Snoopie: Competitor Tracking

Alert when we're the most expensive in the market. Support configured a market position trigger that alerts me when any of our products is the highest-priced among monitored competitors. Fires about twice a week and each time I evaluate whether our premium pricing is justified. Data-driven pricing confidence.

Five competitor stores were generating a wall of alert emails for every tiny price fluctuation. Support helped me set up threshold filters — I only get notified when prices drop more than 10% or when products are added or removed. My inbox went from 35 alerts a day that actually matter. Game changer for focus.

Archived monitoring for a competitor we stopped tracking. Support showed me the archive feature that preserves all historical data while stopping active monitoring. No deletion risk, data stays accessible for reporting. When we resume monitoring that competitor, the historical baseline is still there.

Store design and banner change tracking is outside Snoopie's scope. Support was upfront about it but suggested combining Snoopie with a visual change detection service. They even recommended a specific tool that integrates with webhooks. Helpful beyond their own product boundaries.

Variant-level price monitoring. Support enabled tracking at the size and color level. Caught a competitor raising prices on larger sizes by 15% while keeping small sizes the same. The size-based pricing strategy would have been invisible at the product level. Granular monitoring reveals granular strategies.

API access for our BI dashboard. Support provided the REST API documentation and authentication setup. Our data analyst pulls competitor data into Tableau daily. The pricing trends look much more actionable in our existing dashboard than in a separate tool. Integration into our workflow was the missing piece.

Competitor review and feedback tracking alongside product data. Support explained that customer review monitoring isn't built in but configured alerts for when competitors add a 'Reviews' or 'Testimonials' collection page. Indirect but it signals when a competitor is emphasizing social proof.

Slack integration for sharing competitor reports. Support set up the Slack webhook that posts daily competitor summaries to our #competitive-intel channel. The team sees updates without me forwarding emails. Collaborative intelligence sharing without extra effort on my part.

Price change timing analysis. Support configured the change timing heatmap that shows when each competitor typically updates prices. Our main rival consistently reprices on Tuesday evenings. We now review their changes Wednesday morning and respond by Thursday. Predictable patterns are exploitable patterns.

Competitor discovery based on our product category. Support showed me the market scan feature that identifies Shopify stores selling similar products. Found three competitors I didn't know existed, two of which were undercutting our prices on key products. The discovery feature expanded our competitive awareness.

SEO meta tag tracking. Support enabled the page title and meta description change detection. Caught a competitor rewriting all their meta titles to target long-tail keywords we weren't covering. We updated our own SEO strategy based on the competitive intelligence.

Restock alerts for previously out-of-stock competitor products. Support set up the restock detection that monitors inventory status and alerts when an out-of-stock item comes back. A competitor restocked their bestseller after two weeks and I had ads running on our equivalent within the hour.

Price comparison matrix showing our prices versus all competitors. Support built a comparison view that shows each of our products alongside every competitor's price for the same or similar items. The matrix highlights where we're overpriced and where we have room. Replaced a manual spreadsheet our team maintained for months.

Market positioning report showing where our prices sit relative to the average. Support configured the market position dashboard that plots our price for each product against the monitored average. Immediately identified 12 products where we were more than 25% above market. Adjusted pricing on eight of them. Data-driven pricing decisions.

Monitoring failure notification. Support enabled the health check alert that notifies me when monitoring on any competitor stops working — URL changes, store closures, or technical issues. No more silently missing competitive data for weeks. The reliability monitoring is as important as the competitive monitoring

Change annotation and decision tracking. Support helped me set up a log where I can tag each competitor change with our response — 'matched', 'ignored', 'countered'. Over time, the log shows our response patterns and helps us standardize our competitive playbook. Turns reactive alerts into strategic data.

Useful for keeping an eye on competitor changes without checking everything manually. I especially like the alerts for new products, price changes, and promotions. It saves a lot of time and helps us notice things earlier than we normally would. Support has also been quick and helpful whenever I needed assistance.

BOGO promotion detection. Support set up the promotion tracker that identifies buy-one-get-one patterns by analyzing product pricing and collection structures. A competitor's BOGO offer was visible in our monitoring before they announced it on social media. Early intelligence is competitive advantage.

Monitoring across different regions. Support confirmed that Snoopie can track any public Shopify store regardless of geographic market. We now monitor three UK competitors from our US dashboard. No restrictions on which markets we can watch.

Store-wide sale detection. Support configured the aggregate price monitor that detects when a significant percentage of a competitor's catalog drops by a similar percentage simultaneously. 'Competitor X just dropped 80% of their catalog by 20%' is more useful than 200 individual price change alerts.