Evidence beats adjectives. Inspect the systems behind the claims.

New product, new motion: multiple ICPs, multiple channels, and a freemium funnel where the conversion that matters happens weeks after the click.

Full campaign architecture across ICPs and funnel stages — LinkedIn, Google Search & Demand Gen, Reddit, G2, Capterra — with UTM governance, stage-specific landing pages, and a layered measurement model connecting website intent, product signals, CRM quality and BI reporting.

One documented paid system: every campaign traceable from impression to revenue-quality outcome, product signals feeding paid optimization, and reporting the leadership team runs weekly.

Post-migration: events double-firing or missing, conversion goals pointing at dead URLs, ad platforms and analytics disagreeing badly enough that nobody trusted any number.

Full event taxonomy rebuilt in GTM/GA4: diagnostic events, verified conversion goals, platform alignment, SPA-safe triggers, and reconciliation checks between platforms and the CRM.

A tracking layer the whole funnel could stand on — verified event-by-event, documented, and stable enough to train bidding on real outcomes again.

Contacts created through API and cross-subdomain paths arrived with no source data; first-touch fields were overwritten on later form fills. Marketing couldn't defend spend.

Source-preserving handoff: first-touch UTM properties written once per contact, custom marketing-touch events synced from product analytics, and a shared user key across CRM, product and warehouse.

Pipeline finally carrying its origin: campaign-level attribution in the CRM, "unknown" collapsed to a residual, and channel decisions made on lineage instead of folklore.

CRM, ads, analytics and web data lived in silos; monthly reporting was a copy-paste ritual and every stakeholder kept a private spreadsheet version of the truth.

Data pipelines and automated syncing between the marketing tools, a central warehouse as the single reporting source, and Looker Studio dashboards built on defined, documented metrics.

Standing dashboards replaced the export ritual: one definition per metric, one place to look, and marketing KPIs reported monthly without archaeology.

A growing fashion brand with the classic split-vendor mess: a store, an agency, a feed problem — and nobody owning the whole chain from product data to purchase.

Built the e-commerce site end to end (payments, shipping gateways, variation logic, live chat), Merchant Center feeds with optimization rules, and full-funnel Google + Facebook campaigns with behavioral analysis via analytics, heatmaps and session recordings.

One owner, one system: product changes flowed to feeds, feeds to campaigns, campaigns to measured purchases — with merchandising and sales actions executed inside the same loop.

A launch needed more than a storefront: software and e-commerce architecture, design and development, operational handoffs, ERP setup, warehouse process automation, advertising and reporting had to work together.

Architected and built the commercial layer across software, e-commerce UX, operational workflows, ERP installation, warehouse automation logic, launch advertising and measurement.

A connected launch system: customer-facing commerce, internal operations, inventory/warehouse process, marketing execution and reporting designed as one system rather than separate vendor tasks.

SMBs needing pipelines, not campaigns: each with different offers, budgets and sales processes, none with in-house marketing operations.

Per-client lead-gen stacks: Google Ads with GTM conversion tracking, HubSpot automation (sequences, segmentation, lifecycle), omnichannel LinkedIn outreach with conditional logic, plus conversion-focused WordPress builds.

Repeatable systems handed to clients as documented operating assets: trackable spend, automated follow-up, and websites that carried their own conversion weight.