A low keyword count does not necessarily indicate an advertising issue. It is usually related to the amount of advertising data available, the scope of traffic exploration, the filtering process, and keyword click and conversion performance. This article explains how keywords move from discovery to increased investment through a four-layer traffic funnel. It also outlines how to determine whether the limited count results from insufficient data, a narrow exploration range, filtering based on performance, or weak Listing relevance and conversion. Use these checks to evaluate keyword quality rather than focusing only on the number of keywords identified.

29. Why Is the Number of Keywords So Low?

A low keyword count usually does not mean that the system is not running, and it does not necessarily indicate a serious problem with the Listing or advertising. Keywords must be validated through data such as impressions, clicks, conversions, and cost performance before they may move from traffic exploration into more targeted advertising. This is especially true for new products, accounts with limited advertising history, or situations where the current traffic volume is small. In these cases, the number of valid keywords that the system can identify and retain may naturally be limited.

Keywords Are Not All Generated at Once

DeepBI's quantitative advertising uses a four-layer traffic funnel. The exploration layer mainly expands coverage through AUTO campaigns and competitor ASIN campaigns. Its purpose is to find potential order opportunities, not to identify a large number of highly targeted keywords immediately. New converting search terms found during exploration are combined with the store's advertising data from the past two months and then enter the initial screening layer, where lower-quality traffic is filtered out.

As a result, keyword volume is directly affected by the amount of actual advertising data available. If the store has had few impressions, clicks, or orders recently, the sample of search terms available for analysis will also be limited. If the Listing is new, there may not yet be enough historical data for the system to evaluate performance. The system must first accumulate valid samples through exploration.

Therefore, seeing only a small number of keywords may mean that the data has not yet reached a sufficient level for full screening. It does not necessarily mean that keywords were simply omitted. Keyword discovery is a progressive process: the system first collects traffic and performance signals, then uses those signals to determine which terms should continue to receive attention.

Multiple Screening Rounds Remove Low-Quality Keywords

After entering the initial screening layer, keywords go through multiple tests in the targeted layer. Screening is not based only on whether a keyword has generated an order once. It also considers traffic relevance, click-through rate (CTR), conversion rate (CVR), order value, spending, and ACoS as part of the overall performance evaluation.

A keyword that produces an occasional order, receives many clicks but converts poorly, or maintains a high cost over time may not continue to be retained. This process means that the final keyword count can be smaller than the number of search terms encountered during the exploration stage.

The scaling layer concentrates resources even further. Data indicates that after targeted-layer screening, approximately 10% to 15% of traffic is considered to have conditions for continued scaling. The system increases the budget or bids for these keywords. In other words, a small number of keywords may be the result of performance-based screening. The count represents the range considered suitable for sustainable advertising, rather than the total number of search terms that have ever received exposure.

This distinction is important when evaluating keyword volume. A higher count does not automatically mean better advertising performance. Retaining terms that generate traffic but do not produce sufficient conversions, or that consistently create excessive costs, can weaken overall efficiency. The screening process is intended to focus resources on terms with more stable click and conversion potential.

Check Both Advertising Data and Listing Relevance

First, review whether there has been enough exposure, traffic, and order activity over a recent period. Do not evaluate keyword volume based only on a single day. The dynamic bid and parameter adjustment process primarily considers combined performance from the past seven days and also accounts for advertising attribution delays. Because of this, keyword volume may fluctuate in the short term.

Next, check whether the exploration layer has AUTO campaigns or competitor ASIN campaigns providing new traffic sources. If the exploration range is narrow, fewer new search terms will be available for later screening. A limited keyword count may therefore reflect limited traffic discovery rather than poor performance during the filtering process.

Listing relevance should also be evaluated. The title, bullet points, and other page content can affect search relevance, CTR, and CVR. If shoppers see the advertisement but do not click, the issue may be related to the main image, title, or advertising relevance. If the advertisement receives many clicks but produces few conversions, the traffic intent may not be sufficiently precise, or the page may not effectively support conversion.

Keyword placement and content diagnosis during Listing optimization can help improve relevance and conversion potential. However, advertising data must continue to validate the results after optimization. The effectiveness of a change should not be judged only by the number of keywords placed in the Listing.

If the keyword count remains low for an extended period, review the issue in four stages: data volume, exploration range, screening performance, and Listing support. Confirm that advertising is running continuously, then review changes in impressions, clicks, orders, and ACoS. Determine whether few new terms are being discovered or whether new terms are being removed during screening.

It is not advisable to retain keywords with weak conversion performance or consistently high costs simply to increase the total count. Keyword volume should support traffic quality and overall advertising return rather than serve as an isolated target.

Summary

A low keyword count is commonly related to insufficient advertising data, limited traffic exploration, or multiple screening rounds that retain only a small number of terms with stable click and conversion performance. Use data from the past seven days and longer periods when reviewing the issue, identify the funnel layer where each keyword is located, and check Listing relevance together with CTR, CVR, and ACoS.

The appropriate goal is not to increase keyword volume for its own sake. Instead, continue accumulating keywords that can generate valid orders and show potential for sustained scaling, while removing or excluding terms that provide weak traffic quality or poor cost performance.