How to filter out low-quality leads in B2B new customer acquisition with Google Ads

Those responsible for Google Ads often encounter an awkward situation: there are plenty of form submissions, but the sales team reports that they are “not in the target industry,” “only asking about retail prices,” or have “demand volumes that are too small”; in some cases, even the email addresses and phone numbers provided cannot be verified. The problem is usually not an insufficient number of leads, but that ads, search terms, and landing pages treat everyone who can submit a form as a potential customer.

When conductingB2B customer acquisition with Google Ads, filtering out low-quality leads cannot rely solely on reducing budgets or increasing bids. A more effective approach is to first define what constitutes a qualified business opportunity, then use keywords to control search intent, use ad copy to clarify cooperation requirements in advance, and finally complete a second round of screening through landing pages and forms. This can reduce ineffective follow-up work for the sales team and ensure that subsequent optimization no longer focuses only on the number of form submissions.

Break down “low quality” into identifiable categories first

Low-quality leads do not necessarily mean there is no intention to purchase. Some contacts may indeed be looking for products but do not fall within the scope of customers the company can currently serve; others may simply be gathering information, seeking job opportunities, or making after-sales inquiries. If all leads are classified as “invalid,” it is difficult for the account to obtain actionable optimization insights.

It is advisable to first summarize the reasons based on sales follow-up records and use consistent labels. For B2B lead generation, common invalid sources include:

• Individual consumers searching for product names, prices, single-unit purchases, or usage instructions;
• Purchase volume, budget, delivery region, or other factors that do not match the company’s minimum cooperation requirements;
• Job seekers, suppliers, peers, or students searching for company information, positions, or downloadable materials;
• Search terms that are too broad, indicating that users are only at an early research stage and have not yet formed a purchasing task;
• Automatically completed forms, fake email addresses, or form submissions from contacts who cannot be reached.

Labels do not need to be overly complex, but they should at least distinguish between “follow-up opportunities,” “conditions not met,” “non-purchase inquiries,” and “invalid information.” Only when a certain type of issue continues to occur can you determine whether to revise keywords, forms, or ad copy.

Tighten search terms first instead of blindly rejecting traffic

The search terms report is the starting point for investigation. Do not look only at whether the keywords themselves are relevant; also examine the modifiers users include in their searches. For manufacturing equipment, components, or business services, terms such as “retail,” “used,” “repair,” “tutorial,” “recruitment,” “free,” and “single sample” often indicate that the intent has deviated from the company’s lead-generation objective.

First, add clearly irrelevant and repeatedly appearing terms as negative keywords. Use negatives with caution: if a term has no value in any context, broad negative matching can be used; if it is invalid only in specific combinations, prioritize negative phrase matching or the full search expression to avoid excluding genuine procurement searches.

More importantly, the target keywords themselves should include B2B signals. Rather than bidding only on broad product terms, organize keyword groups around applications, purchasing roles, and transaction conditions, such as “supplier,” “manufacturer,” “wholesale,” “OEM,” “custom,” “project procurement,” and “industrial.” Different language markets should separately verify commonly used local procurement expressions instead of directly translating Chinese or English terms and launching them as ads.

Ad copy should proactively discourage unsuitable prospects

Some accounts worry that overly specific copy will reduce click-through rates, so they emphasize only product advantages, resulting in a large amount of broad-intent traffic. The goal of B2B advertising is not to obtain the most clicks, but to encourage the right buyers to click.

Cooperation requirements can be presented in advance in headlines, descriptions, or additional information, such as target customers, minimum order requirements, customization capabilities, primary markets, delivery lead-time communication methods, or whether services are only available to business customers. There is no need to phrase this as rigid restrictions, but individual retail buyers should be able to determine before clicking that they are not a suitable match.

Do not promise minimum order quantities, delivery cycles, or service scopes in ads that cannot be consistently fulfilled. Screening information must be consistent with the landing page and the sales team’s communication standards; otherwise, even if users are attracted initially, they may still drop off later due to unmet expectations.

Explain the applicable scope on the landing page before requesting contact information

Many low-quality leads result from a situation where “the ads are highly precise, but the page does not explain who should submit.” When users see a generic form as soon as they enter the page, they naturally regard it as a general inquiry channel. The page should clearly answer, above the fold or near the form: what is provided, which business needs it is suitable for, which situations it is not suitable for, and what will happen after submission.

For example, a B2B inquiry page can clearly display product applications, available cooperation models, and customization or bulk-purchasing processes, rather than only showing “Contact Us Now.” For complex products, specification documents, industry application explanations, or pre-inquiry preparation requirements can also help visitors assess themselves. The closer the information is to actual decision-making, the fewer people will submit casually.

Form fields should support qualification assessment

Forms should not collect only names, email addresses, and messages, nor should they request too much irrelevant information at once. A more practical approach is to retain contact details while adding two to four fields that can assess fit, such as company name, country or region, purchasing purpose, estimated quantity, required product category, and expected purchasing time.

Among these, estimated quantity and purchasing time can use options rather than free-text entries, making submission easier and allowing sales teams to classify leads quickly. For businesses that genuinely require quotations, “Please describe your specific requirements” can be set as a required field, but completion prompts should be provided, such as specifications, materials, dimensions, application scenarios, or target quantities. Vague messages significantly increase follow-up costs.

Do not treat all conversion actions as the same type of success

Downloading a catalog, clicking WhatsApp, making a phone call, viewing a contact page, and submitting an inquiry represent different levels of intent. If the system treats all these actions as primary conversions, automated bidding may prioritize users who are most likely to complete low-effort actions rather than those most likely to become buyers.

Submissions with genuine sales value should be set as core optimization goals, while material browsing and button clicks should be retained as supporting observation metrics. The subsequent quality of phone and instant messaging leads should also be recorded whenever possible; if quality cannot be confirmed, at minimum, a single button click should not carry the same weight as a complete inquiry.

When the sales team can continuously feed back results such as “confirmed qualified,” “conditions not met,” or “unable to contact,” advertising optimization will align more closely with actual customer acquisition goals. Before feedback is provided, evaluation criteria should be standardized: for example, only leads with a clearly identified business status, needs that match the product, and viable purchasing conditions should be counted as qualified leads. Otherwise, differences in judgment among personnel will distort the data.

Make adjustments in a diagnostic sequence to avoid changing too much at once

1. Review recent leads on a sample basis, categorize them by invalidity reason, and check the corresponding search terms, ad groups, and landing pages.
2. First address obviously off-target search terms as well as geographic and language settings, then observe whether newly added negative keywords inadvertently exclude qualified traffic.
3. For frequent mismatch reasons, add information about business procurement, bulk cooperation, or customization requirements to the ads.
4. Adjust landing page descriptions and form fields so that visitors provide necessary qualification information before submitting.
5. Distinguish between primary and secondary conversions, and regularly compare them with sales follow-up results instead of comparing only form costs.

After each adjustment, allow sufficient time for observation and document the changes made. If the number of leads declines but the proportion of qualified conversations increases, the optimization should not immediately be considered a failure. Conversely, if form costs are very low but there continues to be no demand worth following up on, this cannot be regarded as improved customer acquisition efficiency. What B2B advertising truly needs to control is ineffective spending before leads enter the sales process, rather than simply reducing the cost of each submission.