Built in-house,
for businesses like yours.

One screen that surfaces what is worth acting on today: transactions trending down, budgets left unspent, accounts drifting off pace. Access is scoped per specialist, so everyone sees only the accounts they own. It is the daily hygiene check that stops small problems from becoming end-of-month ones.

The product feed lands in a spreadsheet we can shape directly — filter by category or price, add custom labels for the products that deserve them, fix what the platform exports badly. For clients with no feed at all, a built-in scraper walks the site and generates one from scratch. Changes go live in hours, not sprints.

Meridian measures the impact of every media channel — online and offline — on total sales. It works at a macro level and is privacy-safe: no cookies, no user-level tracking. The result is the real ROI of each channel, cross-channel budget allocation grounded in it, and the ability to simulate an investment scenario before the money is committed to it.

A GTM-based engine assigns an engagement score to each meaningful action on the site: product views, FAQ interactions, the returns page, the about page. The score is pushed straight into the ad platforms, segmented top, middle and bottom of funnel, so retargeting can speak to where someone actually is instead of to everyone who ever visited.

It scans pages automatically and detects configuration errors instantly, whether the site runs a standard CMP or a custom solution. Consent signals that do not meet Google's requirements lose conversion data and shrink audiences without ever throwing an error — this catches them before they show up as an unexplained drop.

A Python analysis cross-references product availability in Google Merchant Center with performance and traffic from Analytics, then puts a figure on the revenue each out-of-stock product is costing you. The output is a clear report, product by product, showing where the money went and what to restock first.

The model calculates the optimal safety stock and the ideal moment to place the next order, sized to cover up to 95% of demand — peak periods included. You get a predictive inventory plan instead of a reaction to a stockout that has already happened.

Upload the exports from both systems and the tool computes the match rate between them, broken down by day, payment method and delivery method. Anomalies are flagged automatically, so a discrepancy stops being a mystery about the data and becomes a specific, fixable tracking bug.

Upload the auction insights report — and, optionally, the results report — and the app charts your metrics against the competition, generates the insights, and exports the whole thing as a PDF. An afternoon in spreadsheets becomes a few minutes.

The platform unifies all four through their APIs and scans the domain for what deserves attention now: quick wins, pages in decline, cannibalisation risk, and openings in AI Overviews and featured snippets. Every opportunity is weighed against real conversion and revenue data from GA4, so the SEO backlog is ordered by ROI rather than by search volume.

The report connects social content to the results in GA4, correlating posts, UTMs, sessions, conversions and media cost. It separates the content that produced business impact from the content that produced numbers — and tells you which is which before the next content plan is written.

Deep research across the brand's digital footprint maps sentiment, trust, category authority, cultural relevance and reputational vulnerabilities, then benchmarks all of it against the main competitors. The output is a strategic diagnosis: dominant narratives, trust gaps, and the conversations worth encouraging — or avoiding.