ACQUIRE · CONVERT · RETAIN

Unlock the true potential of advertising.

Most accounts optimize for the wrong outcomes. We engineer clean signals, shift bidding toward true profit, and optimize your budget, your feed and your channels for what compounds, and not what’s convenient.

CPA -58%

REVENUE SCALED
APP MAU GROWTH
INDUSTRIES SERVED

CPA -58%

VELUX OTP BANK XEROPAN EXTREME DIGITAL CARNE GROUP DRONEDEPLOY RAKETECH TRADEWIND FINANCE HONDA CURRENCYFAIR NLB GROUP WESTCON-COMSTOR VELUX OTP BANK XEROPAN EXTREME DIGITAL CARNE GROUP DRONEDEPLOY RAKETECH VELUX OTP BANK XEROPAN EXTREME DIGITAL CARNE GROUP DRONEDEPLOY RAKETECH TRADEWIND FINANCE HONDA CURRENCYFAIR NLB GROUP WESTCON-COMSTOR VELUX OTP BANK XEROPAN EXTREME DIGITAL CARNE GROUP DRONEDEPLOY RAKETECH
WHY ACCOUNTS STALL

More spend isn’t always more growth

The platforms reward whatever you feed them — leads or sales. Revenue alone tells them to chase volume. We feed margin, segments, audiences and more into the mix, so they optimize for actual profit.

01

Optimising for the wrong number

Bidding to top-line metrics (revenue, leads, submissions) grows activity, not profit. The number goes up while margin quietly erodes.

02

Starving the platforms of signal

Consent loss and broken tracking mean algorithms learn from a fraction of conversions… and get it wrong.

03

Your best data never reaches the platform

Product details, customer value, purchase history: it all sits in-house while the algorithm targets and merchandises blind, guessing at what you already know.

04

Budget split by gut feel

Channel budgets are set by last-click dashboards and habit — not by what actually drives incremental profit.
How we optimize your sales engine

Digital marketing, engineered around profit

audience_builder BUILT FROM FIRST-PARTY DATA
TOTAL ADDRESSABLE AUDIENCE398.2K CONTACTS
LOOKALIKE · 310K · 78%
HIGH-LTV · 12% CART ABANDONERS · 3% LOOKALIKE · 78% LAPSED · 7%
High-LTV repeat buyers
48.2K 4.1× LTV
Cart abandoners · 7d
12.6K HOT
Lookalike · top 1% value
310K PROSPECT
Lapsed · win-back
27.4K RE-ENGAGE
FIRST-PARTY CUSTOMER DATA

First-party data activation & precision targeting

Third-party cookies are going away. Your own customer data isn’t. We match your CRM, sales and transaction records with online behavior to build audience segments the platforms can’t get anywhere else — then feed them straight back into your ad accounts, so spend reaches the right people, and nowhere else.

Value-based audiences

Built from purchase history and lifetime value, so budget chases your best customers, not just anyone who clicks

Suppression segments

Excludes existing owners or ineligible customers, so spend is never wasted on people who won’t buy (or won’t buy again).

Your best customers, defined by you

Modeled on your own data, not the platform’s best guess at “similar” traffic.

Rules-based or AI-driven clustering

From proven methods like RFM to statistical and machine-learning models — whatever level of sophistication fits your business.

Behavioral segments

Turns complex on-site and app behavioral patterns into audiences you can actually act on.

Privacy-centric data sharing

Where regulation demands it, we use fully anonymous techniques that are just as effective.

conversion_modelling RECOVERING THE MISSING 35%
WHAT THE PLATFORM ACTUALLY LEARNS FROM100% OF REAL CONVERSIONS
OBSERVED 62%
BASELINERECOVERED BY SIGNAL ENGINEERING  +35%
Tagging fixes & server-side+11%

Consent, ad-blockers and cookie limits stop eating conversions.

Enhanced Conv. & CAPI+9%

Hashed first-party matching lifts match rate to 96%.

Offline sales & CRM+9%

Closed-won replaces form-fills, so junk leads stop looking like wins.

Lead scoring 0–100+6%

Early intent becomes a signal weeks before the real outcome lands.

CONVERSION TRACKING AND MODELLING

Maximizing ad ROI through advanced signal engineering

Bidding algorithms are only as good as what you feed them. Consent changes, browser restrictions, and shallow conversion setups mean most platforms are optimizing on a fraction of what’s actually happening — and often the wrong signal entirely. We rebuild that foundation: recovering lost conversions, weighting them by what they’re actually worth, and making sure every bid decision is working from real, profit-aware data.

Tagging bug fixes and server-side tracking

Recover conversions lost to tagging bugs and consent misconfiguration, ad blockers, browser restrictions, and cookie limits. Platforms learn from what’s actually happening online, not a shrinking sample of it.

Enhanced Conversions & Conversions API

Matches hashed customer data directly with ad platforms, lifting match rates and conversion accuracy even as third-party tracking keeps breaking down.

Offline sales and CRM conversions

Feeds platforms what actually happened after the click — a closed sale, not just a form-fill — so leads that never convert stop looking like wins.

Lead scoring

Turns early behaviors (trial engagement, repeat visits, high-intent actions etc.) into predictive signals platforms can act on immediately. Useful when the real outcome is weeks away, and just as valuable in fast-converting businesses, where it multiplies the data platforms have to optimize on.

margin_aware_bidding SAME FOUR ORDERS, TWO VALUATIONS
ROAS-LED
every conversion
weighted by revenue
€10
€420
€1.2K
€10K
ACCESSORY
72% margin
REPEAT BUYER
54% margin
DISCOUNTED
9% margin
RESALE
2% margin
POAS-LED
weighted by real
profit + intent score
€7.2
€227
€108
€200
COMPOSITE VALUE SCORE · REAL-TIME SKU & SEGMENT PROFIT · +27% MARGIN INCREMENTALITY TEST · ALWAYS-ON
POAS & MARGIN-AWARE BIDDING

Profit-driven bidding & campaign optimization

Most campaigns bid to maximize conversions or revenue — handling a €10 sale and a €10,000 sale, or treating your best customer and your worst, exactly the same. We rebuild the bidding logic around what each conversion is actually worth, so the algorithm chases profit, not just volume.

Margin-weighted bidding

Passes real profit, not a flat conversion count, back to the algorithm — so it optimizes toward your most profitable customers and products, not just your most frequent ones.

Composite value scoring

Combines profit margin with in-session behavioral signals into a single real-time value score, so the platform can tell a high-intent, high-margin customer from a bargain-hunter the moment it matters.

Product- and segment-level profit optimization

In any assortment, some products or services make money and others quietly lose it. We make sure campaigns push the ones that actually improve your bottom line, not just the ones that convert easily.

Continuous incrementality testing

New signals run alongside the old ones before fully replacing them, so every shift in bidding logic is proven to drive real, additional profit, not just measured differently.

product_feed THE CATALOG THE PLATFORM CAN SEE
2,480 SKUs · BEFORE34% BLOCKED OR BLIND
AFTER FEED ENGINEERING100% ELIGIBLE · MARGIN-TAGGED
DISAPPROVED MISSING GTIN / LABEL LIVE HIGH-MARGIN PRIORITY ZOMBIE SKU RECOVERED
FEED HEALTH
100%
INVENTORY & PRICE SYNC
LIVE · IN-SYNC
No ads for out-of-stock or mispriced items.
MARGIN IN THE FEED
SKU-LEVEL
Supplemental feeds carry profit into PMax structure.
DYNAMIC PRICING
MARGIN-SAFE
Rules with a floor — no race to the bottom.
PRODUCT FEED & SHOPPING

Data-driven e-commerce acceleration

Shopping and Performance Max can only advertise what your feed tells them exists. Disapprovals, missing attributes, and stale pricing quietly cap your reach before a single bid is even placed. We keep the feed itself clean, complete, and enriched, and we design the campaign framework around it. This way, every product in your catalog gets a fair shot at the platforms that sell it.

Feed health and enrichment

Fixes disapprovals and fills in the thin or missing attributes (GTINs, categories, custom labels) that quietly cap your Shopping and Performance Max reach.

Real-time inventory and pricing sync

Keeps stock levels and prices accurate as they change, so platforms never advertise something that’s out of stock, discontinued, or priced wrong.

Margin data in the feed itself

Supplemental feeds and custom labels carry profit and margin data straight into your catalog, so Shopping and Performance Max campaigns can be structured — and bid — around what’s actually profitable.

Catalog segmentation for campaign control

Splits your assortment by margin, season, or bestseller status, so high-value products get the visibility and bid priority they deserve instead of blending in with everything else.

Dynamic pricing

Powerful, but easy to misconfigure: get the rules wrong and it races to the bottom instead of protecting margin. We set the logic up properly, so high-margin products stay competitive without giving away profit they didn’t need to.

Zombie SKU recovery

Reroutes low-traffic, but promising SKUs into a dedicated recovery campaign the moment they lose visibility, rebuilding the clicks and conversions Google needs to serve them again.

mmm_incrementality WHERE THE NEXT EURO STILL PAYS OFF
EMAIL / CRMDISPLAYPAID SEARCHSPEND →
HEADROOM LEFT SATURATED CURRENT SPEND
Email / CRM+18%
mROAS 6.4× · far from saturation
Paid Search+9%
mROAS 4.1× · headroom on high-intent
PMax / Shoppinghold
mROAS 3.8× · at efficient frontier
Paid Social−11%
mROAS 2.0× · flattening
Display−16%
mROAS 1.3× · saturated, low lift
PACING · REAL-TIME ON-PACE · VALIDATED BY GEO-LIFT TEST
MMM & INCREMENTALITY

Cross-channel budget optimization

Every channel can be optimized in isolation. Few businesses know how they should be weighted against each other, or how much further any one of them can scale before it stops paying off. We map the whole picture, so budget moves to where it compounds, not just where it’s easy to spend.

Marketing mix modelling

Models each channel’s real contribution, marginal ROAS, and scalability, including offline and brand spend that last-click can’t see. You get a clear answer to which channels are working, and how much further each one can scale.

Marketing spend optimization

Turns MMM results (or a lighter version of them, where a full model isn’t warranted) into an actual budget allocation across channels, so spend shifts to where it compounds, not where it’s already being spent.

Incrementality testing

Validates what the model predicts against real, controlled test-and-learn experiments, so budget decisions rest on proven lift, not just a statistical estimate.

Budget pacing model

Tracks committed budget against real cost, pacing, and results across every channel in one place. Overspend and underdelivery get caught before the quarter ends, not after.

cdp_martech ONE PROFILE, EVERY CHANNEL, SAME MINUTE
WEBAPPPUSHEMAILADSCALLCENTREIN-STOREUNIFIEDPROFILE0.82
0:00
Cart abandoned on web
Event lands in the profile, not tomorrow’s batch.
0:04
Push with the same item
Priced and in stock — checked against live inventory.
0:40
Next-best-offer in app
Chosen on propensity, not last purchase.
4:00
Email, only if no return
Suppressed the moment the order completes.
D+1
Call centre sees it all
A human picks up with the digital context intact.
CONSENT-AWARE · TRACKING & MARKETING OPT-IN GOVERNED SEPARATELY
CDP & MARTECH

Multi- and omnichannel personalization

Most personalization stops at “customers who bought X also bought Y” on a website. Real personalization means every channel (web, app, notifications, email, ads, even a call centre or branch) acts on the same up-to-date picture of who someone is and what they need next.

Behavioral and propensity-based targeting

Uses browsing behavior and predictive scores (not just past purchases) to show the right product, offer, or message before someone has to search for it.

Real-time, cross-channel triggers

An action on your website can trigger a push notification, an email, or a next-best-offer in-app, all within minutes, not the next day’s batch job.

Staff-assisted channel enablement

Feeds the same customer insight to your call centre and in-branch or in-store teams, so a human conversation picks up with the same context digital channels already have.

Consent-aware personalization

Every message and offer respects what the customer has actually agreed to, with tracking and marketing consent governed separately, so personalization never outruns what’s legally and ethically allowed.

organic_ai_search BEING THE ANSWER, NOT JUST A RESULT
AI OVERVIEW · GENERATED ANSWER
“best insulated roof window for a loft”
YOUR PAGE · CITED FORUM REVIEW SITE
STRUCTURED AT BOTH LEVELS
FEED: specs, GTIN, Q&A  ·  PAGE: schema, entities
“brand + product”STOP PAYING TWICE
“buy … online”PAID CARRIES IT
comparison / “best”CONTENT GAP
informationalORGANIC ONLY
ORGANIC HOLDS IT CANNIBALIZED PAID MUST CARRY
BRANDED SEARCH · PROTECTED
The queries people run once they already know you — held before a competitor or review site intercepts the sale.
ORGANIC & AI SEARCH

Search & generative AI visibility

The strongest paid campaigns are built on top of organic authority, not instead of it. Content and search visibility earn the trust that makes people convert once an ad gets them there. We run them together, so organic keeps you visible where you shouldn’t have to pay for clicks, and paid data tells you exactly where organic effort is worth investing next.

Cannibalization and gap analysis

Surfaces every form of internal competition, whether it’s paid duplicating organic rankings you already hold, or two of your own pages fighting for the same query, and shows where organic is weak enough that paid genuinely needs to carry the weight.

Purchase-intent query targeting

Separates high-intent, ready-to-buy search queries from casual browsing traffic, so content and optimization effort goes where it actually drives revenue, not just where it drives clicks.

Generative engine optimization (GEO)

Structures product and content data (Q&As, specs, related items) so AI-driven answers can actually read and cite it, at the feed level as well as the page level, not just optimizing for traditional rankings.

Technical and content SEO

Site structure, crawlability, and content built around what people (and increasingly, AI models) are actually asking, grounded in hard data from your search platforms, not guesswork.

Branded search and reputation control

Identifies the high-intent queries people search once they already know your brand, so a competitor or review site doesn’t capture the customer right before they convert.

strategy_ops ~100-POINT ACCOUNT REVIEW
PASSES · 71 COSTING YOU MONEY · 21 DISTORTING EVERY DECISION · 8
01
Duplicate conversions double-counting
Two tags firing on one purchase inflated ROAS by 1.4×.
CRITICAL
02
Consent Mode misconfigured
31% of sessions never modelled — bidding learns from a fraction.
CRITICAL
03
Primary conversion set to page view
The algorithm optimizes to traffic, not to sales.
HIGH
04
Account structure fights itself
Overlapping campaigns bid against each other on brand.
HIGH
EDUCATION, NOT DEPENDENCY
Your team learns the “why”, not a list of clicks.
HANDS-ON EXECUTION
Ex-Google seniors implement it, not just recommend it.
STRATEGY & OPS

Strategic audits & digital advisory

Most of what’s wrong with an ad account isn’t visible from inside a dashboard. Before we touch a bid or a budget, we audit the account end to end, tell you exactly what’s costing you money, and prioritize what to fix first. Former Google account managers on our team know how these platforms actually score and reward accounts internally, insight most advertisers never get direct access to.

Full-account technical audit

A structured, ~100-point review of tracking, conversion setup, consent, and account configuration, catching the quiet errors (broken tags, misconfigured consent, duplicate conversions) that silently distort every decision built on top of them.

Education, not dependency

We explain the “why” behind every recommendation, so your team understands the account, not just a report telling them what to click.

Hands-on execution

A senior team runs your campaigns directly, so the signal engineering, bidding logic, and audits above aren’t just recommendations sitting in a report; they’re actually implemented, day to day.

HOW WE WORK

From audit to compounding profit

A disciplined loop grounded in Google & Meta best practices and your business fundamentals, powered by data at every step along the way.

01

Audit & consult

We pressure-test accounts, feed and tracking against best practice and your unit economics — surfacing where margin is leaking.

02

Build the system

Signal, feed, bidding, attribution, personalization: implemented together as one connected setup, not isolated fixes.

03

Operate & enable

Even the best setup fails if it’s not run right. We manage accounts directly, or train your team to, so adoption doesn’t quietly slip after the implementation.

RESULTS

Numbers that speak for themselves

Real outcomes from real partnerships — measured, reported and improved every quarter.

Average Client Revenue Growth
Average Client Profit Growth
Average Digital Visibility Increase (AI & Standard Channels)
Leads to Qualified Leads Ratio
E-commerce brand

Scaled €200K → €1.2M monthly revenue in 8 months

Through integrated paid media and CRO, we built a data-driven acquisition engine that kept scaling without wasting budget.

+500% revenue · 8 months · Paid media + CRO
FinTech app

Reduced CPI by 58% and grew MAU by 3× in six months

A combined ASO and user acquisition strategy that aligned messaging, creatives, and channel mix for compound growth.

−58% CPI · 3× MAU · ASO + User Acquisition
SaaS platform

Built a full analytics stack that cut churn by 31%

From scratch to a complete measurement infrastructure — enabling data-driven decisions at every level of the product.

−31% churn · Full analytics stack · Data Strategy
Trusted by growth teams

What our clients say

  • MarketingLens isn’t just a digital marketing agency; they’re true business growth consultants. Their deep understanding of our core business, combined with a concise strategy, robust tracking, and expert data analysis, has been instrumental in scaling our mobile app globally. Thanks to their 15-20 years of experience, we’ve consistently reached our business goals for years. They truly get it.
    A. M. Algharawi
    Owner, Xeropan
  • Berti was our Google account manager who provided us extensive strategic opportunities and reports in relation to Google Ads. Berti has excellent account management skills with sales orient drive and determination. He is a “go-getter”! I would highly recommend Berti , very positive attitude towards work.
    N. Huang
    Global Head of Search Marketing, IWG plc
  • Elite International Motors is very pleased with the performance of MarketingLens. Their team is professional, responsive, and consistently delivers quality results. We’re happy to be working with them and look forward to a continued partnership.
    A true partner!
    A. Domingo
    Executive Administrator, Elite International Motors LLC
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