Real Work. Real Results.

GoDataFeed's mapping couldn't handle JavaScript-calculated sale prices, causing Merchant Center violations the moment a promotion started. We built a closed-loop automation — Google Apps Script scraper, GoDataFeed Supplemental Import, and a smart price rule — that runs 24/7 and requires zero client involvement.

A multi-channel e-commerce business selling to both retail consumers and trade buyers (pharmacies, wholesalers) had no way to tell them apart in analytics. We surfaced hidden NetSuite customer data through GTM and passed it to GA4 as user-scoped dimensions — giving them real-time segmentation and a Looker Studio dashboard across all channels.

HubSpot was showing wholesale prices instead of retail prices, and product records were never updating despite sync attempts. The cause: a buried Online Price on line 552 of NetSuite's pricing matrix, and a blank SKU field that meant the integration had never matched a single product correctly.

A roofing client had a high CTR but near-zero conversions. GA4 showed high bounce rate and high time on page simultaneously — a click-forwarding fingerprint. Rather than buying click fraud software (which sophisticated attackers trivially defeat), we analysed demographic segments: known age/gender converted well; Unknown converted at almost nothing. One exclusion. 80% less spend. Same leads.

The client needed revenue data out of SingleOps to calculate real ROAS in Google and Microsoft Ads. The API turned out to be write-only. We built a Playwright headless browser to log in, set the date range, and trigger the report — then used Zapier to grab the emailed CSV, clean it, and upload it to both platforms as offline conversions.

A service business had no system tracking how long clients stayed or what they were worth. We connected the CRM to Google Sheets via Apps Script, captured every client's start and end date, calculated LTV across four time windows, and built a Looker Studio dashboard that showed — by acquisition source — which marketing channels were producing the most valuable long-term clients.

Years of different marketing teams leave large sites with wrong phone numbers scattered across thousands of pages — silently breaking call tracking. We built a batched crawler with error recovery that checks every URL, extracts every phone number, and produces a complete audit report in under two hours. No babysitting, no restarting from scratch if something goes wrong.

Humans test RSAs once or twice a year because it's tedious. We built an AI agent that pulls ad data via the Google Ads API, checks Keyword Planner coverage, scrapes landing page headings, and generates LLM variants — running monthly headline A/B tests with weekly reviews. CTR lifted from ~8% to 10%+ and Quality Scores improved across accounts.

A law firm client needed monthly spend caps per ad group so he could shift budget between practice areas as his caseload shifted — without touching campaigns that had years of history. Google Ads doesn't offer this natively. We built a script that reads a Google Sheet every hour, pauses over-budget ad groups with a tracking label, and resets everything automatically on the first of the month.

Calls from CallRail, form submissions from Gravity Forms, and chats from Client Chat Live were scattered across three platforms. We piped all three into a single Google Sheet — including a headless browser nightly pull for the chat tool with no API — and automated a 5am offline conversion upload to Google and Bing so real case revenue flowed back to both ad platforms.