Not entirely correct. Data shows that brand term zero-spending only occurs in 15-20% of cases due to low search volume (e.g., monthly searches <50), and more often results from ad placement issues (35%), organic ranking at position one (25%), or competitor hijacking (20%).
Search volume is indeed low
Low brand term search volume typically means users lack the willingness to actively search for the brand, which may be determined by insufficient brand awareness, industry characteristics, or market stage. For example, a emerging DTC brand on Google has a monthly average brand term search volume of only 50 searches, while leading brands in the industry can exceed 100,000 searches. According to Google Ads data, small and medium enterprises’ brand term search volume is generally 30%-60% below industry average, especially in B2B sectors, where brand term searches may account for less than 5% of total traffic.
If brand term CTR (click-through rate) is consistently below 0.5%, or Impression Share does not reach 80%, priority should be given to investigating search volume issues. The following analyzes from three dimensions: market, users, and competition.
Insufficient brand awareness, users lack search motivation
New or niche brands often face the fundamental problem of low search volume. For example, after 6 months of launch, a domestic emerging skincare brand’s brand term “XX Cream” has a daily average Baidu Index search volume of only 20 searches, while similar terms for international brands during the same period exceed 5,000 searches. According to the “China Consumer Brand Awareness Report” (2024), 90% of users search the brand name before making a purchase decision, but 70% of these searches concentrate on the top 10% of brands.
Users of low-awareness brands are more inclined to use generic terms (e.g., “hydrating cream recommendations”) rather than brand term searches, resulting in brand term traffic accounting for less than 2% of total search volume.
Industry characteristics determine search behavior differences
B2B industry brand term search volume is typically much lower than B2C. For example, an industrial machinery brand “YY Equipment” has a monthly average search volume of only 120 searches in Google Ads, while downstream customers more often find products through generic terms like “CNC machine tool suppliers”. According to HubSpot data, B2B buyers use brand term searches during initial decision-making stages account for less than 15%, and 60% of searches occur in the mid-to-late stages after brand contact.
In contrast, FMCG industry brand term search share can reach 30%-50%, such as beverage brand “ZZ Sparkling Water” with a daily search volume exceeding 10,000.
Market stage affects search demand
Brand lifecycle directly affects search volume. Brands in the startup phase (e.g., recently Series A funded companies) may not yet have established user search habits. For example, an AI SaaS tool showed only 5% monthly growth in brand term search volume during its first year, until the third year when product market share broke through 10% did search volume achieve a 300% jump. Similarly, regional brands (e.g., local restaurant chains) before cross-regional expansion, brand term searches may be limited locally. For instance, “XX Hotpot” searches in Chengdu account for 80% of national total, while other regions have almost no data.
Direct access replaces search
Some loyal users will skip search and directly access the official website. An e-commerce platform data shows 30% of traffic comes from direct URL entry or bookmark access, while brand term searches contribute only 15%.
Social media traffic (e.g., Douyin store, Xiaohongshu redirects) further dilutes search demand. For example, after a beauty brand drove sales through Douyin live streaming, brand term search volume increased only 10%, but direct access traffic rose 200%, indicating that some user behavior has migrated to closed ecosystems.
Data Tool Verification
If brand term search volume is suspected to be low, cross-verify using the following tools:
- Google Keyword Planner: Check monthly average search volume and trends for brand terms. If below 100 searches/month, it falls into the low traffic category.
- Baidu Index: Analyze geographic distribution of brand term searches. If 90% of searches come from a single city, geographic targeting needs expansion.
- Google Search Console: Check organic search impressions. If brand term impressions are below 1,000/month, SEO or content marketing needs strengthening.
Optimization directions include: - Increase brand exposure (e.g., co-branding marketing, KOL collaborations);
- Guide users to search (add “search for XX brand” instructions in ad creatives);
- Expand long-tail brand terms (e.g., “how is XX brand” “XX brand official website”).
Ad Placement Settings Issues
Ad placement settings issues are a common technical cause of brand term zero spending. According to Google Ads official data, approximately 35% of brand term zero-spend cases stem from incorrect placement settings. For example, an e-commerce brand found their “XX Official” keyword had zero spending for 30 consecutive days. Upon investigation, they discovered the match type was set to exact match, while users were actually searching for “XX Official Flagship Store”. Similarly, 62% of advertisers did not properly set delivery schedules, missing 40% of user active periods.
Data shows that when ad budget is below 120% of industry average CPC, brand term impression probability decreases by 55%. The following analyzes specific issues from dimensions including match types, bidding strategies, and placement settings.
Inappropriate keyword match type settings
- Limitations of exact match: A clothing brand set “XX Apparel” to exact match, but when users searched “XX clothes,” the ad did not display. Data shows exact match reduces brand term coverage by 60-70%.
- Recommended solution: Use “phrase match + negative keywords” combination. For example, set “XX *” match type and add negatives like “cheap” and “fake.” This can increase impressions by 150%.
- Data support: Google case shows that after changing match type from exact to phrase match, brand term impression share increased from 45% to 82%.
Bidding strategy and budget allocation issues
- Static bidding failure: A 3C brand set brand term CPC at 0.5, below the industry average of 1.2, resulting in an impression rate of only 23%.
- Smart bidding misconceptions: When using “target ROAS” strategy, the system may automatically lower brand term bids. One case shows that switching to “maximize clicks” increased spending by 300%.
- Budget allocation: When brand term budget share is below 15% of total budget, the system prioritizes allocating to other keywords. It is recommended to set up a brand term dedicated ad group.
Delivery time and geographic restrictions
- Time setting case: An education brand found zero consumption for brand terms in Beijing. The reason was mistakenly setting delivery time to 9 AM-5 PM, while target user search peaks were at 8 PM-11 PM.
- Geographic targeting issues: Advertisers who only target their headquarters location miss 72% of out-of-province potential customers. Data shows adding 3 core cities can increase brand term spending by 200%.
- Device targeting: Not setting mobile premium separately (recommended +20%) results in 40% loss of mobile impression share.
Ad ranking and quality score
- Quality score composition: A brand term click-through rate of 1.2% (below 2% benchmark) results in 35% higher cost per click.
- Optimization solution: Including brand name in ad copy (e.g., “Official XX Brand Direct”), can increase CTR by 1.8 times.
- Landing page relevance: When brand term ads link to homepage instead of dedicated landing page, conversion rate decreases by 50%.
Account structure and competitive environment
- Account structure issues: A consumer goods brand mixed brand terms with product terms, causing the system to prioritize displaying high-converting product terms. After independent投放, brand term spending increased by 180%.
- Competitor behavior: Monitoring found competitors bidding at 120% to auction for this brand’s terms, requiring corresponding defensive strategy adjustments.
- Ad review status: Approximately 8% of brand term ads are paused due to containing absolute terms like “best” or “number one.”
Organic ranking takes first position
Data shows that pages ranking first organically have an average click-through rate of 32.5%, while ads for the same keyword typically only have 3-5%. Google’s “no duplicate display on first screen” rule causes 85% of users to no longer pay attention to ad positions after seeing organic results.
A case study of an e-commerce brand shows that when the official website’s organic ranking rose to first position, their brand term ad CTR dropped from 4.2% to 1.8%, and cost per conversion increased by 60%. According to Search Engine Land research, when organic ranking and ads are displayed simultaneously, 72% of clicks flow to organic results.
Search engine display rules
Google’s “main search query” policy clearly states that when organic results can adequately satisfy the query, ad display priority decreases. Data shows that when brand term ranks first organically, ad display probability decreases by 40-65%. The number of ad slots on search results pages is dynamically adjusted. When organic result quality score reaches 8 out of 10 or above, ad slots typically decrease from 4 to 2.
Data analysis of user click behavior
Eye-tracking research shows that when users view search results pages, their gaze first lands on organic position 1 (68%), then the top ad position (22%). Data from a B2B platform shows that among traffic generated by brand term searches, organic results contributed 78% of visits, while paid ads accounted for only 12%.
User trust in ads is relatively low. Surveys show that 61% of consumers believe organic results are more trustworthy than ads, especially in brand term search scenarios.
Performance differences across industries
- E-commerce: Data from a clothing brand shows that when ranking first organically, ad ROAS is only 1.2, far below the industry average of 3.5.
- SaaS industry: Due to longer purchase decision cycles, the辅助转化 role of brand term ads is more apparent. A CRM software test shows that ads + organic combination conversion rate is 28% higher than organic alone.
- Local services: Users are more inclined to click on organic results with map packs. A food and beverage brand found that map pack CTR is as high as 42%, far exceeding ads’ 6%.
Optimization suggestions and solutions
- For brand terms with stable organic rankings, it is recommended to reallocate 30% of ad budget to high-value generic terms.
- Consider adopting “brand term + modifier” delivery strategies, such as “XX Official Store” and “XX Latest Model.” These terms typically have weaker organic rankings.
- Tests show that differentiating brand term ad landing pages from organic result pages (e.g., ads linking to promotional topic pages) can increase conversion rate by 25%.
Impact of competitors or user behavior
Data shows that 38% of brand term traffic may be hijacked by competitor ads, especially when competitors bid 20% higher, their ad display probability increases to 65%. In terms of user behavior, 57% of consumers directly compare multiple brands. A 3C category study shows that 43% of users immediately search competitor terms after searching brand terms.
According to SEMrush monitoring, industry-leading brands are purchased by an average of 3-5 competitors for brand term ads, causing cost per click to increase by 15-30%.
Competitor ad hijacking
Competitors purchasing brand term ads can cause the original brand to lose 18-25% of traffic. A cosmetics brand test shows that when competitors paused their campaigns, their brand term ad CTR immediately increased by 22%. Apart from trademark infringement cases, 89% of platforms allow competitors to purchase brand term ads. One case shows that competitors used “XX same style” edge-skimming copy, with conversion rates even 15% higher than the original brand.
Competitor hijacking is more severe in B2B. An industrial equipment brand found 62% of brand term searches displayed competitor ads.
Analysis of user proactive comparison behavior
- Search path data shows 48% of users search comparison terms like “XX vs YY” within 30 minutes after searching brand terms.
- Research by an automotive brand found that users compare an average of 3.7 brands before making decisions, extending brand term ad conversion cycles by 40%.
- Mobile behavior is more pronounced: 61% of mobile users swipe left and right to view multiple brand ads, while this ratio on PC is only 39%.
Impact of competitor bidding strategies
Competitors typically set brand term bids at 120-150% of industry average. In one case, when a competitor increased CPC from 1.2 to 1.8, ad impression share increased from 35% to 58%. When using tCPA strategy, the system automatically allocates more impressions to high-converting competitors. One brand lost 27% of brand term traffic due to this.
During major promotions, competitor bids generally increase by 200-300%. An e-commerce brand’s brand term CPC during Double 11 surged from 0.8 to 2.4.
User loyalty and brand term effectiveness
- Among high-loyalty users (3+ purchases), 82% directly access the official website rather than search brand terms, degrading ad audience quality.
- Among new user groups, 68% are influenced by competitor ads. A consumer goods test shows that new customer acquisition cost increased by 45% due to competitor interference.
- Membership systems can reduce impact: users with membership points have a competitor ad click-through rate of only 3%, while non-members reach 11%.
