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For pricing managers & merchandisers

Your category's
price ladder. Daily.

Every competitor SKU mapped to its band. Empty bands surfaced. Every overnight discount flagged. Pricing decisions made on data, not on the screenshot of a competitor's homepage from three weeks ago.

Start Intelligence — $197/mo → Get the report — $97

The problem

You're pricing against last quarter's data. Your competitors moved last night.

Pricing teams run on screenshots. Someone spends a Wednesday afternoon checking ten competitor sites, drops the numbers into a spreadsheet, calls it the “competitive landscape.” Three weeks later it's already wrong.

Meanwhile competitors actually shift prices on a rolling basis — flash sales, seasonal moves, quiet markdowns. By the time you notice a competitor cut their flagship 18%, three weeks of your traffic has already bounced over to compare.

The other thing the spreadsheet hides: where the white space is. The empty band in your category nobody's selling into. The price ceiling everyone's clustered just below. The discount cycle that compounds every six weeks.

The shift

Stop screenshotting competitor pages.
Start reading the price ladder.

The output

Every band. Every seller. Every gap.

847 products from your competitive set, mapped onto the price ladder for your category. The bands with the most density. The bands nobody has touched. Refreshed every morning.

app.scoutr.world / dashboard / pricing

Overview Competitors & Pricing Marketing Products Brand & Sentiment

Category price ladder

847 products · 12 competitors · updated 07:00

Price band Density (products in band) Sellers

Budget

$3 — $25

142 products

8 sellers

Crowded

Mid · your tier

$44 — $98

312 products

11 sellers

Saturated

Upper-mid

$110 — $189

218 products

9 sellers

Active

Premium

$220 — $850

3 products

1 seller

White space

White-space callout

$220–$850 band has 3 products and 1 seller. Reviewers in the upper-mid band repeatedly ask for “something more premium” — demand exists, supply doesn't. A pricing decision worth running upstairs.

Synthesised from 19+ sources · product catalogues, sale flags, review demand signal Next refresh · tomorrow 07:00

Mockup shown. Your actual ladder shows your category, your competitive set, your bands. Refreshed every morning at 07:00 local.

The loop

Three moments. Pricing on data.

Not “optimise pricing” as a slogan. Three concrete plays that change what you bring to the next pricing review.

Daily · 5 min

The overnight scan.

Each morning, check the price-change feed. Which competitors dropped overnight? Which hit a new low? Decide by 9am whether you hold, match, or wait.

01Open the overnight price-change feed.

02Filter for changes > 10% on direct-comp SKUs.

03Decide: hold, match, or watch. Inform ops by 9am.

Weekly · 25 min

The band audit.

Every Monday, audit the price ladder. Which bands gained density? Which thinned out? Where's the new white space? Bring the answers to the merch sync.

01Pull this week's ladder. Compare to four weeks ago.

02Note any band that gained or lost > 15% density.

03Bring the deltas to the Monday merch sync. One-page brief, one chart.

Monthly · 1 hr

The discount-cycle map.

Pull 30 days of competitor sale data. Where do their discount cycles peak? When do they go quiet? Time your promos to hit when their inventory is thin.

01Export the 30-day sale-flag history.

02Plot peak discount weeks per competitor.

03Schedule your promos in their quiet weeks. Capture share before they re-engage.

What you get

Six outputs. Pricing-grade.

Every Monday plus daily price-change alerts. Defensible numbers, not screenshots, when the merch director asks why you're recommending a $5 move.

Category price ladder

Every competitor SKU mapped to its band. Density per band, sellers per band, gaps per band. Refreshed daily.

White-space callouts

Bands with demand signal but no supply. The upper-premium band nobody is selling into. Ranked by demand-to-supply ratio.

Overnight price-change feed

Every competitor SKU that moved overnight. Was/is, % change, sale-flag status. Filterable by your competitive set.

Discount-cycle map

When each competitor runs sales, how deep, how often. Time your promos against their quiet weeks.

Per-SKU price history

Click any product, get the full price timeline. Is this their lowest ever? Or just a routine markdown? Decision on data.

Three-star truth

The swing-voter reviews that reveal where conversion is actually won. Often a price-vs-value story — pricing's job to fix.

What this isn't

Public-list pricing. Not channel-level.

Scoutr reads what's publicly posted on competitor sites — the list price, the on-sale flag, the discount percentage. It doesn't see channel-specific pricing (Amazon vs DTC vs wholesale), promo-code-gated discounts, or B2B contract pricing.

For the founder building toward $10M who wants to know what their direct competitors charge on their own sites, refreshed every morning, this is the right tool. For enterprise channel-pricing analysis with syndicated POS data, NielsenIQ, Circana, and Edge by Ascential operate at that level — expect $1K+/mo and contracts.

Also not a pricing-decision engine. It surfaces the data; the call to hold, match, or move is still yours to make based on margin, positioning, and inventory.

Pricing · $197/mo

Defensible numbers.
Daily refresh.

One $97 report shows you the price ladder for your category today. Intelligence at $197/mo refreshes it every morning — with overnight change feeds, discount cycles, and white-space callouts in the same view.