Price Intel

Monitor and analyze competitor pricing movements, discount patterns, and bundle strategies to inform your own pricing decisions without a race to the bottom.

Pricing decisions made in a vacuum — without visibility into what competitors are doing — almost always end in two failure modes: you leave money on the table by underpricing, or you trigger a discount war that compresses margins across the whole category. Price Intel gives TikTok Shop sellers, Amazon merchants, and multi-channel ecommerce operators a structured framework for monitoring competitor pricing movements, decoding their discount patterns and promotional calendars, and identifying bundle or value-add strategies that let you compete on perceived value rather than raw price. The goal is smarter positioning, not a race to the bottom.

Solves

• Competitor drops price by 20% and you don't know if it's permanent or a flash tactic
• You're about to run a promotion but don't know how deep to discount vs. category norms
• Conversion rate dropped and you can't tell if price competitiveness is the root cause
• You're launching a new SKU and need to set the anchor price relative to competitors
• You manage 10+ SKUs and need a repeatable system for quarterly pricing reviews
• You're entering a new marketplace and need to map the competitive price landscape
• You want to compete on value bundles instead of lowest price but don't know the gap

Quick Reference

Decision	Strong	Acceptable	Weak
Price monitoring cadence	Daily for top 5 competitors via tool	Weekly manual check	Monthly or ad hoc
Discount response strategy	Wait 72h, analyze depth and duration	Match immediately	Ignore or always undercut
Bundle pricing benchmark	Map full bundle value vs. competitors	Price core item only	Assume bundle discount is always better
Promotional calendar	Build 90-day competitor promo calendar	Track major platform events only	React to promos as they appear
Price floor setting	Cost + 30% min margin + competitive floor	Cost + margin only	Match lowest competitor
Competitive data source	Dedicated tool (Jungle Scout, Keepa, etc.)	Manual spot checks	No systematic tracking

Workflow

Step 1 — Define Your Competitive Set

Identify 5–8 direct competitors per SKU. Focus on listings that share your main keyword, price tier (within 30%), and target customer profile. Exclude brand leaders if you can't realistically compete on brand. Document each competitor's ASIN/Shop ID, current price, and primary positioning angle.

Step 2 — Set Up Price Monitoring

Use a price tracking tool (Keepa for Amazon, TikTok Shop's native analytics, or Prisync for multi-channel) to capture daily pricing for your competitive set. Set alerts for price changes >10%. For manual tracking, export a weekly snapshot to the Price History template.

Step 3 — Decode Discount Patterns

For each competitor, categorize their discount behavior over the past 90 days: flash sales (under 48h), event promotions (tied to platform events), everyday low pricing (EDLP), or high-low cycling. This tells you whether a price drop is structural (requires a strategic response) or tactical (can often be ignored).

Step 4 — Map Bundle and Value Positioning

List the top 3–5 bundles or added-value offers each competitor uses. Calculate the implied per-unit price within each bundle. Identify gaps where your competitors are underinvesting.

Step 5 — Build Your Positioning Matrix

Place each SKU on a 2x2: price vs. category average and perceived value vs. competitors. The ideal zone is above-average value at or slightly above average price.

Step 6 — Respond to Competitor Price Events

Wait 72 hours and classify the move. If structural, decide between: (a) price match, (b) value-add response, or (c) differentiation response.

Step 7 — Run Quarterly Pricing Reviews

Every 90 days, audit your full competitive set, identify structural shifts, and update price floors and positioning.