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.
REVENUE SCALED
APP MAU GROWTH
INDUSTRIES SERVED

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
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 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.
every conversion
weighted by revenue
72% margin
54% margin
9% margin
2% margin
weighted by real
profit + intent score
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 & 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
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
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
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
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.
Audit & consult
We pressure-test accounts, feed and tracking against best practice and your unit economics — surfacing where margin is leaking.
Build the system
Signal, feed, bidding, attribution, personalization: implemented together as one connected setup, not isolated fixes.
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
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