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Project

Horizon Media Analytics Flywheel

Cross-channel reporting with margin-aware pacing for mid-market advertiser roster.

Client
Horizon Spark Media Agency
Expertise
Industry, Media
Scope
4 months
Horizon Media Analytics Flywheel

about project

Cross-channel reporting with margin-aware pacing for mid-market advertiser roster.

  • google-bigquery
  • dbt
  • looker

Account teams stitched Sheets Friday nights before client steering meetings.

We centralised pacing, vendor fees, and margin guardrails inside BigQuery marts refreshed hourly.

Looker drills highlight under-pacing channels automatically with remediation tasks in Asana.

Clients receive narrated capsules summarising optimisation suggestions.

Features

  • Margin-aware spend pacing alerts
  • Asana remediation tasks auto-created
  • Narrative email digests via templates
  • Client workspace with annotation
  • Data tests on pipeline freshness

Case
study

OUR
Approach

How we framed the challenge, shipped the solution, and measured outcomes.

Challenge

Legacy tooling could not audit changes at scale.
Stakeholders lacked a single dependable source of KPI truth.

Our approach

Introduced hardened workflows with automation at the bottleneck.
Shipped dashboards with guardrails and explicit ownership.

Results

Client QBR preparation time collapsed.
Revenue leakage from uncapped buys shrank.
Impact

Key metrics

+2.4 pts

Gross margin on managed spend

−1,050 / quarter

Manual reporting hours

+7%

Client retention
Stages

Work in stages

01

Requirement Gathering & Discovery

1

02

Project

However, all complete IoT systems are the same in that they represent the integration of four distinct components: sensors/devices, connectivity, data processing, and a user interface.

03

IOT Projects software

The software then analyzes and transmits the data to users via an app or website.

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