Data isn’t just information. It’s the currency of growth. Every search, click, and purchase leaves behind a digital breadcrumb trail, but for Amazon sellers and advertisers, the problem isn’t scarcity of data, rather its abundance. There is simply too much data to go around, leaving you with the limitless possibilities on which opportunities to explore and when.
When considering advertising measurement today, two key challenges immediately stand out: fragmented customer journeys and stricter privacy regulations. Shoppers rarely purchase your product after seeing just one ad. They might discover a brand through Sponsored Products, later watch a DSP (Demand Side Platform) video ad, and finally convert after clicking a Sponsored Brand campaign. Without a way to stitch these touchpoints together, sellers are left guessing which ads are working and which ones are wasting money.
At the same time, privacy has become a non-negotiable aspect of digital advertising. With third-party cookies on the decline and regulations tightening around consumer data, advertisers need new ways to measure campaign effectiveness without tracking individuals directly.
Amazon Marketing Cloud is Amazon’s answer to both of these challenges. It acts as a secure, privacy-first environment where data from across Amazon’s advertising channels can be combined and analyzed in one place. Instead of relying on last-click attribution or incomplete reports, AMC allows you to see the entire path to purchase while still protecting shopper anonymity.
What is The Amazon Marketing Cloud (AMC)?
Amazon Marketing Cloud, or AMC, is essentially Amazon’s cloud-based analytics environment built for advertisers who want to dig deeper into their performance data. Think of it as a private data clean room—secure, privacy-first, and designed to help you answer questions that ordinary dashboards can’t touch.
Think of AMC as Amazon’s way of helping advertisers cut through the noise. While tools like Amazon DSP allow brands to activate campaigns and place ads across Amazon’s ecosystem, AMC helps you step back and understand what is really working. DSP is about action, but AMC is about insight.
One of the most powerful aspects of AMC is that it works as a sandbox for custom queries. Instead of showing you a handful of surface-level metrics, it gives you access to aggregated, pseudonymized data that reflects how shoppers engage with your ads across Amazon’s ecosystem. You’re not looking at individuals; you’re looking at patterns, journeys, and cohorts that reveal the bigger picture.
This is where AMC stands apart from Seller Central or Vendor Central dashboards. Those dashboards are great for quick snapshots—things like impressions, clicks, and sales. But they’re limited by design. They don’t tell you how many ads a shopper saw before they purchased, or how your DSP and Sponsored Products are working together. AMC, on the other hand, lets you build those kinds of insights from the ground up.
Amazon Marketing Cloud (AMC)
A secure cloud analytics workspace from Amazon Ads where you analyze aggregated advertising and purchase data to answer custom questions.
Amazon DSP
Amazon’s programmatic platform for running display, video, and audio ads across Amazon sites and third party inventory.
Sponsored Products
Cost per click ads that promote individual product listings in shopping results and on detail pages.
Schema
The blueprint of tables and fields available in AMC that shows what you can query and how data fits together.
Query
A written request that asks the database for specific information from the schema.
SQL
The language used to write queries and shape data in AMC.
Cohort
A group of shoppers who share a common trait such as first purchase month or first product bought.
Attribution
The method used to assign credit for a conversion to one or more ad touchpoints.
Lifetime Value (LTV)
The total revenue a customer generates over a set period after their first purchase.
Query library
Amazon’s set of starter SQL templates that help you get up and running in AMC.
Why Marketers Struggle Without AMC?
What performance looks like without Amazon Marketing Cloud
If you’ve ever tried to make sense of your advertising results using only Sponsored Ads or DSP reporting, you’ve probably noticed the gaps. On the surface, these reports show you impressions, clicks, and sales, but they often leave out the bigger story.
One of the biggest challenges is that these reports come with blind spots. Sponsored Ads might tell you that a customer clicked and converted, while DSP shows reach and impressions. But neither gives you the full picture of how different campaigns are working together. Without that clarity, it’s easy to misjudge which parts of your strategy are driving growth and which are simply burning through budget.
Attribution is another sticking point. Most Amazon ad reports lean heavily on last-touch attribution, meaning the final ad interaction gets all the credit for a sale. Without AMC, you can’t see the role each of your touchpoints played along the way.Then there’s the issue of long-term analysis. Standard dashboards are built for short-term performance tracking. They can show you what happened yesterday or last week, but they struggle to answer bigger questions like: Are my Q1 customers still buying six months later? Which campaigns are bringing in the highest-value shoppers over time? Sellers who care about repeat purchases, subscriptions, or customer lifetime value are left guessing.
How Amazon Marketing Cloud Works
The way AMC operates can be broken down into three stages.
First, it pulls in data from multiple sources, including ad campaign logs, audience exposure signals, and purchase behavior. This creates a rich dataset that goes far beyond what you see in your Seller dashboard.
Second, you use SQL queries to analyze the data. While that might sound intimidating, Amazon provides a library of starter queries that make it much easier to get going. Queries allow you to ask the system specific questions, such as, “How many touchpoints did a shopper have before purchasing?” or “Which campaigns drove the highest percentage of new-to-brand customers?” Amazon provides a starter library of queries so you don’t have to start from scratch, which is especially helpful for sellers who aren’t SQL experts.
Finally, the output of AMC comes in the form of insights that you can visualize in dashboards or export into tools like Looker Studio or Tableau. These insights help you understand how customers move through the funnel, which campaigns are truly effective, and where to shift your budget for maximum impact.Think of AMC as a control tower for your advertising. All the signals from your campaigns are funneled into one place, and from there you decide where to allocate resources.
Top 5 Use Cases: Lifetime Value and Repeat Purchase Tracking
Now let’s get specific. The next five use cases show exactly how to use AMC to lift LTV and repeat purchase rates, followed by seller snapshots you can learn from.
1) Identify your highest-value entry points
Not every first touch produces the same kind of customer. With AMC, you can group shoppers by the campaign or ad type that first introduced them to your brand and then track their revenue over 30, 60, and 90 days. This shows which channels bring people who keep buying, not just people who buy once.
Case 1: A supplements brand compared cohorts that first engaged via DSP prospecting versus Sponsored Products. The DSP-introduced cohort generated stronger 90-day revenue and a higher repeat rate, so the brand shifted more budget to prospecting and tightened bids on low-LTV search terms.
2) Map your reorder cadence and timing windows
Consumable and replenishable products live or die on timing. AMC lets you measure the typical days between first and second purchase, and between later reorders, so you can plan media bursts before customers run out. You’ll see the “reorder curve” by ASIN, pack size, or price tier and align creative and offers to those moments.
Case 2: A pet food seller discovered a 27-day median refill window for top SKUs. They scheduled Sponsored Display re-engagement starting on day 20 and extended through day 30. Repeat orders climbed, and wasted spend outside the window fell.
3) Compare retention by product, bundle, or price point
Some products create stickier relationships than others. AMC helps you track retention curves by first product purchased, bundle vs. single unit, and even discount depth. That reveals which entry SKUs build loyalty and which ones attract one-and-done buyers.
Case 3: A coffee brand learned that customers who started with a sampler bundle had a higher six-month LTV than those who started with a single-origin bag. They promoted bundles as the main entry offer and used lighter discounts on single SKUs.
4) Unlock cross-sell paths that grow LTV
Your most valuable customers often expand their baskets across categories. AMC can show the sequences shoppers follow after the first purchase—what they buy second, third, and fourth—and how ad exposure influences those steps. You can then craft creative that nudges the next natural add-on and sequence your campaigns around that path.
Case 4: A home fitness seller saw many first-time buyers return for resistance bands within 14–21 days, then upgrade to a premium mat the following month. They built a post-purchase playbook and used Sponsored Brands video to showcase the “next step,” raising average LTV per cohort.
5) Spot churn risk and protect your best cohorts
AMC helps you see when a cohort’s repeat rate starts to slip. When reorder probability drops below a threshold, say after day 45 for a given ASIN, you can respond with retention creative, value messaging, or loyalty-style offers. The goal is simple: defend the customers you worked hard to acquire.
Case 5: A skincare brand noticed a sharp falloff after the second purchase for its entry moisturizer. They introduced education-led ads around application routines and paired them with a gentle cross-sell to a serum. The third-purchase rate improved, stabilizing LTV for that cohort.
If you pull these five levers consistently, you’ll move beyond short-term ROAS and start managing your Amazon business like a portfolio—acquiring the right customers, timing your re-engagements, growing baskets with smart cross-sells, and protecting the cohorts that matter most.
AMC vs. Amazon DSP: How They Work Together Execute with DSP, optimize with Amazon Marketing Cloud
Many sellers confuse AMC and DSP, but they are not the same. DSP is the platform where ads are activated and delivered, while AMC is where campaigns are measured and analyzed.
You can think of DSP as the engine that drives your advertising and AMC as the dashboard that tells you how the engine is performing. The two complement each other, and when used together, they provide a complete view of both action and impact.
DSP is the system you use to buy and deliver media. It controls placements, audiences, pacing, frequency, bids, and creative. It answers who you reach, where you reach them, how often you show an ad, and how much you spend to do it.
Amazon Marketing Cloud is the system you use to measure what happened and why. It ingests privacy safe logs from DSP and Sponsored Ads along with retail signals like views, clicks, and orders. You query that data to understand paths to purchase, audience overlap, frequency impact, and true incremental sales.
Think of the handshake like this. You plan with evidence from AMC, you execute in DSP, then you validate and refine using AMC again. Insights guide the buy, the buy creates new data, and the next round of insights gets sharper.
DSP gives you delivery metrics in near real time so you can manage performance during a flight. AMC delivers deeper analysis on a short delay, which makes it the place for strategy, cohort tracking, and budget reallocation decisions that last beyond a single day.
Getting Started with Amazon Marketing Cloud
Accessing AMC requires an Amazon Ads account manager or working with a certified agency partner. While AMC itself does not come with additional fees, it does require some investment in time and resources.
A basic understanding of SQL is helpful, although it’s not essential thanks to Amazon’s growing library of pre-written queries. Many advertisers also partner with third-party tools that simplify query building and visualization.
The key thing to keep in mind is that AMC is not a plug-and-play dashboard. It requires an intentional approach. Sellers should be prepared to dedicate resources to learning how to use the platform effectively and to integrate AMC insights into their overall marketing strategy.
Best Practices for Success with AMC
Few things you can do to best utilize the Amazon Marketing Cloud effectively
Sellers who get the most out of AMC tend to follow a few best practices. The first is starting simple by leveraging Amazon’s query library. This allows you to focus on understanding the outputs before diving into complex custom queries.
It is also important to align every query with a business question. For example, instead of asking “What data can I pull?” you should ask “How much of my DSP spend is driving new-to-brand sales?” This ensures that every report generated ties back to a meaningful decision.
Visualization is another critical factor. While AMC produces data tables, most sellers find it far more useful to present insights in tools like Looker Studio or Tableau. This makes the findings more digestible for stakeholders and helps ensure that data actually drives decisions.
Finally, remember that AMC is designed with privacy in mind. You will not see data at the individual shopper level, and that is by design. The power of AMC lies in analyzing aggregated trends, not tracking people one by one.
Pitfalls to Avoid
Before you lean further into AMC, take a breath. Power without guardrails can waste budget and blur judgment. The most common traps are building complex queries before your data is stable, losing sight of baseline KPIs that keep the business healthy, and using AMC as a place to file reports instead of a driver of decisions. The next section explains how to avoid these mistakes so your insights turn into repeatable wins.
Overcomplicating queries too early
AMC feels powerful right away, which makes it tempting to stitch together multiple tables and custom logic on day one. Start simple. Ask one clear question, run a basic query, confirm the numbers, then add layers only when each step produces stable results.
Ignoring baseline KPIs
Deep analysis does not replace daily health checks. Keep a steady view of click through rate, cost per click, conversion rate, ROAS or ACOS, and blended TACOS. If any of these drift, use AMC to diagnose the cause, but fix the surface level issue quickly so cash flow stays healthy.
Treating AMC as just a mere reporting tool
Reports describe the past, strategy changes the future. Every AMC finding should trigger an action such as a budget shift, a creative update, a frequency change, or a new audience test. Set a simple rhythm. One key question each month, one decision based on the answer, then measure the outcome and repeat.
The Future of Amazon Marketing Cloud
AMC is still evolving, but its role is only going to grow in importance. With increasing privacy regulations and the decline of cookies, clean rooms like AMC are becoming essential for advertisers who want accurate measurement without compromising consumer trust.
In the future, we can expect AMC to become more accessible to a wider range of advertisers. Right now, it is mainly used by larger brands and agencies, but Amazon is likely to expand availability as demand grows.
We will also see AMC integrate more closely with artificial intelligence and automation. This could mean predictive modeling, automated insights, or even AI-driven recommendations for budget allocation. For sellers who embrace it early, AMC will provide a significant competitive advantage.
Amazon Marketing Cloud represents a major shift in how advertisers measure and understand their campaigns. It provides clarity where standard dashboards leave gaps, offering insights into customer journeys, campaign incrementality, lifetime value, and repeat purchases.
For sellers serious about scaling their business, AMC is not just a nice-to-have. It is quickly becoming a must-have. By moving beyond surface-level metrics and embracing AMC as a strategic tool, advertisers can turn raw data into decisions that drive long-term growth.
If you are ready to move beyond surface metrics and make decisions with confidence, we can help. Our team sets up Amazon Marketing Cloud, builds the right queries for your goals, and turns raw outputs into dashboards your leaders will use. We focus on what matters most for sellers. Clean measurement. Lower waste. Higher lifetime value. Better TACOS.
Why AMC Is a Game-Changer for Advertisers
Data isn’t just information. It’s the currency of growth. Every search, click, and purchase leaves behind a digital breadcrumb trail, but for Amazon sellers and advertisers, the problem isn’t scarcity of data, rather its abundance. There is simply too much data to go around, leaving you with the limitless possibilities on which opportunities to explore and when.
When considering advertising measurement today, two key challenges immediately stand out: fragmented customer journeys and stricter privacy regulations. Shoppers rarely purchase your product after seeing just one ad. They might discover a brand through Sponsored Products, later watch a DSP (Demand Side Platform) video ad, and finally convert after clicking a Sponsored Brand campaign. Without a way to stitch these touchpoints together, sellers are left guessing which ads are working and which ones are wasting money.
At the same time, privacy has become a non-negotiable aspect of digital advertising. With third-party cookies on the decline and regulations tightening around consumer data, advertisers need new ways to measure campaign effectiveness without tracking individuals directly.
Amazon Marketing Cloud is Amazon’s answer to both of these challenges. It acts as a secure, privacy-first environment where data from across Amazon’s advertising channels can be combined and analyzed in one place. Instead of relying on last-click attribution or incomplete reports, AMC allows you to see the entire path to purchase while still protecting shopper anonymity.
What is The Amazon Marketing Cloud (AMC)?
Amazon Marketing Cloud, or AMC, is essentially Amazon’s cloud-based analytics environment built for advertisers who want to dig deeper into their performance data. Think of it as a private data clean room—secure, privacy-first, and designed to help you answer questions that ordinary dashboards can’t touch.
Think of AMC as Amazon’s way of helping advertisers cut through the noise. While tools like Amazon DSP allow brands to activate campaigns and place ads across Amazon’s ecosystem, AMC helps you step back and understand what is really working. DSP is about action, but AMC is about insight.
One of the most powerful aspects of AMC is that it works as a sandbox for custom queries. Instead of showing you a handful of surface-level metrics, it gives you access to aggregated, pseudonymized data that reflects how shoppers engage with your ads across Amazon’s ecosystem. You’re not looking at individuals; you’re looking at patterns, journeys, and cohorts that reveal the bigger picture.
This is where AMC stands apart from Seller Central or Vendor Central dashboards. Those dashboards are great for quick snapshots—things like impressions, clicks, and sales. But they’re limited by design. They don’t tell you how many ads a shopper saw before they purchased, or how your DSP and Sponsored Products are working together. AMC, on the other hand, lets you build those kinds of insights from the ground up.
Why Marketers Struggle Without AMC?
What performance looks like without Amazon Marketing Cloud
If you’ve ever tried to make sense of your advertising results using only Sponsored Ads or DSP reporting, you’ve probably noticed the gaps. On the surface, these reports show you impressions, clicks, and sales, but they often leave out the bigger story.
One of the biggest challenges is that these reports come with blind spots. Sponsored Ads might tell you that a customer clicked and converted, while DSP shows reach and impressions. But neither gives you the full picture of how different campaigns are working together. Without that clarity, it’s easy to misjudge which parts of your strategy are driving growth and which are simply burning through budget.
Attribution is another sticking point. Most Amazon ad reports lean heavily on last-touch attribution, meaning the final ad interaction gets all the credit for a sale. Without AMC, you can’t see the role each of your touchpoints played along the way.Then there’s the issue of long-term analysis. Standard dashboards are built for short-term performance tracking. They can show you what happened yesterday or last week, but they struggle to answer bigger questions like: Are my Q1 customers still buying six months later? Which campaigns are bringing in the highest-value shoppers over time? Sellers who care about repeat purchases, subscriptions, or customer lifetime value are left guessing.
How Amazon Marketing Cloud Works
The way AMC operates can be broken down into three stages.
First, it pulls in data from multiple sources, including ad campaign logs, audience exposure signals, and purchase behavior. This creates a rich dataset that goes far beyond what you see in your Seller dashboard.
Second, you use SQL queries to analyze the data. While that might sound intimidating, Amazon provides a library of starter queries that make it much easier to get going. Queries allow you to ask the system specific questions, such as, “How many touchpoints did a shopper have before purchasing?” or “Which campaigns drove the highest percentage of new-to-brand customers?” Amazon provides a starter library of queries so you don’t have to start from scratch, which is especially helpful for sellers who aren’t SQL experts.
Finally, the output of AMC comes in the form of insights that you can visualize in dashboards or export into tools like Looker Studio or Tableau. These insights help you understand how customers move through the funnel, which campaigns are truly effective, and where to shift your budget for maximum impact.Think of AMC as a control tower for your advertising. All the signals from your campaigns are funneled into one place, and from there you decide where to allocate resources.
Top 5 Use Cases: Lifetime Value and Repeat Purchase Tracking
Now let’s get specific. The next five use cases show exactly how to use AMC to lift LTV and repeat purchase rates, followed by seller snapshots you can learn from.
1) Identify your highest-value entry points
Not every first touch produces the same kind of customer. With AMC, you can group shoppers by the campaign or ad type that first introduced them to your brand and then track their revenue over 30, 60, and 90 days. This shows which channels bring people who keep buying, not just people who buy once.
Case 1: A supplements brand compared cohorts that first engaged via DSP prospecting versus Sponsored Products. The DSP-introduced cohort generated stronger 90-day revenue and a higher repeat rate, so the brand shifted more budget to prospecting and tightened bids on low-LTV search terms.
2) Map your reorder cadence and timing windows
Consumable and replenishable products live or die on timing. AMC lets you measure the typical days between first and second purchase, and between later reorders, so you can plan media bursts before customers run out. You’ll see the “reorder curve” by ASIN, pack size, or price tier and align creative and offers to those moments.
Case 2: A pet food seller discovered a 27-day median refill window for top SKUs. They scheduled Sponsored Display re-engagement starting on day 20 and extended through day 30. Repeat orders climbed, and wasted spend outside the window fell.
3) Compare retention by product, bundle, or price point
Some products create stickier relationships than others. AMC helps you track retention curves by first product purchased, bundle vs. single unit, and even discount depth. That reveals which entry SKUs build loyalty and which ones attract one-and-done buyers.
Case 3: A coffee brand learned that customers who started with a sampler bundle had a higher six-month LTV than those who started with a single-origin bag. They promoted bundles as the main entry offer and used lighter discounts on single SKUs.
4) Unlock cross-sell paths that grow LTV
Your most valuable customers often expand their baskets across categories. AMC can show the sequences shoppers follow after the first purchase—what they buy second, third, and fourth—and how ad exposure influences those steps. You can then craft creative that nudges the next natural add-on and sequence your campaigns around that path.
Case 4: A home fitness seller saw many first-time buyers return for resistance bands within 14–21 days, then upgrade to a premium mat the following month. They built a post-purchase playbook and used Sponsored Brands video to showcase the “next step,” raising average LTV per cohort.
5) Spot churn risk and protect your best cohorts
AMC helps you see when a cohort’s repeat rate starts to slip. When reorder probability drops below a threshold, say after day 45 for a given ASIN, you can respond with retention creative, value messaging, or loyalty-style offers. The goal is simple: defend the customers you worked hard to acquire.
Case 5: A skincare brand noticed a sharp falloff after the second purchase for its entry moisturizer. They introduced education-led ads around application routines and paired them with a gentle cross-sell to a serum. The third-purchase rate improved, stabilizing LTV for that cohort.
If you pull these five levers consistently, you’ll move beyond short-term ROAS and start managing your Amazon business like a portfolio—acquiring the right customers, timing your re-engagements, growing baskets with smart cross-sells, and protecting the cohorts that matter most.
AMC vs. Amazon DSP: How They Work Together
Execute with DSP, optimize with Amazon Marketing Cloud
Many sellers confuse AMC and DSP, but they are not the same. DSP is the platform where ads are activated and delivered, while AMC is where campaigns are measured and analyzed.
You can think of DSP as the engine that drives your advertising and AMC as the dashboard that tells you how the engine is performing. The two complement each other, and when used together, they provide a complete view of both action and impact.
DSP is the system you use to buy and deliver media. It controls placements, audiences, pacing, frequency, bids, and creative. It answers who you reach, where you reach them, how often you show an ad, and how much you spend to do it.
Amazon Marketing Cloud is the system you use to measure what happened and why. It ingests privacy safe logs from DSP and Sponsored Ads along with retail signals like views, clicks, and orders. You query that data to understand paths to purchase, audience overlap, frequency impact, and true incremental sales.
Think of the handshake like this. You plan with evidence from AMC, you execute in DSP, then you validate and refine using AMC again. Insights guide the buy, the buy creates new data, and the next round of insights gets sharper.
DSP gives you delivery metrics in near real time so you can manage performance during a flight. AMC delivers deeper analysis on a short delay, which makes it the place for strategy, cohort tracking, and budget reallocation decisions that last beyond a single day.
Getting Started with Amazon Marketing Cloud
Accessing AMC requires an Amazon Ads account manager or working with a certified agency partner. While AMC itself does not come with additional fees, it does require some investment in time and resources.
A basic understanding of SQL is helpful, although it’s not essential thanks to Amazon’s growing library of pre-written queries. Many advertisers also partner with third-party tools that simplify query building and visualization.
The key thing to keep in mind is that AMC is not a plug-and-play dashboard. It requires an intentional approach. Sellers should be prepared to dedicate resources to learning how to use the platform effectively and to integrate AMC insights into their overall marketing strategy.
Best Practices for Success with AMC
Few things you can do to best utilize the Amazon Marketing Cloud effectively
Sellers who get the most out of AMC tend to follow a few best practices. The first is starting simple by leveraging Amazon’s query library. This allows you to focus on understanding the outputs before diving into complex custom queries.
It is also important to align every query with a business question. For example, instead of asking “What data can I pull?” you should ask “How much of my DSP spend is driving new-to-brand sales?” This ensures that every report generated ties back to a meaningful decision.
Visualization is another critical factor. While AMC produces data tables, most sellers find it far more useful to present insights in tools like Looker Studio or Tableau. This makes the findings more digestible for stakeholders and helps ensure that data actually drives decisions.
Finally, remember that AMC is designed with privacy in mind. You will not see data at the individual shopper level, and that is by design. The power of AMC lies in analyzing aggregated trends, not tracking people one by one.
Pitfalls to Avoid
Before you lean further into AMC, take a breath. Power without guardrails can waste budget and blur judgment. The most common traps are building complex queries before your data is stable, losing sight of baseline KPIs that keep the business healthy, and using AMC as a place to file reports instead of a driver of decisions. The next section explains how to avoid these mistakes so your insights turn into repeatable wins.
Overcomplicating queries too early
AMC feels powerful right away, which makes it tempting to stitch together multiple tables and custom logic on day one. Start simple. Ask one clear question, run a basic query, confirm the numbers, then add layers only when each step produces stable results.
Ignoring baseline KPIs
Deep analysis does not replace daily health checks. Keep a steady view of click through rate, cost per click, conversion rate, ROAS or ACOS, and blended TACOS. If any of these drift, use AMC to diagnose the cause, but fix the surface level issue quickly so cash flow stays healthy.
Treating AMC as just a mere reporting tool
Reports describe the past, strategy changes the future. Every AMC finding should trigger an action such as a budget shift, a creative update, a frequency change, or a new audience test. Set a simple rhythm. One key question each month, one decision based on the answer, then measure the outcome and repeat.
The Future of Amazon Marketing Cloud
AMC is still evolving, but its role is only going to grow in importance. With increasing privacy regulations and the decline of cookies, clean rooms like AMC are becoming essential for advertisers who want accurate measurement without compromising consumer trust.
In the future, we can expect AMC to become more accessible to a wider range of advertisers. Right now, it is mainly used by larger brands and agencies, but Amazon is likely to expand availability as demand grows.
We will also see AMC integrate more closely with artificial intelligence and automation. This could mean predictive modeling, automated insights, or even AI-driven recommendations for budget allocation. For sellers who embrace it early, AMC will provide a significant competitive advantage.
Amazon Marketing Cloud represents a major shift in how advertisers measure and understand their campaigns. It provides clarity where standard dashboards leave gaps, offering insights into customer journeys, campaign incrementality, lifetime value, and repeat purchases.
For sellers serious about scaling their business, AMC is not just a nice-to-have. It is quickly becoming a must-have. By moving beyond surface-level metrics and embracing AMC as a strategic tool, advertisers can turn raw data into decisions that drive long-term growth.
If you are ready to move beyond surface metrics and make decisions with confidence, we can help. Our team sets up Amazon Marketing Cloud, builds the right queries for your goals, and turns raw outputs into dashboards your leaders will use. We focus on what matters most for sellers. Clean measurement. Lower waste. Higher lifetime value. Better TACOS.
Recent Posts