I make marketing measurable, repeatable, and tied to revenue.

Pipeline intelligence. Built, not reported.

10+ years · B2B + B2C · Revenue Intelligence · ABM · Lifecycle

Pipeline Funnel · Live
Awareness
4.2k
MQL
1.8k
SQL
640
Closed won
180
Expansion
48
Pipeline Velocity
23d
avg MQL → Close
↓ 4 days vs prior
MQL → SQL
8d
SQL → Close
15d
Details · Awareness
4.2k
Reach
+180
43%
Aware→MQL
+2%
3x
Channels
B2B
Email automation drives 38% of Awareness-stage reach — but only 43% converts to MQL. The volume is there. The qualification threshold is the constraint.

WORK

APAC Regional Market Intelligence

A uniform campaign strategy across three APAC markets was suppressing regional conversion potential. Rebuilt campaign architecture around regional psychology, delivering 20% conversion lift and 50% revenue growth.

APAC Regional Market Intelligence
Three markets.
Three purchase truths.
A uniform campaign strategy was suppressing regional conversion potential across three structurally different APAC markets. Click each market to reveal what the data found — and what changed.
Click each market card to reveal its purchase signal
01
Market 1
What drives purchase decisions here?
Market 1
Price-driven market
Dominant purchase signal
ROI & cost justification
Strategic insight
Buyers required a clear cost-benefit case before any engagement. Brand and safety messaging produced near-zero response. Price anchoring and ROI framing unlocked the funnel.
Winning campaign variant
"Cut operational costs by 30% in the first quarter. Here's the math."
+23% conv. Price-led
02
Market 2
What drives purchase decisions here?
Market 2
Safety-driven market
Dominant purchase signal
Compliance & certification
Strategic insight
Buyers were risk-averse and highly regulated. Price messaging was disqualifying — it implied a shortcut. Safety certifications and compliance proof were the actual purchase triggers.
Winning campaign variant
"Certified to the highest regional safety standard. Zero compromise on compliance."
+18% conv. Safety-led
03
Market 3
What drives purchase decisions here?
Market 3
Brand-driven market
Dominant purchase signal
Brand heritage & trust
Strategic insight
Buyers were sophisticated and brand-conscious. Price messaging signalled commodity. Safety was assumed. Brand heritage, market presence, and category leadership drove conversion.
Winning campaign variant
"Trusted by category leaders across 40 markets for over a decade."
+19% conv. Brand-led
Combined APAC outcome — all three markets
20%
Conv. rate lift
Across all 3 markets
50%
Revenue growth
Regional outcome
3x
Campaign variants
One product, three truths
A single campaign strategy was replaced with three market-specific frameworks — each built around the dominant purchase psychology of that region. The same product. Three completely different truths. A/B testing validated all three variants simultaneously, delivering 20% conversion lift and 50% revenue growth across the APAC region.

Win/Loss Revenue Intelligence

The absence of deal outcome intelligence was pushing marketing to optimize for lead volume over revenue quality. Connected campaign source, competitor signals, and deal velocity into a unified analytical system. Gave sales and marketing a shared language for pipeline decisions.

Win/Loss Revenue Intelligence · B2B + B2C

Event-Led Revenue Intelligence

High-intent buyers needed in-person trust signals that digital channels couldn't provide. Built an integrated event framework connecting booth presence to post-event nurture sequences. Generated 2,000+ qualified leads at 6% conversion — 34% converted within 30 days.

B2B/B2C Trade Show & Integrated Event Marketing

Tools

B2B Marketing Intelligence — Interactive Framework

ABM Account
Scoring Simulator

Input twelve account parameters to generate a weighted readiness score. Built on the principle that ICP definition, data hygiene, and intent signal quality determine ABM outcome — not campaign budget. Adjust any variable to see the scoring logic respond in real time.

↑ Previous run: —
Firmographic Fit 01
ICP match: industry, company size, revenue, geography
65
Weak ICP matchPerfect fit
Data Completeness 02
Contact coverage, verified fields, enrichment status
50
Critical gapsFully verified
Intent Signal Strength 03
Composite: first-party behavioural + third-party
surge
40
No signalHigh intent
Buying Committee Coverage 04
% of identified decision-making unit mapped (typical B2B: 6–10 stakeholders)
30
Single contactFull committee map
Engagement Velocity 05
Rate of engagement change — trajectory matters more than absolute level
55
DormantAccelerating
Sales Alignment 06
Sales buy-in, shared account intelligence, agreed outreach cadence
45
No alignmentFully synced
Budget Authority Mapped 07
Economic buyer identified and accessible in the account
Account History 08
Prior relationship context changes activation playbook significantly
Technographic Fit 09
Current stack compatibility with your solution — affects integration complexity and sales cycle
Industry Vertical 10
Vertical match modifies firmographic fit score — ICP-aligned industries add up to 8pts
Pipeline Stage 11
ABM activation intensity and play type should match buying stage
Account Tier 12
Strategic tier determines resource allocation ceiling and review governance
Account Readiness Score
0
—
⚠ Data Completeness below 50 — overall readiness score may be understated. Unverified data reduces intent signal reliability. Prioritise data remediation before treating this score as definitive.
◈ Tier 1 Strategic account below readiness threshold. Do not deprioritise without VP-level review — remediation investment may be justified given strategic account value.
Dimension Profile
Weighted Dimension Breakdown
Strategic Recommendation
—
Weighting methodology: Data completeness (22%) and firmographic fit (25%) carry the highest weight because intent signals applied to an unverified database produce engagement noise — not pipeline. Buying committee coverage is weighted above engagement velocity because multi-stakeholder consensus drives B2B conversion more reliably than single-contact activity. Intent signal strength reflects a composite of first-party behavioural data and third-party surge signals (6sense, Bombora). Industry vertical match modifies the firmographic dimension — an ICP-aligned vertical adds up to 8 points. Scores above 75 indicate readiness for coordinated outreach. Below 50 indicates data remediation should precede campaign activation. Note: this model scores current state — momentum tracking requires time-series comparison across scoring runs.
Framework developed from independent research into enterprise ABM methodology. Weighting logic reflects synthesis of publicly available B2B pipeline research and observed patterns in how data quality upstream affects revenue attribution downstream.

Score confidence is calculated from dimensional variance across all six weighted inputs: High = variance below 15 (dimensions consistent, score reliable); Medium = variance 15–25 (some spread, review breakdown before deciding); Low = variance above 25 (high spread, one dimension may be masking a critical gap — do not act on score alone).

Thinking

01
The MQL lie
Most B2B marketing teams are optimizing for MQL volume while pipeline velocity quietly collapses.
The metric isn't wrong — the threshold is. An MQL without an ICP match rate attached to it is just a name in a database with good timing. When marketing celebrates MQL growth while sales cycle length increases and win rate drops, the measurement system has failed before the campaign has. Fix the definition before you fix the channel.
02
The infrastructure gap
Every marketing leader talks about attribution. Almost none have built the infrastructure that makes it possible.
Clean data pipelines, consent frameworks, multi-touch attribution — these aren't tools problems. They're leadership problems. Someone has to own them before the first campaign launches. The companies with the best attribution data didn't buy a better platform. They had a marketing leader who treated data infrastructure as a strategic asset three years before anyone asked for the dashboard.
03
ABM without scoring
Account-based marketing without a working account scoring model is just expensive email.
The score is the strategy. Without it you're not doing ABM — you're doing outreach with a slide deck that says ABM on the cover. A real account scoring model integrates firmographic fit, data completeness, intent signal strength, and buying committee coverage before a single dollar of coordinated spend is activated. The companies that get ABM right don't have better content. They have better scoring logic.
04
The timing problem
33% of B2B deals are lost not because of the wrong channel — but because marketing arrived too late.
Most teams optimize spend. Almost none optimize timing. Timing is invisible if you're only measuring win rates — you need to connect campaign first-touch data to deal outcome data to see it. When you do, the insight is almost always the same: the channel wasn't the problem. Marketing arrived after the buying decision had already started. Earlier content, not more content, is the lever most B2B teams haven't pulled.
05
The missing lifecycle stage
Every B2B marketing team has an acquisition motion. Almost nobody has built the stage between retention and expansion.
Post-sale, pre-expansion is where NRR is won or lost — and it's the lifecycle stage most frameworks skip entirely. Customers in this stage aren't churning yet. They're deciding whether they care enough to grow with you. A structured engagement sequence at this stage, built on product usage signals and health scoring, is worth more to revenue than most top-of-funnel campaigns. The teams that figure this out stop obsessing over CAC and start protecting the pipeline they've already won.
06
SEO is becoming AEO
The channel formerly known as SEO is becoming Answer Engine Optimization.
The companies optimizing for AI-generated answers today are building the organic moat of 2027. ChatGPT, Perplexity, Google AI Overviews — these systems cite sources, not rankings. The old model was: rank on page one, get the click. The new model is: be the source an AI cites when your buyer asks the question. Most marketing teams haven't noticed the ground has shifted. The ones that have are quietly capturing demand their competitors don't even know exists yet. This isn't a prediction. It's already happening. The question is whether your content strategy brief has been updated to reflect it.
Scroll to read each position
1 / 6
Positions formed from observed patterns in B2B and B2C marketing practice — not predictions, not thought leadership. Just what the data kept showing.
CONTACT
Get in touch
I'm always open to
a good conversation.
About a role, a collaboration, or just the state of B2B marketing in 2026.
Drop me an email — [email protected]
I read everything and reply when there's something worth talking about.
KK