Web Data
Collection, normalization and delivery of public-web data your systems can build on — with quality controls and full lineage.
ExplorePricing clarity from continuous observation
Pricing is the fastest-moving public signal in most markets, and the most misread. A competitor's "price drop" might be a strategy shift, a clearance, a currency artifact or a data error. Heroku's price monitoring separates these cases by pairing every observation with context: availability, promotion framing, historical behavior and cross-market comparison.
The output is a pricing dataset and alert stream your team can trust: matched products, normalized currencies and units, promotional flags, and a history deep enough to distinguish an experiment from a repositioning.
What's included
The moving parts
Product matching
SKU-level matching across retailers with confidence scores and human audit trails — the unglamorous foundation of honest price comparison.
Trend analytics
Price indices by category, brand and segment; distribution tracking; promotion frequency and depth analysis over time.
Availability tracking
Stock states and availability patterns monitored alongside price, because an unavailable competitor price isn't a competitive price.
Alerts & thresholds
Role-configured alerts — direct undercut thresholds, MAP deviations, market-wide moves — delivered to Slack, email or webhooks.
Practice notes
How the discipline is applied
Match quality first
We surface match confidence with every comparison. Wrong matches make pricing decisions worse, not better.
Promotion awareness
Strikethrough, bundle and coupon mechanics are captured and classified, not flattened into a single number.
History depth
Longitudinal storage means seasonality and habitual discounting are visible, not rediscovered annually.
Live monitoring view — category price index
Observed signal
48htypical pilot setup
3gate outcomes: pass / degrade / quarantine
1canonical schema contract
Program defaults from current enterprise engagements.
FAQ
Common questions about price monitoring
Which markets do you cover?
Coverage follows the sources. We operate across most digital-commerce categories and major markets; a scoping exercise confirms the exact retailer set for your category before any commitment.
How is freshness handled?
Per-source cadences from multiple checks daily to weekly, chosen by how volatile each source proves to be. Critical price pages can be monitored near-continuously.
Can we plug this into our pricing engine?
Yes — structured delivery via API or warehouse tables is the default. Many clients feed the matched price data directly into repricing and elasticity models.
Related
Pairs well with
Market Intelligence
Continuous market monitoring that turns competitor moves, category trends and public signals into decision-ready intelligence.
ExploreCompetitive Intelligence
Professional competitor monitoring built on publicly available business information, with the rigor your strategy reviews expect.
ExploreSee price monitoring applied to your market
A 45-minute discovery call and a written feasibility note will tell you more than any brochure. Sample scopes included.
Priya Shah
(Team note) If you’re evaluating monitoring approaches, the Insights article on price monitoring in competitive research covers the matching framework in depth.
Clara Voss
Do alert thresholds support per-category configuration? Our electronics team and grocery team have very different pain tolerances.
3 comments
Match confidence scores shown next to every comparison — finally. We rejected two vendors over ‘black box matching’ before finding this page.