We’re not a management agency.
We’re a growth agency.

GoogleChatGPTTikTok
The stack we run daily Google Ads Shopify Claude Code Monday GA4

Selected brands · Past & present

Good company.
Ambitious growth.

From ambitious challengers to established names. Brands we've worked with across ARQ and our founder's track record.

  • Hike Footwear
  • Nootri
  • Kolab
  • PurityLabs
  • PLNKTN.
  • Bright Sport
  • Tiege Hanley
  • CocoBeauty
  • Nordlust
  • Custom Love

And many more... we can't share

01 — the counter

Generated for our clients.

02 — the ai experiment engine

Data-driven experimentation to grow your brand.

Better creative. Stronger offers. Smarter acquisition. We turn customer and performance data into specific tests, build the campaigns and landing pages, and measure what earns the next investment.

Our process · illustrated

03 — the build

Real experiments. Stronger growth decisions.

These are experiments we have built and run across client accounts. From creative concepts and editorial landing pages to Shopping feeds, offer economics and bidding. Open a block to see the change, the measurement and the decision it informs.

01 · CREATIVECreative angle tests
02 · FORMATImage vs video
03 · SEARCHSearch to listicle
04 · JOURNEYAdvertorial funnels
05 · FEEDProduct title tests
06 · OFFERBundle acquisition
07 · SHOPPINGShopping catch-all
08 · ECONOMICSSubscription split
09 · BIDDINGBid target ladders
10 · CATALOGFeed enrichment
00 · GROUNDCustomer insight & economics
11 · KEYSTONELearn. Improve. Repeat.
Creative · landing pages · feeds · offers · biddingeach test informs the next decisionopen a block for the experiment
04 — the compound effect

Winning experiments compound.

Every win becomes a permanent block, and every block lifts the months after it. One account, 22 months, €0 → €23M — and the slope is the point: the last three months alone added €6.5M.

— cumulative revenueone account · pet-care DTCoct 2024 – jul 2026 · platform-tracked
05 — the ARQ operating system

Driven by AI.
Led by the human mind.

Our people set the strategy. ARQ OS connects the work. AI helps analyze signals, prepare proposals and move work forward. We bring the customer understanding, commercial judgment and approval that turn it into a growth decision.

The workflow
Conventional agency workflow
ARQ OS AI + human judgment
01 · Visibility
Conventional workflowSeparate dashboards. Manual checks.
ARQ OSOne cockpit. Connected context.

Account signals, data freshness and work status brought together so we know what needs attention.

02 · Decisions
Conventional workflowRecommendations scattered across chats.
ARQ OSEvidence ready for human review.

Agent Inbox brings the proposal, supporting evidence and review controls into one decision flow.

03 · Execution
Conventional workflowA to-do list handed from person to person.
ARQ OSWorkflows with a traceable outcome.

Track work from preparation through review and execution. A queued task is not a completed change.

04 · Experiments
Conventional workflowA new idea. Another disconnected test.
ARQ OSA documented experiment cycle.

Define the hypothesis, build the test and record the outcome. Use the findings to decide what comes next.

05 · Learning
Conventional workflowFindings buried in the monthly deck.
ARQ OSA record the team can build on.

Keep experiment decisions and results accessible, including stopped tests and inconclusive outcomes.

06 · Accountability
Conventional workflowUpdates that say work is “done”.
ARQ OSSee the status. Inspect the result.

Activity and result records show what ran, what completed and what still needs attention.

The human role

Strategy. Priorities. Judgment. Approval. The system supports the decision. Our team owns the direction, reviews proposed changes and decides what deserves the next investment.

A comparison of working methods. Workflows depend on the account’s connected tools and agreed scope.

06 — attribution & incrementality

Understand attribution.
Measure incremental growth.

Know where sales get credited. Test what creates additional demand. Attribution helps us interpret the customer journey and optimize campaigns. Incrementality asks how many of those sales would have happened without the advertising being tested.

01 / Follow the creditIllustrative example

One sale.
Different stories.

Change the model. Watch the credit move.

Same purchase€120The revenue stays the same.
DiscoveryFirst eligible click€0
ConsiderationSecond eligible click€0
Branded SearchFinal eligible click€120

The last click takes all the credit.

Earlier clicks get €0. The purchase is still worth €120.

How to read this example

A simplified journey with three eligible clicks. Last click assigns all €120 to the final click. This shows allocation, not the causal contribution of each interaction.

Now ask the business question.

02 / Measure the differenceIllustrative controlled test

How much growth
did the ads add?

Compare purchases in equal-sized test and control groups.

Treatment group120 purchases
100 baseline estimate20 estimated additional

Control group: 100 purchases

Estimated incremental purchases+20
+20% liftcompared with control
120 treatment−100 control=20 estimated additional purchases
What makes this a valid test?

These are illustrative numbers, not a client result. The example assumes equal-sized randomized groups, a shared measurement period and consistent conversion definitions. Real studies require sufficient volume, uncertainty estimates and checks for spillover. The red units represent an aggregate estimate, not identifiable individual purchases.

The ARQ approach

Use attribution to guide optimization.
Use incrementality to inform the next investment.

Measurement references: Data-driven attribution ↗ Conversion Lift ↗

Book a call

Forty-five minutes with the founder. Two questions before you book — they tell us whether we can add anything before we take your time.