Selling across a Saudi store, marketplaces and ad platforms fragments your data into a dozen dashboards that rarely agree with each other. Decisions about stock, pricing and marketing end up made on instinct or on whichever report looks best. A proper analytics foundation gives your team one truthful view of the business, and forecasting turns that view into better buying and campaign decisions. The goal is not more dashboards; it is fewer arguments about whose numbers are right.
What this covers
- Tracking foundation: GA4 and Google Tag Manager implemented correctly for e-commerce events, with data quality checks so numbers can be trusted before anyone builds on them.
- Unified dashboards: Looker Studio reporting that combines store, marketplace and advertising data, with BigQuery as the warehouse when multiple sources need joining.
- Marketplace analytics: Amazon.sa and Noon performance consolidated alongside your own store, so channel comparisons are made on equal terms.
- Profitability reporting: contribution views that account for platform fees, shipping, returns and marketing cost, not just top-line revenue.
- Demand forecasting: sell-through and seasonality analysis that informs purchasing and stock allocation ahead of peaks such as Ramadan and White Friday.
How Innovant delivers
We audit what you currently track, fix the foundation first, and only then build reporting, because dashboards on top of broken data mislead with confidence. Reports are designed around the decisions your team makes weekly, monthly and seasonally, rather than around what is easy to chart. Your team is trained to read and question the numbers, and everything remains in accounts you own. If a report cannot change a decision, we do not build it.
If your reports disagree with each other or with your bank account, start with the data foundation. Talk to an advisor about e-commerce analytics.