An agency built on accountability.

Not a vendor you coordinate with from a distance — we work as your colleagues: in your Slack, in your context, and ready to act the moment the numbers move.

Audit your account

Forty-eight hours of senior eyes on every signal in your portfolio — surfaced as a written brief, not a slide deck

Design the plan

A growth thesis built around your numbers, your constraints, and your roadmap — written down, defensible, yours to keep

Embed in your stack

The same two senior operators on your account every week — in your Slack, on your calls, inside your reporting layer

Who We Are

The senior bench on every Scaletrics account.

Collectively, the team has managed tens of millions in annual PPC spend across enterprise SaaS, fintech, and e-commerce portfolios. Three operators — strategy, engineering, acquisition — sit on every engagement from day one.

STRATEGY

Dennis Beytekin

Head of Growth Strategy

Sets the strategic posture on every engagement.

$30M+ad spend managed

Closed-loopmeasurement built in

Built and run paid acquisition for B2B SaaS and e-commerce portfolios at enterprise scale. Designs the conversion modelling, attribution sanity checks, and automation guardrails that make scaling spend safe — and writes the playbooks your team will keep referring back to.

Bid strategyChannel mixAudience architecture

Get in touch with Dennis

ENGINEERING

Ayse Guney

Head of PPC Engineering

Builds the measurement layer behind every recommendation.

80+brands operated

Every changestrategist-reviewed

Eighty-plus brands, multi-million-dollar portfolios. Owns the growth thesis on each account — bid philosophy, channel mix, audience architecture — and personally signs off on every material change before it reaches a live campaign.

Conversion modellingAttribution auditsAutomation guardrails

Get in touch with Ayse

ACQUISITION

Eda Celikoglu

Acquisition & Growth Lead

Scales the funnel fast, without ever scaling the waste.

Full-funnelacquisition engineer

Enterprise-scaleportfolio ops

Specialises in competitive verticals where signal quality and budget efficiency are non-negotiable. Cross-channel portfolio management, audience design, and the structural optimisations that move performance numbers at enterprise scale.

Cross-channel scalingAudience designSignal quality

Get in touch with Eda

Three operators · $70M+ portfolio spend · 180+ brands operated

The scale problem

A $500K/month portfolio generates more optimization signals in a single day than any team can act on in a month.

This isn't a resource problem. It's a structural one. The volume, velocity, and interdependency of modern PPC data has permanently outpaced manual management — and the gap widens every quarter.

◎

01 — Query signal volume

Every search query triggering your ads is a data point — match type, intent, conversion rate, cost-per-click, position, device. No human team can monitor this volume in real time. Systems can.

10,000+

signals/day at $500K spend

◈

02 — Budget decay speed

A budget allocation that's 15% suboptimal doesn't wait for your weekly review. It bleeds, hour by hour, across every day you don't act. The cost of slow decisions is baked directly into your monthly results.

Hourly

compounding on misallocations

⟳

03 — Cross-campaign interference

Campaign A cannibalizing Campaign B. Broad match keywords absorbing budget from exact match. Audience overlaps distorting attribution. These interactions only emerge when the entire portfolio is modeled as a system — not monitored campaign by campaign.

Invisible

without portfolio-level modeling

✓

04 — Performance trajectory gaps

Keywords, ad groups, and landing pages don't fail overnight. They decay gradually, beneath the threshold of manual review cycles, while continuing to consume budget. Early detection requires continuous surveillance — not periodic audits.

Weeks

before manual review catches decay

All six modules running — continuous, simultaneous, without review cycles

Live

Our Methodology

Tactical optimization belongs to the system. Strategic leadership belongs to you.

The best PPC professionals don't spend their days adjusting bids and mining search terms. They define strategy, interpret competitive signals, and build portfolio architectures that compound. Scaletrics handles the executional layer with a precision no team can match — so you operate at the level your expertise deserves.

◎

MACHINE LAYER

Computational Power

Tactical execution at a scale no team can match.

Continuous pattern recognition across all six modules

Deterministic execution on high-confidence signals

No review cycle delays — actions fire when thresholds are met

Every decision logged with full reasoning and measured outcome

The system processes thousands of signals simultaneously — bid dynamics, query intent shifts, budget pacing, keyword decay — without fatigue or review-cycle gaps. It detects what needs to change before delay compounds, and executes with deterministic precision on every validated recommendation.

◈

HUMAN LAYER

Strategic Wisdom

Judgment that no model has yet learned to replicate.

Senior strategist reviews every high-impact recommendation

Competitive and market context injected per engagement

Strategic overrides feed directly back into model calibration

Biweekly performance calls with documented decision rationale

Competitive positioning, brand intent, market timing — these dimensions live outside the data. Your strategist reads the landscape, overrides where the system lacks context, and injects the judgment that separates optimization from actual growth. Every override teaches the system. Every calibration makes it sharper.

Computational precision

Strategic judgement

= Decisions that compound over time

How we think

Computation and judgement aren't the same skill. We let the system handle what doesn't need a strategist — so the strategist is free to do the thinking that actually moves the account.

◎

Variable Isolation

Every optimization hypothesis is tested under controlled conditions — separating the signal under investigation from confounding variables. The system proves what worked, then learns from it.

◈

Transparent Evidence

Every recommendation surfaces its full reasoning path — the data that triggered detection, the statistical test that confirmed significance, and the projected impact bounded by confidence intervals.

⟳

Closed-Loop Learning

Every action's actual outcome is measured against its projection and fed back into the model. Prediction accuracy tightens with every cycle. The system studies the consequences of its own decisions.

Precision Before Execution

Algorithmic → analyst → expert sign-off on every action.

Nothing reaches your dashboard without earning its place there. Every recommendation passes through three validation layers designed to catch different failure modes. The system learns from how experts respond: approvals sharpen confidence, overrides refine models, and strategic adjustments teach it your preferences.

ALGORITHMIC

System Detection

Machine-speed pattern recognition across every campaign metric simultaneously — surfacing anomalies, scoring opportunities, and triggering actions before the cost of delay compounds.

Continuous signal processing across all six modules

Anomaly detection with projected impact ranges

Risk-threshold enforcement without review cycles

CALIBRATION

Analyst Verification

Your dedicated analyst validates every significant recommendation against your specific conversion model, attribution logic, and portfolio history before it advances.

Portfolio-specific model calibration per account

Statistical significance and data integrity checks

Attribution signal validation against your model

STRATEGIC

Expert Sign-Off

A senior PPC strategist applies competitive context, campaign intent, and market timing before every high-impact recommendation reaches your dashboard. Their decisions teach the system.

Campaign intent and competitive landscape review

Seasonal and market context integration

Final confidence scoring — model learns from every call

System flags

Analyst verifies

Expert approves

You act on it

Accountability by Design

Structural transparency across every account we manage.

A system that learns must also be a system you can trust. Every action is logged with its reasoning. Every projection is measured against its outcome. Every expert override is recorded and fed back into the model. This dual commitment — to learning and to transparency — means the system gets smarter while you maintain complete visibility into how and why every decision was made.

◎

Complete Decision Trail

Every action is logged with its full reasoning chain — the data that triggered detection, the threshold that was crossed, the recommendation that followed, and the measured outcome after execution. Not just what changed — why the system believed it should, and whether the prediction was right.

⟳

Predictive Capability Compounds

Each decision cycle expands the system's understanding of your portfolio. As learning deepens — more budget cycles observed, more seasonal patterns internalized, more outcome comparisons recorded — the system's predictive models grow more precise. The longer Scaletrics runs on your account, the sharper every projection becomes.

Get Started

Your portfolio deserves a plan
built specifically around it.

Tell us about your portfolio. We'll identify the structural opportunities, budget dynamics, and strategic levers most likely to move the numbers you're held accountable for.

Portfolio analysis included

No commitment required

Response within one business day

Portfolio Growth Plan

Tailored to your specific account

We review your portfolio structure, spend distribution, and performance data before the first call.

Request your growth plan

Prefer to speak with someone first?

Book a 20-minute intro call with our team

Talk to our team