DeepBI

DeepBI The AI-powered Amazon advertising assistant that saves time and increases ROI for e-commerce sellers.

28/09/2026

For a new Amazon product, the lowest ACoS is not always the best first objective.

At launch, you usually don’t have enough product-level advertising history to know exactly which traffic will work.

That’s why DeepBI follows a simple process:
Explore → Filter → Validate → Scale

Early on, the goal is to test a controlled range of relevant opportunities:
• Search terms discovered through AUTO campaigns
• Manual keyword targets
• Competitor-ASIN targeting opportunities
• Traffic that still needs more data before a decision

Then performance decides what happens next.

A cheap click with no attributed sales is not automatically valuable.

And one order is not enough to make a target scalable.

The question is whether conversions become repeatable, ACoS stays within an acceptable range, and the traffic continues earning further investment.

Don’t optimize away the learning before you have enough data.

For a new product, explore systematically, validate with real performance, and scale only what proves it deserves more resources.

Learn more: www.deepbi.com
Contact: [email protected]

27/09/2026

One order doesn’t automatically make a Search Term scalable. And zero orders doesn’t automatically make it worthless.

After an AUTO campaign runs for a while, the Search Term Report usually contains very different types of traffic:
Validated — relevant terms generating repeatable attributed orders.
Promising but inconclusive — relevant traffic that still needs more data.
Inefficient — enough clicks and spend, but weak sales contribution.
Clearly irrelevant — search intent that does not match the product.

DeepBI doesn’t treat every Search Term with one fixed click or ACoS threshold.

Instead, it keeps asking:
• Is the traffic relevant?
• Is there enough data to judge it?
• Are attributed orders becoming repeatable?
• Is the ACoS acceptable?
• Does this traffic deserve more validation, more resources, or less exposure?

Moving a term to MANUAL or adding it as a negative is only the ex*****on.

The real decision is whether the traffic has earned its next step.

Learn more: www.deepbi.com
Contact: [email protected]

26/09/2026

A higher bid can buy you more opportunities. It cannot guarantee more orders.

When Amazon ads are struggling for impressions, raising the bid may help the campaign compete for more visibility.

But more impressions and clicks only matter if that traffic actually converts.

DeepBI looks beyond CPC alone:
• Which keyword targets generate repeatable attributed orders?
• Which competitor-ASIN targets are actually working?
• Is the ACoS within an acceptable range?
• Are additional clicks creating enough sales value to justify the cost?
• Which targets deserve more advertising resources?

A low CPC is not automatically efficient.

And a higher CPC is not automatically bad if the traffic continues converting profitably within the seller’s target range.

The goal isn’t the highest bid or the lowest CPC. It’s efficient traffic allocation.

The real question is:
Is this traffic worth paying more for?

Learn more: www.deepbi.com
Contact: [email protected]

25/09/2026

For replacement parts on Amazon, conversion starts with certainty.

DeepBI evaluated this stainless-steel grill grate Listing against a benchmark:
DeepBI Listing Score: 69 vs. 71 benchmark

The overall score gap was small — but the comparison still highlighted an important issue.

For a replacement product, shoppers need clear answers to questions like:
• Will this fit my exact grill model?
• Are the dimensions correct?
• Which replacement part numbers are supported?
• What is actually included in the purchase?
• What verified benefits does the stainless-steel construction provide?

The review gap remains a separate trust signal and can’t be fixed through copy alone.

But the Listing can reduce uncertainty by making compatibility, dimensions, included contents, and verified product details easier to check.

More keywords won’t fix uncertainty after the click.

For replacement parts, the goal is simple:
Make it easy for shoppers to know whether this is the right part for them.

Learn more: www.deepbi.com
Contact: [email protected]

24/09/2026

For a high-consideration Amazon product, more traffic isn’t enough if the Listing stops answering questions after the click.

DeepBI evaluated this self-cleaning litter box Listing against a benchmark:
DeepBI Listing Score: 53 vs. 85 benchmark

Interestingly, the Main Image scored slightly higher than the benchmark.

The largest gap appeared deeper in the page.

For a product like this, shoppers may need clear, verified answers to questions such as:
• What cat sizes is it actually designed for?
• How do the verified safety mechanisms work?
• How is the unit taken apart and cleaned?
• Which litter types are compatible?
• What capacity and maintenance expectations are supported by the product facts?

The goal isn’t to make the Main Image busier.

It’s to use secondary images and A+ Content to turn verified specifications into clear, practical product understanding.

Benchmark the gap. Verify the product truth. Then prioritize what buyers need to understand next.

Learn more: www.deepbi.com
Contact: [email protected]

22/09/2026

A competitor-ASIN target that worked before may not stay valuable forever.

Performance changes.

A target that once generated attributed orders may later start accumulating clicks with weaker conversion or a higher ACoS.

And a target that looked weak before may become worth testing again as new advertising data comes in.

That’s why DeepBI doesn’t treat competitor ASINs as a permanent target list.

Instead, it keeps evaluating:
• Which ASIN targets still generate attributed orders?
• Which results are repeatable?
• Which targets are losing efficiency?
• Which ones deserve further validation?
• Where should advertising resources be reduced or reallocated?

The goal isn’t to guess exactly why the market changed.

It’s to use current advertising performance to decide what to do next.

Marketplace conditions create opportunities. Advertising data validates them.

Learn more: www.deepbi.com
Contact: [email protected]

21/09/2026

Keywords aren’t the only way to discover new Amazon traffic.

Keyword targeting helps sellers reach shoppers through search.

Competitor-ASIN targeting opens another set of opportunities to test.

But the goal isn’t to target every competitor — or assume the biggest ASINs are automatically the best opportunities.

DeepBI uses the seller’s own advertising performance to evaluate:
• Which ASIN targets generate attributed orders?
• Which results are repeatable?
• Which targets stay within an acceptable ACoS range?
• Which ones are losing efficiency?
• Which targets deserve more advertising resources?

Keyword targeting and ASIN targeting are not substitutes.

They are two different ways to discover opportunities — and real performance data decides what deserves to scale.

Don’t copy competitor traffic. Validate competitor traffic.

Learn more: www.deepbi.com
Contact: [email protected]

20/09/2026

A new Amazon product doesn’t need the perfect traffic on day one. It needs a process for finding it.

With little or no product-level advertising history, the first stage should be controlled exploration:
Explore → Filter → Validate → Scale

Market signals can help form the first traffic hypotheses.

But real advertising performance needs to answer the important questions:
• Which keyword targets generate attributed orders?
• Which competitor-ASIN targets are actually converting?
• Which results are repeatable?
• Is the ACoS within an acceptable range?
• Which targets deserve more advertising resources?

The goal isn’t to test everything forever — or scale a target after one order.

It’s to let real performance gradually separate promising traffic from inefficient traffic.

Market signals tell you where to start. Your own advertising data tells you where to keep investing.

Learn more: www.deepbi.com
Contact: [email protected]

19/09/2026

Before selling the possibilities, make sure shoppers know exactly what they’re getting.

DeepBI evaluated this printmaking materials Listing against a benchmark:
DeepBI Listing Score: 71 vs. 84 benchmark

The biggest question wasn’t whether the page needed more copy.

It was whether shoppers could quickly understand:
• What is actually included in the kit?
• Which tools are not included?
• Are the dimensions and material details clearly explained?
• Do the images show how the templates, transfer paper, and carving blocks work together?
• Could any demonstration visuals create the wrong expectation about what buyers receive?

The Main Image should clearly and accurately show the actual items included in the purchase.

Then secondary images can explain the workflow, verified specifications, material details, and realistic finished examples.

The goal isn’t to make the page busier.

It’s to remove ambiguity and prioritize the information shoppers need first.

Before showing what buyers can create, make sure they understand what they’re buying.

Learn more: www.deepbi.com
Contact: [email protected]

18/09/2026

Getting clicks doesn’t automatically mean the next problem is advertising.

DeepBI evaluated this foldable exercise mat Listing against a benchmark:
DeepBI Listing Score: 32 vs. 87 benchmark

The comparison highlighted several areas worth investigating:
• Is the product positioning immediately clear?
• Are the dimensions easy to understand?
• Do the secondary images clearly demonstrate foldability and portability?
• Are verified use cases and product features presented in the right order?
• Does the page set accurate expectations before shoppers buy?

The goal isn’t to add more keywords or make every image busier.

It’s to identify the highest-priority information gaps, verify the product facts, and improve the parts of the Listing sellers can actually control.

Reviews remain a separate trust signal. Listing optimization can’t manufacture better reviews — but it can make the product easier to understand before purchase.

Don’t stop at the ads. Check what shoppers see after the click.

Learn more: www.deepbi.com
Contact: [email protected]

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