Growth Shop Co.

Building a marketing data platform from integration to reporting output.

Slate combines product strategy, application development, integrations, normalized metric definitions, sync monitoring, and clean reporting exports for lean teams.

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Product
Marketing data and reporting platform
Solutions
Product and web application build
Focus
  • UX
  • Integrations
  • Normalization
  • Exports
Deliverables
  • Architecture
  • Interface
  • Logs
  • Tables
  • Reporting

Project Scope

The data was available, but the path from source systems to usable reporting was manual.

Lean teams often export data from multiple platforms, reconcile different schemas, rebuild calculated metrics, and repeat the same spreadsheet cleanup every reporting period. Sync failures and stale data are difficult to see until a report is already wrong.

Repeated Manual Exports

Every platform produces a different file, naming structure, date treatment, and metric set.

Inconsistent Definitions

Spend, conversion, revenue, campaign, and channel fields require repeated mapping and cleanup.

Limited Data-Health Visibility

Authentication failures, stale data, missing fields, and sync errors are often hidden inside the reporting process.

The Starting Point

The data was available, but the path from source systems to usable reporting was manual.

Lean teams often export data from multiple platforms, reconcile different schemas, rebuild calculated metrics, and repeat the same spreadsheet cleanup every reporting period. Sync failures and stale data are difficult to see until a report is already wrong.

Repeated Manual Exports

Every platform produces a different file, naming structure, date treatment, and metric set.

Inconsistent Definitions

Spend, conversion, revenue, campaign, and channel fields require repeated mapping and cleanup.

Limited Data-Health Visibility

Authentication failures, stale data, missing fields, and sync errors are often hidden inside the reporting process.

The System Built

A governed data flow connects source systems to normalized metrics and usable outputs.

Integration Layer

Connects source accounts, manages authentication, records freshness, and controls sync jobs.

Normalization Layer

Maps source-specific fields into consistent campaigns, spend, traffic, conversion, and revenue structures.

Health and Logs

Shows sync status, row counts, duration, warnings, failures, and the affected source.

Reporting and Exports

Creates usable tables, summaries, and Google Sheets outputs without repeated manual cleanup.

Product Experience

Provides responsive screens for integrations, data, logs, exports, and reporting rather than exposing infrastructure directly.

The Outcome

The sample workspace demonstrates connected performance data, synchronization health, normalized metrics, and export status.

The Impact

The reporting workflow becomes observable, repeatable, and easier to maintain.

One Connection Layer

Source accounts, authentication, freshness, and synchronization are managed in one interface.

Consistent Metric Treatment

Channel-specific fields are translated into governed reporting definitions.

Visible Data Health

Warnings, failed jobs, stale connections, and row counts are visible before they affect a report.

Usable Downstream Output

Clean data can move into dashboards and Google Sheets without rebuilding the same transformations.

Need a custom data product or internal reporting tool?

Growth Shop can scope the interface, data flow, integrations, and reporting output around a specific operating need.

Start a data or web build View web and data services
Project type
Data product and web development
Systems
APIs, database, product UI, exports
Needed outcome
Reliable data flow and usable reporting output