Leveraging Amazon’s Brand Analytics and Promotions

If you’re still launching promotions based on instinct — you’re leaving serious money on the table.

Amazon gives you more customer data than ever before, and with the right strategies, you can combine Brand Analytics with promotions to build precision-driven growth.

Let’s break down how to turn analytics into revenue.

🔍 What Is Amazon Brand Analytics?

It’s a suite of data tools inside Seller Central available to brand-registered sellers. It includes:

  • Amazon Search Terms Report
  • Item Comparison and Alternate Purchase Behavior
  • Demographics
  • Market Basket Analysis
  • Repeat Purchase Behavior

Together, these reports give you visibility into what customers search, what they buy, and how they behave.

📈 How to Use Brand Analytics for Smarter Promotions

1. Amazon Search Terms Report

Shows which keywords customers use to find your ASINs.

Use it to:
✅ Discover which keywords lead to sales
✅ Identify high-volume terms you’re not converting on
✅ Align promos with top-performing search queries

Example: If “organic beard oil” drives clicks but not sales, run a 15% discount promo on your ASIN for that keyword.

2. Repeat Purchase Behavior

Highlights ASINs that people buy again and again.

Use it to:
✅ Identify SKUs worth promoting via Subscribe & Save
✅ Set loyalty discounts for high-repeat items
✅ Time reorder-based promotions effectively

Example: If your collagen powder has a 60-day reorder window, time promos for day 50–55.

3. Market Basket Analysis

Reveals which items are frequently bought together.

Use it to:
✅ Build bundles and cross-promotions
✅ Suggest upsells in A+ content
✅ Create BOGOs or 10% off second-item promos

4. Item Comparison Report

Shows what ASINs your buyers are viewing before/after your product.

Use it to:
✅ Spot competitor threats
✅ Identify price gaps
✅ Target competitor traffic with better promos

Example: If people compare your $25 backpack to a $19 one, try a 10% discount + enhanced content to sway the decision.

🎯 Building Smarter Amazon Promotions

Amazon now offers several promotional tools that work best when backed by analytics.

A. Brand Tailored Promotions

Target:

  • Repeat buyers
  • Cart abandoners
  • Store visitors
  • High spenders

Use loyalty data to segment and offer targeted discounts with higher conversion.

B. Coupons & Percentage-Off Deals

Pair top search term insights with limited-time coupons for visibility + urgency.

Use your Amazon Search Term report to match the right ASIN with the right discount.

C. Virtual Bundles

Pair products from Market Basket data to create:
✅ Higher AOV
✅ Convenience for customers
✅ Strategic promotions

📊 Real-World Use Case

Brand: Eco-friendly kitchen goods
📉 Problem: High ad spend, low AOV
📈 Strategy:

  • Used Market Basket data to identify top 2 frequently bought items
  • Launched virtual bundle with 15% off
  • Ran Brand Tailored Promotion to repeat customers

🎯 Result:

  • 2.4x AOV on bundle sales
  • 18% increase in repeat purchase rate
  • Reduced ACoS by shifting budget toward promos vs ads

⚠️ What to Avoid

❌ Guessing at promotions without backing data
❌ Running the same discount across all SKUs
❌ Ignoring behavior data like repeat timing or basket pairs
❌ Setting promos without measuring redemption impact

✅ Recap: How to Execute

  1. Open Brand Analytics → Look for gold in search terms, repeat buys, and item comparisons
  2. Match Data to Promo Strategy → Decide what kind of offer matches customer behavior
  3. Launch Targeted Campaigns → Use Tailored Promotions, bundles, or coupons
  4. Track Results → Look at redemptions, sales velocity, and LTV changes
  5. Iterate → Refine based on which data-driven promos work best

Final Thought

In 2025, Amazon sellers that thrive won’t be the ones who guess better — they’ll be the ones who use data better.

Brand Analytics + Targeted Promotions = scalable, sustainable growth.

You don’t need a massive ad budget — just a sharper strategy.

The Power of Customer Loyalty Analytics on Amazon

Most Amazon sellers are obsessed with one thing: getting more customers.
But smart brands know the real secret to growth lies in keeping the ones you’ve already earned.

That’s where Customer Loyalty Analytics comes in.

By tracking repeat purchase behavior, lifetime value (LTV), and shopper frequency, you can build a strategy that scales — without scaling your ad budget.

🧠 Why Customer Loyalty Matters More Than Ever

With rising ad costs and increasing competition, relying on a constant stream of new customers is expensive — and unsustainable.

Here’s why loyalty is your edge:
✅ Higher AOV (average order value)
✅ Lower CAC (customer acquisition cost)
✅ Better margin control
✅ Predictable revenue

Amazon now gives us real tools to understand customer behavior — we just need to use them.

🔍 Where to Find Loyalty Analytics in Amazon

1. Brand Analytics: Repeat Purchase Report

  • Shows % of orders that are from repeat customers
  • Available at the ASIN level
  • Look for ASINs with >20–30% repeat buyers
    Use case: Build loyalty promos around these SKUs.

2. Customer Insights Dashboard (beta)

  • Provides behavioral trends like reorder rates and buying frequency
  • Tracks LTV by cohort
  • Offers segmentation by high spenders, recent buyers, etc.

3. Brand Tailored Promotions

  • Reveals which customer segments Amazon identifies as worth targeting
  • Direct access to loyal and high-value buyers
    Use this to test incentives and retention strategies.

📊 Key Metrics to Watch

  • Repeat Purchase Rate (RPR)
  • Time Between Orders (TBO)
  • Average Customer LTV
  • Subscription Conversion Rate
  • Engagement by SKU

🧠 How to Use This Data

1. Reward Repeat Customers

Use Brand Tailored Promotions to offer:
✅ Loyalty discounts
✅ VIP bundles
✅ Reorder reminders

2. Launch Subscription Offers

Analyze repeat timing to trigger Subscribe & Save offers with:

  • Inserts
  • Follow-up messaging
  • Email or Amazon Message Center (where allowed)

3. Personalize Listings Based on Behavior

  • Highlight reorder benefits
  • Suggest common bundles bought by loyal customers
  • Use A+ content to reinforce quality and trust

4. Optimize Inventory Around Reorders

If 30% of your orders come from repeats, ensure those SKUs are never out of stock.

Use loyalty analytics to forecast demand and build better reorder flows.

🧪 Real-World Example

Brand: Premium vitamins
🎯 Goal: Increase reorder frequency
📊 Insight: 40% of top-selling ASIN sales were reorders
📈 Action:

  • Created Brand Tailored Promotions for past buyers
  • Launched bundle packs with subscription options
  • Adjusted inventory to prevent stockouts on top repeat SKUs

📉 Result:

  • 28% lift in monthly recurring revenue
  • 35% decrease in churn
  • Higher ROI on ad spend due to better LTV

⚠️ Mistakes to Avoid

❌ Focusing only on new customer acquisition
❌ Ignoring loyalty data when planning promotions
❌ Letting repeat purchase windows expire without follow-up
❌ Running one-size-fits-all offers

✅ Final Takeaways

🔹 Customer loyalty is one of the most under-leveraged growth levers in Amazon today.

🔹 Amazon is finally giving us the tools to measure and act on it.

🔹 You don’t need to guess. Use the data. Target the right people. And build a base that buys again and again.

Next Steps:

  1. Check your Repeat Purchase Report
  2. Identify your top reorder SKUs
  3. Build promotions or bundles for repeat customers
  4. Monitor engagement — and scale what works

Identifying Promising Customers on Amazon

In Amazon’s hyper-competitive landscape, it’s no longer enough to just drive traffic — you need to target the right people.

That means identifying your most promising customers — those who are more likely to:
✅ Buy multiple times
✅ Spend more per order
✅ Stick with your brand
✅ Leave reviews and referrals

Let’s unpack how to find them — and how to turn that insight into scalable growth.

🧠 What Are “Promising Customers”?

They’re the ones who have the potential to drive more revenue without extra effort.

They often:

  • Reorder regularly
  • Respond well to promotions
  • Buy across multiple SKUs
  • Engage with your Storefront or content
  • Fall into key demographic or behavioral segments

🔍 Where to Find the Data

1. Brand Analytics (Repeat Purchase Behavior)

This report shows which ASINs have high reorder potential. Look for:
✅ High % of repeat orders
✅ Short reorder cycles (30–60 days)
✅ Consistent SKU-level interest

2. Customer Insights Dashboard (if available)

Use to analyze:

  • Average order value (AOV)
  • Time between purchases
  • Order frequency by customer cohort

3. Brand Tailored Promotions Audience Options

Amazon gives access to customer segments like:

  • High spenders
  • Recent buyers
  • Storefront visitors
  • Cart abandoners
  • Repeat purchasers

Each one can reveal who’s most likely to engage with your brand.

📊 Segmenting Promising Customers

Once you have your data, break them into groups:

  1. Loyal Repeat Buyers – These are gold. Keep them close.
  2. High-Spend Customers – Big basket sizes = big LTV.
  3. Cart Abandoners – They almost converted.
  4. Engaged Visitors – Storefront and Brand Page activity shows interest.

🧠 Strategies to Target & Convert Them

1. Brand Tailored Promotions

Run exclusive discounts to:
✅ Repeat buyers
✅ Visitors who didn’t convert
✅ High spenders to reward loyalty

2. Amazon DSP for Retargeting

For brands with access to DSP:
🎯 Retarget high-intent audiences with:

  • New product launches
  • Bundle deals
  • Loyalty perks

3. Listing & Storefront Personalization

Optimize messaging for your best segments:

  • Create A+ modules that speak to loyalty/repeat value
  • Show product use cases based on high-spend behavior
  • Feature bundles that your top buyers are most likely to grab

4. Subscription Push

If you sell consumables, use:
✅ Inserts
✅ A+ content
✅ Tailored promos
…to encourage Subscribe & Save.

🧪 Real-World Example

Brand: Premium pet supplements
📉 Problem: Declining AOV and fewer reviews
📈 Strategy:

  • Used Brand Analytics to find top SKUs with high reorder rates
  • Created bundles just for repeat buyers
  • Launched Brand Tailored Promotions targeting high-spenders

📊 Results:

  • 23% increase in average order value
  • 33% boost in repeat purchases
  • Positive sentiment in reviews about “VIP perks”

⚠️ Mistakes to Avoid

❌ Targeting everyone the same way
❌ Ignoring LTV and just chasing conversion
❌ Running promos without segment logic
❌ Missing data in your post-purchase analysis

✅ Key Takeaways

🔹 Not all customers are created equal
🔹 Find the ones that matter most — and invest in them
🔹 Use Brand Analytics, DSP, and Tailored Promotions
🔹 Build loyalty early with bundles, perks, and subscription
🔹 Track cohort behavior and LTV over time

Final Word

Your most promising customers are already there — buried in your data.

✅ Find them
✅ Segment them
✅ Serve them strategically

The result?
📈 Higher margins
📈 Lower ad costs
📈 Sustainable growth

The Power of Brand Tailored Promotions on Amazon

Amazon continues to roll out tools that give brands more control — and Brand Tailored Promotions (BTPs) are one of the most powerful yet underutilized features on the platform.

When used strategically, BTPs allow sellers to:
✅ Retain loyal customers
✅ Convert warm traffic
✅ Create VIP shopping experiences
✅ Increase conversion without increasing ad spend

Let’s unpack how BTPs work — and why your brand should be using them in 2025.

🧠 What Are Brand Tailored Promotions?

Amazon’s Brand Tailored Promotions allow you to offer personalized discounts to specific customer groups — but only those customers can see them.

Unlike standard coupons or site-wide deals, BTPs let you segment offers based on actual behavior and engagement, such as:

  • Visitors to your Storefront
  • Cart abandoners
  • Repeat buyers
  • High-spend customers
  • Recent purchasers

🎯 Why Use Brand Tailored Promotions?

Here’s what makes BTPs so powerful:

✅ Hyper-targeted – Speak to buyers with intent
✅ No additional ad spend – These are organic promos
✅ Boosts loyalty – Reward high-value customers
✅ Increases LTV – Encourage reorders and repeat purchases
✅ Data-backed – You choose who gets the offer based on Amazon behavior

🔧 How to Set Up a Brand Tailored Promotion

  1. Log into Seller Central
  2. Go to Advertising > Brand Tailored Promotions
  3. Choose your target audience segment
  4. Select the ASIN(s) you want to promote
  5. Set your discount percentage and duration
  6. Review, confirm, and launch!

Amazon handles the targeting and display — you just need to craft the right offer.

💡 5 Promotion Types to Try

1. Thank You Discount for Repeat Buyers

Message: “Thanks for coming back! Here’s 15% off your next purchase.”
Why it works: Makes customers feel seen and valued.

2. Win-Back Cart Abandoners

Message: “Still thinking it over? Grab 10% off while it lasts.”
Why it works: Creates urgency to act on warm interest.

3. Exclusive Bundle for Store Visitors

Message: “Since you browsed our store, here’s a deal just for you.”
Why it works: Converts shoppers still on the fence.

4. Loyalty Rewards for High-Spend Customers

Message: “You’ve spent $100+ with us — now enjoy a VIP discount!”
Why it works: Builds retention with high-value shoppers.

5. Follow-Up Discount After First Purchase

Message: “Loved your first order? Take 15% off your next one!”
Why it works: Encourages deeper engagement after a good experience.

🧪 Real Example: Beauty Brand Case Study

📍 Challenge: Stagnant sales from repeat buyers
📍 Strategy: Used BTPs to target repeat customers with a “VIP 20% Off” offer
📍 Execution: Activated across 3 ASINs with high repurchase potential
📍 Result:

  • Repeat purchase rate rose by 41%
  • Organic conversion increased
  • Cost per order dropped (due to no ad spend required)

⚠️ Common Mistakes to Avoid

❌ Offering the same deal to every segment
❌ Using weak or generic messaging
❌ Forgetting to track redemption rates
❌ Setting too short of a promo window
❌ Not pairing BTPs with follow-up strategies (packaging inserts, DSP)

📊 How to Measure Success

Use the BTP dashboard in Seller Central to track:

  • Redemption Rate
  • Units Sold
  • Revenue Generated
  • Audience Performance (which segments respond best)

You can also monitor LTV and reorder rate metrics over time to assess retention lift.

✅ Take Action Now

  1. Audit your Amazon performance — which segments are worth targeting?
  2. Start with repeat customers or brand page visitors
  3. Craft an offer that speaks directly to their behavior
  4. Launch your first BTP this week
  5. Review performance — and iterate

Final Word

Brand Tailored Promotions are a zero-waste marketing tactic — you’re not guessing, you’re not blasting everyone, and you’re not wasting ad dollars.

Instead, you’re building relationships with the people who are already closest to buying.

Use it right — and you’ll see more loyalty, more conversions, and more profit.

How to Leverage Brand Tailored Promotions on Amazon

Amazon keeps releasing new tools — but only a few of them are real game changers.
Brand Tailored Promotions (BTPs) are one of them.

Used correctly, they allow sellers to:
✅ Run personalized offers to high-intent segments
✅ Increase repeat purchase rates
✅ Lower ad spend while boosting conversion
✅ Create a better brand experience — all within Amazon

Let’s dive into how this powerful feature works — and how to make it part of your 2025 growth strategy.

🧠 What Are Brand Tailored Promotions?

Amazon’s BTPs allow you to create exclusive, targeted discounts for different customer segments, including:

  • Repeat customers
  • High-spend customers
  • Brand store visitors
  • Cart abandoners
  • Recent buyers
  • Top percentage of loyal customers

These promos appear directly in eligible shoppers’ feeds — and are only visible to them.

🎯 Why Use Brand Tailored Promotions?

  1. Highly Targeted: You can customize offers for the people who matter most.
  2. No Ad Spend: These promos appear organically to shoppers already engaged with your brand.
  3. Increased Conversion: These buyers already trust you — you’re just nudging them to act.
  4. Customer Loyalty: Rewarding repeat shoppers builds long-term value.

🔧 How to Set Up a Brand Tailored Promotion

  1. Go to Advertising > Brand Tailored Promotions in Seller Central
  2. Select your audience segment
  3. Choose the ASINs and discount type
  4. Set your offer duration
  5. Monitor performance via the promotions dashboard

You must be brand-registered to access this tool.

💡 Segment Strategies That Work

1. Repeat Customers

Offer a loyalty thank-you:

  • “Welcome back – enjoy 10% off your next order”
  • “You’re one of our VIPs. This one’s for you…”

Works best when combined with:
✅ Inserts that tease the offer
✅ Email follow-ups (if permitted)
✅ Subscribe & Save cross-promotion

2. Cart Abandoners

Target users who added your product to their cart but didn’t complete the checkout.

Offer a gentle nudge:

  • “Still thinking about it? Save 15% now”
  • “Your cart is calling – here’s 10% to come back”

Make sure your offer has urgency or scarcity to create action.

3. Brand Store Visitors

Someone who browses your store is interested — but may not be ready to buy.

Engage them with:

  • “Thanks for visiting our store — enjoy 10% off”
  • “Ready to try us out? Take 15% off your first order”

Use this as a conversion bridge to capture warm traffic.

4. High-Spend Buyers

Offer bulk-buy discounts, exclusive bundles, or early access to new products.

Messaging like:

  • “Our best customers get the best deals”
  • “Thanks for spending with us — here’s your VIP perk”

These buyers are often your highest LTV — reward accordingly.

🧪 Real-World Case Study

A supplement brand created BTPs for repeat buyers offering 15% off a 3-pack.

Results:

  • 📈 Repeat orders increased by 38%
  • 📉 ACoS dropped 27% due to lower paid re-acquisition
  • 💬 Customers left reviews thanking the brand for loyalty rewards

🚫 Common Mistakes to Avoid

❌ Targeting the wrong audience with generic discounts
❌ Offering low-value or confusing promotions
❌ Not tracking conversion lift or ROI
❌ Failing to promote the offer post-purchase (inserts, social, email)

📊 Measuring Success

Track metrics like:

  • Redemption rate
  • Conversion rate by segment
  • Post-offer reviews
  • Customer LTV after promo engagement

✅ Final Thoughts

Brand Tailored Promotions are one of the most underutilized tools Amazon gives sellers.

They combine:
✅ Personalization
✅ Trust
✅ Strategic timing
✅ Cost-effective conversion

If you’re already brand-registered and not using BTPs — you’re missing out on one of the highest ROI tactics of 2025.

Targeting Declining Top-Tier Customers on Amazon

It’s one of the most painful but preventable revenue losses an Amazon seller can face:

➡️ High-value customers…
➡️ Slowly stop buying…
➡️ And you don’t realize it until your LTV falls off a cliff.

This post is about how to spot early signs of VIP customer drop-off — and what you can do to win them back.

💡 Why Top-Tier Customers Are Critical

A few facts:

  • Top 20% of customers often drive 60–80% of your profits
  • These customers have higher AOV, more repeat purchases, and lower return rates
  • But when they stop buying, your whole revenue model weakens

📉 Common Reasons High-Spend Customers Drop Off

  1. Lack of post-purchase engagement
  2. Better offer from a competitor
  3. Shipping, price, or packaging fatigue
  4. No new reason to come back (no fresh product or bundle strategy)
  5. No loyalty experience or value beyond transaction

📊 How to Identify Drop-Offs

1. Amazon Brand Analytics – Repeat Purchase Behavior

✅ Sort by ASIN
✅ Look at decline in repeat frequency or reorder window over time

2. Search Query Performance Report

📉 Is there a decline in branded search or ASIN-related searches?
That could mean less loyalty and engagement.

3. Customer Reviews

Look for signs in language:

  • “I used to love this…”
  • “Shipping slower than before…”
  • “Product used to be better…”

Negative signals from past loyal customers are often buried in reviews.

🔁 5 Retention Strategies That Bring Back Top Buyers

1. Launch VIP Offers

Create exclusive discounts or bundles only visible to repeat buyers:
✅ “Thanks for being a loyal customer” emails
✅ Hidden bundles on Amazon with slightly higher value
✅ Loyalty inserts with access to future rewards

2. Use DSP to Retarget High-LTV Segments

Amazon’s DSP platform allows for precision remarketing:
✅ Run campaigns based on past purchase behavior
✅ Serve them new product promos, loyalty content, or value bundles
✅ Time ads for reorder windows (e.g., 30, 60, 90 days)

3. Introduce Fresh Variations or Bundles

Your top customers may love your product — but they get tired of the same offering.

Solutions:
✅ Add flavor/size/feature variations
✅ Launch limited editions
✅ Bundle with complementary ASINs

4. Improve the Post-Purchase Experience

Once the product arrives, most sellers go quiet.

Stand out by:

  • Sending usage guides or product tips
  • Including a QR code for a bonus gift
  • Offering a reorder discount via insert
  • Creating a feedback loop that encourages reviews or referrals

5. Subscription & Save Optimization

If you offer consumables or repeat-use items:
✅ Highlight Subscribe & Save in images and A+ content
✅ Offer deeper discounts for loyalty
✅ Remind customers of reorder benefits on packaging

🧪 Real Example: Home Goods Brand

Challenge:
60% of repeat business vanished over 6 months.

Strategy:
✅ Reviewed Brand Analytics for top 5 ASINs
✅ Identified drop in reorders from 90-day to 150+ days
✅ Launched loyalty bundles with extra accessories
✅ Used DSP to serve ads 80 days post-purchase
✅ Added handwritten note with reactivation code

Results:
📈 LTV increased by 22%
🔁 Reorder window shortened back to 90 days
💬 Customers referenced “great service” in new reviews

❌ Mistakes to Avoid

  • Treating all customers the same
  • Assuming loyalty = lifetime value
  • Relying only on price as an incentive
  • Not tracking reorder windows or frequency changes
  • Ignoring signals from reviews or branded search drops

✅ How to Take Action

🔹 Review repeat purchase reports — find declining frequency
🔹 Build a retention plan: bundles, follow-ups, reactivation offers
🔹 Segment high-spend customers in DSP (if available)
🔹 Build loyalty incentives into inserts and packaging
🔹 Track LTV shifts monthly

Final Thought

Retention is the cheapest way to grow revenue — and yet most sellers overlook it until it’s too late.

Don’t let your best customers quietly slip away.

🧠 Identify.
🎯 Re-engage.
📈 Grow.

Strategies for Engaging High-Spend Customers on Amazon

Every Amazon brand has them — the small percentage of customers who generate the majority of revenue.

They:
✅ Buy higher-priced items
✅ Order more often
✅ Leave better reviews
✅ Spend consistently over time

They’re your high-spend customers — and if you’re not actively engaging them, you’re missing massive revenue potential.

Let’s explore how to identify, target, and retain these valuable shoppers.

🧠 Why High-Spend Customers Matter

According to various ecommerce studies:
📊 The top 20% of customers often generate 60–80% of profits
📉 Yet most brands focus their budget only on acquisition

The opportunity?
Focus on retention and loyalty strategies for high-value shoppers.

🔍 How to Identify High-Spend Customers on Amazon

1. Amazon Brand Analytics – Repeat Purchase Behavior

Breaks down reorder rates and average spend per ASIN.
Look for:
✅ Products with high repeat frequency
✅ Customers who order bundles or multiple SKUs

2. Search Query Performance Report (SQPR)

Look at branded searches and terms with high conversion.
These often come from loyal, returning buyers.

3. Amazon Subscribe & Save Data

High-S&S adoption = loyal, consistent spenders.
Focus offers and product lines here.

🎯 Strategies to Engage High-Spend Buyers

1. Tailored Bundles and Premium SKUs

✅ Offer value-packed bundles
✅ Include exclusive items or added features
✅ Upsell to multipacks or larger sizes

Why it works:
High-spend customers are often looking for convenience and value — not discounts.

2. Create Loyalty Through Packaging and Inserts

Use packaging to:
✅ Educate
✅ Delight
✅ Prompt reviews and S&S enrollments

Inserts can offer:

  • “Thanks for being a VIP!” messaging
  • Invitations to join a mailing list or receive a free gift
  • Discount code for future orders

3. DSP Retargeting for High-Value Segments

Amazon DSP allows for advanced targeting:
✅ Past purchasers of specific ASINs
✅ Customers who spend over a threshold
✅ LTV-based segmentation (if you’re brand registered)

Run remarketing ads with:

  • New product launches
  • Loyalty incentives
  • Brand storytelling

4. Optimize Post-Purchase Experience

After delivery:
✔️ Follow up with thank-you email (if eligible via Amazon messaging)
✔️ Direct to educational content or user tips
✔️ Offer a loyalty incentive or invite to S&S

5. Exclusive Promotions or Previews

Reward your high-spend base with:
✅ Early access to new launches
✅ VIP pricing
✅ Exclusive bundles

Even if you can’t track the individual shopper (due to Amazon’s limitations), you can optimize your funnel to nurture this behavior.

🧪 Real Example: Health Supplement Brand

Problem:
Strong traffic, but flat profit growth.

Solution:
✅ Used Brand Analytics to ID top 10% of spenders
✅ Built “Health Elite Pack” with 3 high-margin products
✅ Created DSP campaign targeting repeat buyers
✅ Offered a gift card in the package after 3rd order

Results:
📈 Revenue +32% in 90 days
📉 ACoS dropped due to improved LTV
💬 Reviews referenced appreciation for loyalty focus

📉 Mistakes to Avoid

❌ Generic campaigns that treat all buyers equally
❌ Over-discounting (this devalues the brand)
❌ Ignoring data from Amazon tools that’s already available
❌ Failing to differentiate for customers who are already committed

🧠 Pro Tip: Create a Customer Ladder

Segment buyers like this:

  • One-time shoppers
  • Repeat buyers
  • High spend customers
  • Brand advocates

Tailor messaging and offers for each stage.

✅ Take Action Today

🔹 Dive into Brand Analytics > Repeat Purchase tab
🔹 Identify high-spend products and trends
🔹 Build bundles and offers around them
🔹 Use S&S, DSP, and packaging to build loyalty
🔹 Track changes in LTV over time

By focusing on your best customers, you can:

✅ Increase revenue
✅ Reduce ad spend
✅ Build a stronger brand on Amazon

And most importantly, turn one-time buyers into lifetime fans.

Why Brand Matters Less on Amazon (And What Matters More in 2025)

For decades in traditional retail, brand name was everything.

If your product had shelf space at Target or was backed by a well-known name, you were winning.

But Amazon? It’s a different beast.
In 2025, it’s no longer about who you are — it’s about how your listing performs.

🚫 The Myth of Brand Dominance

Many sellers assume big brands always win on Amazon.

But here’s the truth:
✅ Customers search by need, not brand
✅ The algorithm doesn’t reward prestige
✅ Success is built on data, not logos

You could be a global brand and still get buried on page 3.

🔍 What Amazon Cares About (Instead)

Amazon’s algorithm ranks and rewards based on performance:

1. CTR (Click-Through Rate)

If your main image and title don’t attract clicks, you’re invisible.

2. CVR (Conversion Rate)

Amazon wants to show listings that lead to purchases.
Even a lesser-known product with strong CVR can outrank a big brand.

3. Review Quality & Quantity

High volume + recent + relevant = higher trust and visibility.

4. Search Term Relevance

If your listing matches user intent (keywords, use cases, benefits), it wins — regardless of brand name.

5. Pricing Competitiveness

Shoppers compare. If you’re not priced to match value, they bounce.

🧠 Why Customers Care Less About Brand on Amazon

On Amazon, the shopper’s journey is fast and functional.

They care about:

  • ✅ Is this what I need?
  • ✅ Do other people trust it?
  • ✅ Is the price fair?
  • ✅ Will it arrive quickly?

Very few buyers search by brand name — they search by problem or use case.

🧪 Real-World Example

An emerging kitchenware seller launched a $29 chef knife.

They outranked major culinary brands by:
✅ Using “Best Chef Knife for Beginners” in title
✅ Having 4,000+ reviews within 12 months
✅ Featuring sharp how-to videos in A+
✅ Keeping conversion rate above 18%

Meanwhile, the “premium” brand with a $79 knife sat on page 2 with lower CVR.

📈 What Does Still Matter About Branding

Let’s be clear — branding isn’t useless.

It matters for:
✅ DTC websites
✅ External marketing
✅ Packaging and customer experience
✅ Repeat purchases

But ON Amazon, branding only helps if it’s paired with performance.

✅ How Smaller Sellers Can Win

1. Build Data-Driven Listings

✔️ Use actual keyword data from SQPR and Brand Analytics
✔️ Answer real buyer questions in bullets
✔️ Use Amazon’s Brand Story to tell value, not vanity

2. Optimize Main Image + Title for CTR

✔️ Show use case
✔️ Avoid clutter
✔️ Use your strongest differentiator

Even without a known name, a scroll-stopping main image wins.

3. Drive Reviews Strategically

✔️ Post-purchase emails
✔️ Inserts that educate
✔️ Early Reviewer Programs (if eligible)
✔️ Focus on product quality that generates praise

4. Use Strategic Pricing

✔️ Undercut premium players without looking “cheap”
✔️ Offer bundles or multi-packs
✔️ Test price elasticity and monitor sessions-to-sales

5. Play the Long Game

Amazon rewards consistent performance over time.

You may not be a household name — but if your:
✅ CTR is high
✅ Conversion is strong
✅ Reviews are solid
…you will rank, and you will win.

🎯 Final Takeaway

Brand recognition may win in traditional marketing — but on Amazon, it’s a performance marketplace.

Here’s what matters most:

  • Great listings
  • Smart keywords
  • High-quality images
  • Social proof
  • Trust signals
  • Intent-aligned offers

✅ Nail those, and your brand will grow — even if it starts unknown.

Maximize Revenue with Brand Loyalty Analytics

What if the easiest way to grow your Amazon revenue wasn’t getting new customers, but maximizing the ones you already have?

In today’s competitive landscape — with rising ad costs and shrinking margins — top Amazon sellers are turning inward and unlocking Brand Loyalty Analytics to grow smarter.

Let’s dive into what this means, where to find the data, and how to use it to increase profitability.

🧠 Why Brand Loyalty Matters More Than Ever

For most Amazon sellers:

  • CAC (Customer Acquisition Cost) is up
  • ACoS is unpredictable
  • Profitability is tight

But sellers who understand their loyal customer base gain three big advantages:
✅ Predictable sales
✅ Higher customer lifetime value (LTV)
✅ Reduced reliance on ads

📊 Where to Find Brand Loyalty Data

You don’t need fancy tools — Amazon gives you a lot of this data (if you know where to look).

1. Brand Analytics: Repeat Purchase Behavior

Go to Brand Analytics → Customer Behavior Dashboard.

✅ Shows how often customers repurchase
✅ Breaks down loyalty by ASIN
✅ Helps identify which products drive retention

2. Subscribe & Save Reports

Track:

  • Enrollment rate
  • Average reorder frequency
  • Long-term LTV

3. Search Query Performance Report (SQPR)

Spot trends in branded queries. Growth here often correlates with brand loyalty.

🔎 What the Data Tells You

  • Which products are “one and done”
  • Which products bring customers back
  • How bundles or product lines can support each other
  • What drives long-term brand affinity

💡 Actionable Ways to Use Brand Loyalty Analytics

1. Build Product Funnels

If customers often buy product A → then product B…
…why not bundle them? Or cross-sell in follow-ups?

Example:
Pet brand sees 60% of customers who buy a calming chew return for a multivitamin.
🛠 Solution: Add a “Complete Care Pack” and upsell post-purchase.

2. Enhance Subscribe & Save Enrollment

If your data shows high repeat behavior:
✅ Add more S&S prompts
✅ Offer deeper incentives (10% + 15%)
✅ Highlight reorder benefits in your images

This is passive LTV growth.

3. Target Loyal Shoppers with DSP

Amazon DSP allows you to retarget based on past purchase behavior.

✅ Serve ads only to your highest-value buyers
✅ Reinforce brand message post-sale
✅ Promote product expansions or accessories

4. Launch Product Lines Based on Loyalty

Data reveals where customers are “sticky.”

If one product dominates retention, build a suite around it:

  • Accessories
  • Supplements
  • Add-ons
  • Consumables

You’re selling to people who already like you — make it easy to say yes again.

5. Improve Packaging and Branding

Review data by ASIN to see which listings have:
✅ Better reorder rates
✅ Lower return rates
✅ Higher customer sentiment

Then ask:

  • Does that product have better packaging?
  • Is the listing more educational?
  • Are reviews more positive due to better onboarding?

Double down on what works.

🧪 Real Example: Skincare Brand

Challenge: High sales but low profits — too dependent on new customers.

Strategy:

  • Used Brand Analytics to find 2 products with highest repeat rates
  • Increased Subscribe & Save options
  • Created a loyalty email flow with insert cards
  • Built a 3-product bundle with a discount

Results:
📈 Monthly revenue up 27%
📉 ACoS dropped by 18%
📦 Subscribe & Save accounts for 22% of total sales

📉 The Cost of Ignoring Brand Loyalty

  • You overspend on ads to grow
  • Your revenue is volatile
  • You never build brand equity — just transactions

✅ Wrap-Up: How to Take Action Today

🔹 Open your Brand Analytics
🔹 Review repeat purchase behavior by ASIN
🔹 Identify your highest-retention products
🔹 Build bundles, cross-sells, or S&S offers
🔹 Adjust your images and listings to reinforce loyalty

📈 Use what you already have to drive smarter, more profitable growth.

Navigating Amazon’s New Cosmo Search Technology: What Sellers Must Know

Amazon just quietly introduced a massive upgrade to its internal search engine:
Cosmo Search — a new AI-powered discovery engine designed to understand context, relevance, and shopper behavior better than ever before.

If you’re not optimizing for Cosmo, your listings may start slipping — fast.

Let’s break down what Cosmo Search is, what it means for sellers, and how you can stay ahead.

🤖 What Is Amazon Cosmo Search?

Cosmo Search is Amazon’s next-generation AI search engine.

Rather than relying solely on traditional keyword matching, Cosmo uses:

  • Natural language processing (NLP)
  • Customer intent modeling
  • Semantic analysis of listings and reviews
  • Clickstream data and historical behavior

The result? Search results that are more context-aware, predictive, and personalized.

🔍 What This Means for Sellers

Cosmo fundamentally changes how products are ranked and displayed.

✅ Search is now less about exact-match keywords
✅ More about how well your content aligns with the customer’s intent
✅ Product listings are being evaluated holistically

If your title, bullets, and A+ content are inconsistent, disjointed, or keyword-stuffed — Cosmo will detect that.

🚩 Key Features of Cosmo Search

  • Conversational Search Compatibility: Cosmo can handle long-form, voice-like queries
  • Contextual Matching: Understands synonyms and adjacent topics
  • AI-Powered Personalization: Two users may see completely different results for the same search term
  • Data-Informed Suggestions: Takes cues from customer behavior, reviews, and even return data

📉 What Happens If You Don’t Adapt

❌ Reduced impressions — even with high-relevance keywords
❌ Drop in organic ranking
❌ Decline in click-through rate and conversion
❌ Misalignment with how the algorithm “understands” your product

✅ How to Optimize for Cosmo Search

1. Write for Humans First

Your listing must feel natural. Ditch the keyword stuffing.

Use clean, conversational language in:

  • Titles
  • Bullets
  • A+ content
  • Image overlays

Cosmo prioritizes clarity and readability.

2. Use Semantic Variants

Amazon’s AI now understands:

  • Synonyms (“running shoes” = “jogging sneakers”)
  • Use cases (“best laptop for gaming”)
  • Related terms (“sustainable” ↔️ “eco-friendly”)

Tools like Helium 10, DataDive, and ChatGPT can help build keyword clusters.

3. Double Down on Reviews and Q&A

Cosmo scans your reviews and customer Q&A to understand what your product is really about.

✅ Encourage reviews that speak to features and benefits
✅ Seed your Q&A with keyword-rich, natural questions

Example: “Is this hiking backpack water-resistant and airline carry-on compliant?”

4. Optimize A+ Content with Intent

Don’t just use pretty graphics — add real substance.

✔️ Use headings that match search queries
✔️ Answer customer concerns in the copy
✔️ Make it skimmable and keyword-rich (naturally)

5. Keep Content Consistent Across Touchpoints

Cosmo favors listings that show clear, consistent branding and messaging:

  • Title matches bullet themes
  • A+ reiterates benefits
  • Reviews reflect promises made in the listing

Inconsistency = lower trust signal = reduced ranking

🧪 Real-World Example

A pet brand selling calming dog chews was struggling post-Cosmo launch.

Fix:

  • Removed keyword repetition in title and bullets
  • Updated A+ content to focus on real-world use
  • Added FAQ: “Do these help during fireworks?”
  • Used “calming aid for dogs” and “anxiety support” in bullets and backend

Result:
📈 Impressions +22%
📈 Conversion Rate +13%
📉 ACoS dropped as relevancy improved

🛠 Tools to Help You Adapt

  • Search Query Performance Report
  • Brand Analytics
  • Helium 10 Magnet + Cerebro
  • Google NLP API for tone/intent check
  • Customer Review Extractors (for copywriting insights)

🧠 Final Thoughts

Cosmo Search is Amazon’s way of future-proofing its marketplace — and it rewards brands who do the same.

To succeed in this new AI-powered era:
✅ Focus on clarity, not clutter
✅ Build trust across every section of your listing
✅ Think like your customer (not a bot)

The sellers who adapt first?
They’ll own the top of page one.