortable when the answer is not obvious immediately.

Ownership

I stay close to the account.

I want to know what changed, why performance moved and what needs attention next.

Feedback loop

I want Sales + RevOps involved.

If the lead quality is poor or attribution looks wrong, I want the real feedback instead of optimising from platform numbers alone.

Testing

I do not change everything together.

I prefer one or two useful changes so we can actually learn what moved performance.

Communication

I will say “I don’t know yet.”

Sometimes the right answer is to test it, observe what happens and learn from it.

Flexibility

No two accounts are the same.

I use frameworks, but I adapt them to the product, buying motion, budget and what the business actually needs.

Partnership

I want to feel embedded.

Paid media works better when it is connected to the rest of marketing and Sales, not managed in a separate box.

Trust matters because not every paid media decision can be explained perfectly before we test it.
Sometimes I’ll have the answer. Sometimes I’ll say, “I don’t know yet. Let’s test it.” Both are part of the job.
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