Home / Services / Measure · Data Analytics & Reporting
Know what worked. Fund what compounds. Stop arguing from opinions.
Every channel reports success while nobody can trace a customer end to end. We install the measurement layer under your marketing: clean tracking, one attribution model, dashboards your team actually opens, and experiments that settle arguments with data.
The problem
Meta says 40 leads. Google says 34. The CRM says 21. The sales team says half were spam. Every number is “right” inside its own silo — and together they make decision-making impossible. Budget arguments become seniority contests.
The fix is a measurement layer: events that count business outcomes, deduplicated and attributed with one agreed model, surfaced in dashboards built for decisions. When everyone reads the same numbers, the conversation finally becomes about what to do.
Sound familiar?
What we actually do
Four workstreams, run continuously:
The foundation everything trusts.
Numbers with jobs, views with audiences.
Whose lead is it, actually?
Settle it with evidence.
The machine
A governed pipeline — garbage is filtered out at every stage.
Events defined around business outcomes — lead, call, booking, purchase — and fired reliably, server-side where it matters.
Deduplication, spam filtering and naming conventions. One contact, one journey, one record.
One agreed model connecting outcomes to the touches that produced them — documented, not vibes.
Dashboards per audience: executives get trends, marketers get levers, sales gets pipeline truth.
A/B tests with baselines, hypotheses and significance rules — winners ship, losers die.
Monthly reviews where budget moves on evidence. That’s the whole point of the other five stages.
We treat measurement as infrastructure: documented, versioned, and owned by you — not a black box only we can read.
How it works
Every tracking layer tested against reality: events, duplicates, gaps, spam. The honest state of your data, documented.
Event schema defined around outcomes; tracking reimplemented and verified; naming conventions published.
KPI tree agreed with leadership; attribution model selected and documented; baselines recorded.
Role-based dashboards shipped; alerts wired; team trained to read and act, not just look.
First A/B cycle run to significance; monthly decision review cadence established.
Quarterly tracking health checks, model reviews and test roadmap refreshes as the business moves.
Scope of engagement
Proof
“At The Pie Technologies, we are a passionate team of innovators and problem-solvers dedicated to delivering exceptional digital solutions. With expertise in software development and digital marketing, we help businesses grow, thrive, and succeed in today's fast-paced digital landscape.”
FAQ
Three things: honesty (tracking audited against real outcomes, duplicates and spam removed), agreement (one KPI framework and attribution model everyone uses), and action (dashboards structured around decisions, with monthly reviews that move budget). The tools often stay; the system around them is what we build.
Less than you think for tracking and dashboards — those pay off from day one by making spend accountable. Statistical luxuries like confident A/B tests and predictive views need volume; we tell you honestly which analyses your data can and cannot support yet, and what will change that.
The simplest one your data can defend. First-touch credits discovery, last-touch credits conversion, and data-driven models need volume. We select based on your sales cycle and data maturity, document the choice, and revisit it as data accumulates — the worst model is an undocumented one.
They replace the first hour of them — the part where everyone argues about whose numbers are right. With one agreed view, meetings start at the decision layer: what to fund, what to kill, what to test next. That’s the point.
Get a tracking health audit: what your analytics actually record, where the gaps and duplicates are, and what your real cost per lead looks like once the data is honest.
Still comparing options? Ask Alia, our growth assistant — bottom-right corner. She’ll point you to the right service or blueprint, and hand you to a human when she doesn’t know.
