Hivesight é uma plataforma de descoberta de influenciadores B2B que ajuda os profissionais de marketing a identificar criadores em quem seus clientes ideais genuinamente confiam. Ele vai além das métricas de vaidade para focar em sinais qualitativos de confiança e alinhamento com o ICP, permitindo que as empresas criem campanhas que impulsionam o pipeline e o ROI.
O Vector é uma plataforma de marketing baseada em contatos que ajuda as equipes B2B a identificar e engajar compradores com alta intenção. Ele vai além do marketing tradicional baseado em contas, desanonimizando os visitantes do site no nível do contato e usando sinais de compra em tempo real (como visitas ao site, mudanças de emprego e dados de intenção) para impulsionar campanhas de anúncios hiper-segmentadas em plataformas como LinkedIn, Google e Meta. Essa abordagem aumenta a eficácia dos anúncios, eleva as taxas de resposta de outbound e alinha os esforços de vendas e marketing para converter contatos conhecidos em pipeline.
Visão geral
Hivesight Visão geral
Hivesight é uma plataforma de descoberta de influenciadores B2B que ajuda os profissionais de marketing a identificar criadores em quem seus clientes ideais genuinamente confiam. Ele vai além das métricas de vaidade para focar em sinais qualitativos de confiança e alinhamento com o ICP, permitindo que as empresas criem campanhas que impulsionam o pipeline e o ROI.
Vector Visão geral
O Vector é uma plataforma de marketing baseada em contatos que ajuda as equipes B2B a identificar e engajar compradores com alta intenção. Ele vai além do marketing tradicional baseado em contas, desanonimizando os visitantes do site no nível do contato e usando sinais de compra em tempo real (como visitas ao site, mudanças de emprego e dados de intenção) para impulsionar campanhas de anúncios hiper-segmentadas em plataformas como LinkedIn, Google e Meta. Essa abordagem aumenta a eficácia dos anúncios, eleva as taxas de resposta de outbound e alinha os esforços de vendas e marketing para converter contatos conhecidos em pipeline.
Detailed feature comparison
| Feature | Hivesight | Vector |
|---|---|---|
| Categoria principal | Marketing Baseado em Contas | Segmentação de Público |
| Adicionado | 2025-08-16 | 2025-08-12 |
| Preço | Pago | Freemium |
| Site oficial | hivesight.so | www.vector.co |
| Tipo de produto | Site | Site |
| Performance data | ||
| Avaliação | Não verificado | Não verificado |
| Comentários | 0 | 0 |
| Visitas mensais | 1.1K | 60.9K |
| Crescimento mensal | -65.8% | 13.9% |
| Favoritos | 114 | 111 |
| Details | Ver detalhes | Ver detalhes |
Hivesight vs Vector monthly traffic
Compare Hivesight and Vector by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Hivesight vs Vector monthly traffic comparison, Hivesight currently shows 1.1K visits and Vector shows 60.9K; Vector has about 55 times the visible traffic of Hivesight, an absolute difference of about 59.8K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Hivesight monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/7: 1.3K Visitas mensais
- 2025/8: 1.2K Visitas mensais
- 2025/9: 3.2K Visitas mensais
- 2026/3: 0 Visitas mensais
- 2026/4: 0 Visitas mensais
- 2026/5: 1.1K Visitas mensais
Principais regiões
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 100% | 1.1K |
Palavras-chave
Vector monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 21.2K Visitas mensais
- 2026/1: 34K Visitas mensais
- 2026/2: 36.9K Visitas mensais
- 2026/3: 29.5K Visitas mensais
- 2026/4: 53.4K Visitas mensais
- 2026/5: 60.9K Visitas mensais
Principais regiões
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 89.62% | 54.6K |
| 🇳🇬Nigeria | 4.98% | 3K |
| 🇬🇧United Kingdom | 1.99% | 1.2K |
| 🇿🇦South Africa | 1.71% | 1K |
| 🇫🇷France | 1.7% | 1K |
Fontes de tráfego
| Source type | Percentage | Traffic |
|---|---|---|
| Direto | 97.02% | 59.1K |
| 2.17% | 1.3K | |
| Referência | 0.81% | 493 |
Palavras-chave
Usage comparison
Compare the core capabilities of Hivesight and Vector
Hivesight Core features
Vector Core features
Use cases
Hivesight Use cases
Vector Use cases
Hivesight vs Vector:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Hivesight vs Vector comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Hivesight is primarily listed under “Marketing Baseado em Contas”, while Vector is primarily listed under “Segmentação de Público”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Hivesight: Marketing Baseado em Contas; Vector: Segmentação de Público); Pricing (Hivesight: Paid; Vector: Freemium); Monthly visits (Hivesight: 1.1K; Vector: 60.9K); Monthly growth (Hivesight: -65.8%; Vector: 13.9%); Favorites (Hivesight: 114; Vector: 111). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Hivesight vs Vector monthly traffic comparison, Hivesight currently shows 1.1K visits and Vector shows 60.9K; Vector has about 55 times the visible traffic of Hivesight, an absolute difference of about 59.8K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Vector first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Hivesight and Vector currently overlap in shared categories: Marketing Baseado em Contas e Geração de Leads; shared tags: Marketing Baseado em Contas, Marketing B2B e Geração de leads. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Hivesight's unique categories/tags are Análise, Marketing de Influência, Economia dos criadores, Análise ICP, Descoberta de influenciadores, Análise de Marketing e Marketing de pipeline; Vector's are Segmentação de Público, Segmentação de anúncios, Construção de Público, marketing baseado em contato, Geração de demanda, Automação de marketing, Inteligência de vendas e Identificação de visitantes do site. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Hivesight has no verified rating, 0 comments, 114 favorites, and 117 likes;Vector has no verified rating, 0 comments, 111 favorites, and 115 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Hivesight first
Put Hivesight on the priority trial list when the task aligns with “Marketing Baseado em Contas” and especially Análise, Marketing de Influência, Economia dos criadores, Análise ICP, Descoberta de influenciadores e Análise de Marketing. This follows recorded positioning and does not imply unlisted capabilities are absent.
Hivesight also currently records: pricing is paid, product type is website, 1.1K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Vector first
Put Vector on the priority trial list when the task aligns with “Segmentação de Público” and especially Segmentação de Público, Segmentação de anúncios, Construção de Público, marketing baseado em contato, Geração de demanda e Automação de marketing. This follows recorded positioning and does not imply unlisted capabilities are absent.
Vector also currently records: pricing is freemium, product type is website, 60.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Hivesight and Vector, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




