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Book a Strategy CallAmazon PPC Clicks but No Sales? What to Check Before You Spend More
Amazon PPC getting clicks but no sales? Find the zero-purchase search terms, check the offer and attribution, then decide whether to lower bids or exclude traffic.
Why are Amazon PPC clicks not turning into sales?
Two search terms have each spent $18 without an order. One bought six clicks. The other bought 36.
Sorting the report by spend puts them side by side. It doesn't tell you which one to stop.
When Amazon PPC gets clicks but no sales, check three things first: whether purchases have finished reporting, whether the searches fit your product, and whether shoppers can buy the offer you advertised. For relevant traffic, look at what the next click costs. You can have too little data to reject a search term and still be paying too much to keep testing it.
The two $18 rows are illustrative. We'll use a $30 set of six cotton dinner napkins to work through them. The reporting steps focus on Sponsored Products for Amazon.com sellers; other ad formats and advertiser types can use different attribution windows.
Check the product shoppers land on
Open the exact advertised variation. Is the six-pack available? Has the price or coupon changed? Does the page clearly show the material, size, and quantity? Look at the delivery date a shopper would see, not just the stock number in your account.
If the six-pack is unavailable or the page shows the wrong quantity, fix that before buying more traffic. If several relevant terms stopped converting after a price, image, or delivery change, investigate that change before excluding each term separately.
A healthy click-through rate doesn't settle this. CTR measures clicks divided by impressions, so it can look good while purchases stay at zero. It says the ad attracted clicks; it doesn't establish that the search or the offer was right for those shoppers.
Find the search terms behind the clicks
Your target keyword is what you asked Amazon to use. The search term report shows the traffic associated with the clicks you bought. Start there before deciding the whole campaign needs rebuilding.
Build a useful zero-purchase view
- Open reporting: In Amazon Ads, go to Measurement and Reporting → Reporting. Select your US seller account and Sponsored Products, then build a search-term view using the report builder or templates. If you still use the legacy Sponsored Ads reports screen, create the equivalent search-term report there.
- Choose daily data: Keep the marketplace, currency, time zone, and purchase metric with the export. Include search term, campaign, ad group, clicks, spend, and attributed purchases; retain source target and match type where supported. If several products are combined, resolve that scope before assigning the result to one product.
- Separate recent clicks: Use interaction dates whose full attribution window has ended, allowing for reporting delay. Keep newer spend visible, but leave its purchase result provisional.
- Total the completed period: Sum clicks, spend, and purchases across those dates for each search term. Keep different accounts, campaigns, ad groups, source targets, match types, and resolved product scopes separate, using IDs where available. A no-sale day must not erase a purchase on another day.
- Filter and sort: Filter those totals to purchases = 0 and spend > 0, then sort by spend. Read the searches, rather than treating the filtered rows as a ready-made negative-keyword list.
Amazon's Sponsored Products report definitions describe seven-day purchase metrics for sellers. A click from two days ago still has time to receive a purchase. Allow for reporting delay as well: Amazon says Sponsored Products sales metrics can take up to 48 hours to populate. Purchases are reported against the ad-interaction date, and later adjustments can change the result. Check the metric and reporting guidance for your export when choosing the cutoff.
Waiting for attribution doesn't require leaving the campaign spending. You can limit further exposure while the earlier clicks finish reporting.
Don't rely on an ACoS filter alone to find these rows. ACoS is ad spend divided by ad revenue, so zero attributed revenue gives you no finite ratio to compare with your target. Spend and purchase counts make the problem visible directly.
Read what each search asks for
For the cotton napkins, “disposable paper napkins” asks for something you don't sell. “Washable dinner napkins” fits the product, but price, pack size, delivery, and presentation still have to persuade the shopper.
Some report rows represent product targets or terms inferred from non-search context. They aren't all phrases someone typed. Keep the source target beside the row so you can identify the right control later.
How many clicks without a sale are enough to act?
There is no click count that settles every case. Use relevance, completed attribution, comparable purchase history, and the cost of further testing together.
Amazon's Sponsored Products targeting guide recommends evaluating performance after at least 20 clicks before adding a negative target. That gives you a review point. It doesn't tell you whether you can afford click number 21, or whether the first 20 prove the search is irrelevant.
Take the two $18 rows. Assume both searches fit the napkins, attribution is complete, and comparable historical ad traffic purchased at 8% of clicks:
- “Cotton napkins set of six”: Six clicks at $3 each, $18 spent, no purchases.
- “Washable dinner napkins”: 36 clicks at $0.50 each, $18 spent, no purchases.
Under a simple model where each click independently has the same 8% purchase probability, zero purchases would occur about 61% of the time after six clicks, versus 5% after 36. The calculation is (1 − 0.08)^clicks.
Six clicks without a purchase would be unsurprising under that assumption. Thirty-six deserve a closer look. The 5% figure is not the probability that the search term is bad: real traffic varies, and large reports can contain unusual rows by chance. Use comparable historical ad traffic whose attribution is complete; without a useful baseline, leave the probability uncalculated.
What can the product afford to pay per click?
Suppose the $30 napkin set leaves $9 per one-unit purchase before advertising, after product cost, Amazon fees, discounts, expected refund costs, and other variable costs, counted once. These are illustrative inputs, and every attributed purchase in this example is one unit of the same product.
At the assumed 8% purchase rate:
$9 contribution per purchase × 0.08 purchases per click = $0.72 break-even CPC.
That leaves nothing for fixed overhead or profit, so a commercial target would usually be lower. The example's break-even CPC is not a bid recommendation: setting a $0.72 bid doesn't guarantee that actual CPC or the same traffic mix.
The six-click term is paying $3 per click. At the assumed rate, a purchase would cost $37.50 against $9 of contribution. The first move is to review how to buy that relevant traffic more cheaply, or stop buying it at that cost. You don't need to declare the search irrelevant.
The 36-click term costs $0.50 per click, below the modeled boundary, but its lack of purchases challenges the 8% expectation. It needs an explanation before more budget. A lower bid can reduce spending while a buying obstacle remains.
Check purchased-product mix before using this calculation in your account. Ad-attributed purchases can include products other than the one advertised. Use contribution for what was actually bought; unresolved product mix cannot support a precise product-specific break-even CPC. The Amazon seller scorecard explains the broader contribution view.
Should you lower the bid, pause, or add a negative keyword?
Exclude traffic that clearly asks for a different product. Lower or stop exposure when relevant clicks cost more than the product can support. If shoppers cannot buy the advertised offer, repair it before sending more traffic. For an unexplained run of relevant clicks without purchases, constrain spending while you investigate.
Add a negative for a clear mismatch
Before excluding “disposable paper napkins,” inspect related terms with purchases and choose the narrowest appropriate scope. Amazon includes close variations in both negative exact and negative phrase. Negative exact doesn't guarantee that only one literal spelling disappears.
A campaign-level negative phrase for “napkins” would block relevant searches too. If the row represents a product target, use the appropriate product-targeting control. Keep an exclusion tied to the actual product mismatch or performance decision.
Lower expensive exposure without cutting every related search
Find the keyword or automatic targeting group that generated the costly row. If the export lacks that detail, trace the term in the campaign or ad group's Search terms view. Several terms can share one target, including terms with purchases. Check them before lowering its bid.
For the six-click row, a lower-cost test may be worth trying if the source target's other traffic supports the change. Set an additional spend allowance, then check actual CPC and the searches you receive. If acceptable traffic is unavailable at a cost the product can support, pause that test.
Repair the offer or investigate before spending again
For the 36-click row, inspect the exact product and targeting context. A wrong pack quantity needs a catalog correction. Unclear dimensions need accurate content. A new delivery delay needs an availability review. The listing optimization guide covers the content work when that is the issue.
If you still can't explain the result, pause or constrain further testing while you investigate. Choose any additional dollar allowance before the next clicks arrive. The probability calculation cannot choose how much risk the business can afford.
Keep the follow-up short: what changed, which target it affected, why you changed it, the extra spend allowed, and when you'll review it. Compare clicks from before and after the change separately, letting attribution complete. Note any price, promotion, or delivery changes that could also explain the result.
Lumian Agents can analyze search terms and targets to prioritize inefficient spend and estimate possible savings. Review the account, product scope, and reporting window before acting; a savings estimate is not a completed campaign change or recovered profit.
Start free with Lumian Agents for Amazon.com (US), and use one product's search terms for your first review.
Co-Founder & CEO, Lumian
Robin Lobo is Co-Founder and CEO of Lumian. He built and sold a seven-figure eyeglasses brand on Amazon and spent several years on the client side of traditional agencies before founding Lumian, an AI-native Amazon agency backed by $3M led by Bowery Capital.
Amazon PPC Clicks but No Sales? What to Check Before You Spend More
Amazon PPC getting clicks but no sales? Find the zero-purchase search terms, check the offer and attribution, then decide whether to lower bids or exclude traffic.
Why are Amazon PPC clicks not turning into sales?
Two search terms have each spent $18 without an order. One bought six clicks. The other bought 36.
Sorting the report by spend puts them side by side. It doesn't tell you which one to stop.
When Amazon PPC gets clicks but no sales, check three things first: whether purchases have finished reporting, whether the searches fit your product, and whether shoppers can buy the offer you advertised. For relevant traffic, look at what the next click costs. You can have too little data to reject a search term and still be paying too much to keep testing it.
The two $18 rows are illustrative. We'll use a $30 set of six cotton dinner napkins to work through them. The reporting steps focus on Sponsored Products for Amazon.com sellers; other ad formats and advertiser types can use different attribution windows.
Check the product shoppers land on
Open the exact advertised variation. Is the six-pack available? Has the price or coupon changed? Does the page clearly show the material, size, and quantity? Look at the delivery date a shopper would see, not just the stock number in your account.
If the six-pack is unavailable or the page shows the wrong quantity, fix that before buying more traffic. If several relevant terms stopped converting after a price, image, or delivery change, investigate that change before excluding each term separately.
A healthy click-through rate doesn't settle this. CTR measures clicks divided by impressions, so it can look good while purchases stay at zero. It says the ad attracted clicks; it doesn't establish that the search or the offer was right for those shoppers.
Find the search terms behind the clicks
Your target keyword is what you asked Amazon to use. The search term report shows the traffic associated with the clicks you bought. Start there before deciding the whole campaign needs rebuilding.
Build a useful zero-purchase view
- Open reporting: In Amazon Ads, go to Measurement and Reporting → Reporting. Select your US seller account and Sponsored Products, then build a search-term view using the report builder or templates. If you still use the legacy Sponsored Ads reports screen, create the equivalent search-term report there.
- Choose daily data: Keep the marketplace, currency, time zone, and purchase metric with the export. Include search term, campaign, ad group, clicks, spend, and attributed purchases; retain source target and match type where supported. If several products are combined, resolve that scope before assigning the result to one product.
- Separate recent clicks: Use interaction dates whose full attribution window has ended, allowing for reporting delay. Keep newer spend visible, but leave its purchase result provisional.
- Total the completed period: Sum clicks, spend, and purchases across those dates for each search term. Keep different accounts, campaigns, ad groups, source targets, match types, and resolved product scopes separate, using IDs where available. A no-sale day must not erase a purchase on another day.
- Filter and sort: Filter those totals to purchases = 0 and spend > 0, then sort by spend. Read the searches, rather than treating the filtered rows as a ready-made negative-keyword list.
Amazon's Sponsored Products report definitions describe seven-day purchase metrics for sellers. A click from two days ago still has time to receive a purchase. Allow for reporting delay as well: Amazon says Sponsored Products sales metrics can take up to 48 hours to populate. Purchases are reported against the ad-interaction date, and later adjustments can change the result. Check the metric and reporting guidance for your export when choosing the cutoff.
Waiting for attribution doesn't require leaving the campaign spending. You can limit further exposure while the earlier clicks finish reporting.
Don't rely on an ACoS filter alone to find these rows. ACoS is ad spend divided by ad revenue, so zero attributed revenue gives you no finite ratio to compare with your target. Spend and purchase counts make the problem visible directly.
Read what each search asks for
For the cotton napkins, “disposable paper napkins” asks for something you don't sell. “Washable dinner napkins” fits the product, but price, pack size, delivery, and presentation still have to persuade the shopper.
Some report rows represent product targets or terms inferred from non-search context. They aren't all phrases someone typed. Keep the source target beside the row so you can identify the right control later.
How many clicks without a sale are enough to act?
There is no click count that settles every case. Use relevance, completed attribution, comparable purchase history, and the cost of further testing together.
Amazon's Sponsored Products targeting guide recommends evaluating performance after at least 20 clicks before adding a negative target. That gives you a review point. It doesn't tell you whether you can afford click number 21, or whether the first 20 prove the search is irrelevant.
Take the two $18 rows. Assume both searches fit the napkins, attribution is complete, and comparable historical ad traffic purchased at 8% of clicks:
- “Cotton napkins set of six”: Six clicks at $3 each, $18 spent, no purchases.
- “Washable dinner napkins”: 36 clicks at $0.50 each, $18 spent, no purchases.
Under a simple model where each click independently has the same 8% purchase probability, zero purchases would occur about 61% of the time after six clicks, versus 5% after 36. The calculation is (1 − 0.08)^clicks.
Six clicks without a purchase would be unsurprising under that assumption. Thirty-six deserve a closer look. The 5% figure is not the probability that the search term is bad: real traffic varies, and large reports can contain unusual rows by chance. Use comparable historical ad traffic whose attribution is complete; without a useful baseline, leave the probability uncalculated.
What can the product afford to pay per click?
Suppose the $30 napkin set leaves $9 per one-unit purchase before advertising, after product cost, Amazon fees, discounts, expected refund costs, and other variable costs, counted once. These are illustrative inputs, and every attributed purchase in this example is one unit of the same product.
At the assumed 8% purchase rate:
$9 contribution per purchase × 0.08 purchases per click = $0.72 break-even CPC.
That leaves nothing for fixed overhead or profit, so a commercial target would usually be lower. The example's break-even CPC is not a bid recommendation: setting a $0.72 bid doesn't guarantee that actual CPC or the same traffic mix.
The six-click term is paying $3 per click. At the assumed rate, a purchase would cost $37.50 against $9 of contribution. The first move is to review how to buy that relevant traffic more cheaply, or stop buying it at that cost. You don't need to declare the search irrelevant.
The 36-click term costs $0.50 per click, below the modeled boundary, but its lack of purchases challenges the 8% expectation. It needs an explanation before more budget. A lower bid can reduce spending while a buying obstacle remains.
Check purchased-product mix before using this calculation in your account. Ad-attributed purchases can include products other than the one advertised. Use contribution for what was actually bought; unresolved product mix cannot support a precise product-specific break-even CPC. The Amazon seller scorecard explains the broader contribution view.
Should you lower the bid, pause, or add a negative keyword?
Exclude traffic that clearly asks for a different product. Lower or stop exposure when relevant clicks cost more than the product can support. If shoppers cannot buy the advertised offer, repair it before sending more traffic. For an unexplained run of relevant clicks without purchases, constrain spending while you investigate.
Add a negative for a clear mismatch
Before excluding “disposable paper napkins,” inspect related terms with purchases and choose the narrowest appropriate scope. Amazon includes close variations in both negative exact and negative phrase. Negative exact doesn't guarantee that only one literal spelling disappears.
A campaign-level negative phrase for “napkins” would block relevant searches too. If the row represents a product target, use the appropriate product-targeting control. Keep an exclusion tied to the actual product mismatch or performance decision.
Lower expensive exposure without cutting every related search
Find the keyword or automatic targeting group that generated the costly row. If the export lacks that detail, trace the term in the campaign or ad group's Search terms view. Several terms can share one target, including terms with purchases. Check them before lowering its bid.
For the six-click row, a lower-cost test may be worth trying if the source target's other traffic supports the change. Set an additional spend allowance, then check actual CPC and the searches you receive. If acceptable traffic is unavailable at a cost the product can support, pause that test.
Repair the offer or investigate before spending again
For the 36-click row, inspect the exact product and targeting context. A wrong pack quantity needs a catalog correction. Unclear dimensions need accurate content. A new delivery delay needs an availability review. The listing optimization guide covers the content work when that is the issue.
If you still can't explain the result, pause or constrain further testing while you investigate. Choose any additional dollar allowance before the next clicks arrive. The probability calculation cannot choose how much risk the business can afford.
Keep the follow-up short: what changed, which target it affected, why you changed it, the extra spend allowed, and when you'll review it. Compare clicks from before and after the change separately, letting attribution complete. Note any price, promotion, or delivery changes that could also explain the result.
Lumian Agents can analyze search terms and targets to prioritize inefficient spend and estimate possible savings. Review the account, product scope, and reporting window before acting; a savings estimate is not a completed campaign change or recovered profit.
Start free with Lumian Agents for Amazon.com (US), and use one product's search terms for your first review.
Co-Founder & CEO, Lumian
Robin Lobo is Co-Founder and CEO of Lumian. He built and sold a seven-figure eyeglasses brand on Amazon and spent several years on the client side of traditional agencies before founding Lumian, an AI-native Amazon agency backed by $3M led by Bowery Capital.
Amazon PPC Clicks but No Sales? What to Check Before You Spend More
Amazon PPC getting clicks but no sales? Find the zero-purchase search terms, check the offer and attribution, then decide whether to lower bids or exclude traffic.
Why are Amazon PPC clicks not turning into sales?
Two search terms have each spent $18 without an order. One bought six clicks. The other bought 36.
Sorting the report by spend puts them side by side. It doesn't tell you which one to stop.
When Amazon PPC gets clicks but no sales, check three things first: whether purchases have finished reporting, whether the searches fit your product, and whether shoppers can buy the offer you advertised. For relevant traffic, look at what the next click costs. You can have too little data to reject a search term and still be paying too much to keep testing it.
The two $18 rows are illustrative. We'll use a $30 set of six cotton dinner napkins to work through them. The reporting steps focus on Sponsored Products for Amazon.com sellers; other ad formats and advertiser types can use different attribution windows.
Check the product shoppers land on
Open the exact advertised variation. Is the six-pack available? Has the price or coupon changed? Does the page clearly show the material, size, and quantity? Look at the delivery date a shopper would see, not just the stock number in your account.
If the six-pack is unavailable or the page shows the wrong quantity, fix that before buying more traffic. If several relevant terms stopped converting after a price, image, or delivery change, investigate that change before excluding each term separately.
A healthy click-through rate doesn't settle this. CTR measures clicks divided by impressions, so it can look good while purchases stay at zero. It says the ad attracted clicks; it doesn't establish that the search or the offer was right for those shoppers.
Find the search terms behind the clicks
Your target keyword is what you asked Amazon to use. The search term report shows the traffic associated with the clicks you bought. Start there before deciding the whole campaign needs rebuilding.
Build a useful zero-purchase view
- Open reporting: In Amazon Ads, go to Measurement and Reporting → Reporting. Select your US seller account and Sponsored Products, then build a search-term view using the report builder or templates. If you still use the legacy Sponsored Ads reports screen, create the equivalent search-term report there.
- Choose daily data: Keep the marketplace, currency, time zone, and purchase metric with the export. Include search term, campaign, ad group, clicks, spend, and attributed purchases; retain source target and match type where supported. If several products are combined, resolve that scope before assigning the result to one product.
- Separate recent clicks: Use interaction dates whose full attribution window has ended, allowing for reporting delay. Keep newer spend visible, but leave its purchase result provisional.
- Total the completed period: Sum clicks, spend, and purchases across those dates for each search term. Keep different accounts, campaigns, ad groups, source targets, match types, and resolved product scopes separate, using IDs where available. A no-sale day must not erase a purchase on another day.
- Filter and sort: Filter those totals to purchases = 0 and spend > 0, then sort by spend. Read the searches, rather than treating the filtered rows as a ready-made negative-keyword list.
Amazon's Sponsored Products report definitions describe seven-day purchase metrics for sellers. A click from two days ago still has time to receive a purchase. Allow for reporting delay as well: Amazon says Sponsored Products sales metrics can take up to 48 hours to populate. Purchases are reported against the ad-interaction date, and later adjustments can change the result. Check the metric and reporting guidance for your export when choosing the cutoff.
Waiting for attribution doesn't require leaving the campaign spending. You can limit further exposure while the earlier clicks finish reporting.
Don't rely on an ACoS filter alone to find these rows. ACoS is ad spend divided by ad revenue, so zero attributed revenue gives you no finite ratio to compare with your target. Spend and purchase counts make the problem visible directly.
Read what each search asks for
For the cotton napkins, “disposable paper napkins” asks for something you don't sell. “Washable dinner napkins” fits the product, but price, pack size, delivery, and presentation still have to persuade the shopper.
Some report rows represent product targets or terms inferred from non-search context. They aren't all phrases someone typed. Keep the source target beside the row so you can identify the right control later.
How many clicks without a sale are enough to act?
There is no click count that settles every case. Use relevance, completed attribution, comparable purchase history, and the cost of further testing together.
Amazon's Sponsored Products targeting guide recommends evaluating performance after at least 20 clicks before adding a negative target. That gives you a review point. It doesn't tell you whether you can afford click number 21, or whether the first 20 prove the search is irrelevant.
Take the two $18 rows. Assume both searches fit the napkins, attribution is complete, and comparable historical ad traffic purchased at 8% of clicks:
- “Cotton napkins set of six”: Six clicks at $3 each, $18 spent, no purchases.
- “Washable dinner napkins”: 36 clicks at $0.50 each, $18 spent, no purchases.
Under a simple model where each click independently has the same 8% purchase probability, zero purchases would occur about 61% of the time after six clicks, versus 5% after 36. The calculation is (1 − 0.08)^clicks.
Six clicks without a purchase would be unsurprising under that assumption. Thirty-six deserve a closer look. The 5% figure is not the probability that the search term is bad: real traffic varies, and large reports can contain unusual rows by chance. Use comparable historical ad traffic whose attribution is complete; without a useful baseline, leave the probability uncalculated.
What can the product afford to pay per click?
Suppose the $30 napkin set leaves $9 per one-unit purchase before advertising, after product cost, Amazon fees, discounts, expected refund costs, and other variable costs, counted once. These are illustrative inputs, and every attributed purchase in this example is one unit of the same product.
At the assumed 8% purchase rate:
$9 contribution per purchase × 0.08 purchases per click = $0.72 break-even CPC.
That leaves nothing for fixed overhead or profit, so a commercial target would usually be lower. The example's break-even CPC is not a bid recommendation: setting a $0.72 bid doesn't guarantee that actual CPC or the same traffic mix.
The six-click term is paying $3 per click. At the assumed rate, a purchase would cost $37.50 against $9 of contribution. The first move is to review how to buy that relevant traffic more cheaply, or stop buying it at that cost. You don't need to declare the search irrelevant.
The 36-click term costs $0.50 per click, below the modeled boundary, but its lack of purchases challenges the 8% expectation. It needs an explanation before more budget. A lower bid can reduce spending while a buying obstacle remains.
Check purchased-product mix before using this calculation in your account. Ad-attributed purchases can include products other than the one advertised. Use contribution for what was actually bought; unresolved product mix cannot support a precise product-specific break-even CPC. The Amazon seller scorecard explains the broader contribution view.
Should you lower the bid, pause, or add a negative keyword?
Exclude traffic that clearly asks for a different product. Lower or stop exposure when relevant clicks cost more than the product can support. If shoppers cannot buy the advertised offer, repair it before sending more traffic. For an unexplained run of relevant clicks without purchases, constrain spending while you investigate.
Add a negative for a clear mismatch
Before excluding “disposable paper napkins,” inspect related terms with purchases and choose the narrowest appropriate scope. Amazon includes close variations in both negative exact and negative phrase. Negative exact doesn't guarantee that only one literal spelling disappears.
A campaign-level negative phrase for “napkins” would block relevant searches too. If the row represents a product target, use the appropriate product-targeting control. Keep an exclusion tied to the actual product mismatch or performance decision.
Lower expensive exposure without cutting every related search
Find the keyword or automatic targeting group that generated the costly row. If the export lacks that detail, trace the term in the campaign or ad group's Search terms view. Several terms can share one target, including terms with purchases. Check them before lowering its bid.
For the six-click row, a lower-cost test may be worth trying if the source target's other traffic supports the change. Set an additional spend allowance, then check actual CPC and the searches you receive. If acceptable traffic is unavailable at a cost the product can support, pause that test.
Repair the offer or investigate before spending again
For the 36-click row, inspect the exact product and targeting context. A wrong pack quantity needs a catalog correction. Unclear dimensions need accurate content. A new delivery delay needs an availability review. The listing optimization guide covers the content work when that is the issue.
If you still can't explain the result, pause or constrain further testing while you investigate. Choose any additional dollar allowance before the next clicks arrive. The probability calculation cannot choose how much risk the business can afford.
Keep the follow-up short: what changed, which target it affected, why you changed it, the extra spend allowed, and when you'll review it. Compare clicks from before and after the change separately, letting attribution complete. Note any price, promotion, or delivery changes that could also explain the result.
Lumian Agents can analyze search terms and targets to prioritize inefficient spend and estimate possible savings. Review the account, product scope, and reporting window before acting; a savings estimate is not a completed campaign change or recovered profit.
Start free with Lumian Agents for Amazon.com (US), and use one product's search terms for your first review.
Co-Founder & CEO, Lumian
Robin Lobo is Co-Founder and CEO of Lumian. He built and sold a seven-figure eyeglasses brand on Amazon and spent several years on the client side of traditional agencies before founding Lumian, an AI-native Amazon agency backed by $3M led by Bowery Capital.