We catch ranking drops on individual SKUs before sales notices the dip. Finally. The platform tracks 40,000 product URLs and tells us which 12 need our attention this morning.
14%
Share-of-voice recovered
Across 4,200 high-margin SKUs in 11 months
How they got here.
How a DTC brand turned ranking surveillance on 40,000 product pages into a daily, 12-URL action list.
Northstar runs a DTC apparel brand with roughly 40,000 active product URLs across 6 markets. Yuki's team is four people. The old workflow was hopeless: weekly rank exports into a 60-tab Google Sheet, sales noticing a category dip two weeks after it started, no way to know whether the problem was schema, content, internal links, or a stockout.
On SEONova, every product URL gets tracked daily. Anomaly detection groups drops by likely root cause — schema invalid, product feed mismatch, internal-link decay, competitor undercutting — and surfaces just the URLs that need a human looking. The team's morning ritual is a 5-minute scan of an action list that's never more than 15 SKUs long. The Google Sheet is gone.
Eleven months in, Northstar has recovered 14% share-of-voice across their 4,200 highest-margin SKUs. Time-to-detection on category-level drops went from ~12 days to under 6 hours. Yuki's team didn't grow — they just stopped putting out fires they couldn't see starting.
Engines used in this story
By the numbers.
Forty thousand product URLs, four people, one morning action list. The math of ecommerce SEO that finally adds up.
+14%
Recovered on 4.2K SKUs
Highest-margin product lines, 11 months
48×
Faster anomaly detection
From ~12 days to under 6 hours
40K
Product URLs tracked daily
Across 6 markets and 3 languages
< 15
SKUs needing attention/day
Down from a 60-tab spreadsheet
99.7%
Product pages valid
Continuously validated, auto-flagged on break
4
People running the whole operation
Same headcount, 11× the data
More teams, same engine.
Run ecommerce SEO at scale?
Daily rank tracking on every product URL, anomaly detection grouped by root cause, a morning action list short enough to actually finish. Start a 14-day trial — point it at your catalog and watch the first scan populate within an hour.