Hivesight is a B2B influencer discovery platform that helps marketers identify creators their ideal customers genuinely trust. It moves beyond vanity metrics to focus on qualitative trust signals and ICP alignment, enabling businesses to build campaigns that drive pipeline and ROI.
Passionfroot is an AI-powered B2B influencer marketing platform that connects tech brands with creators. It streamlines the entire workflow from creator discovery and campaign management to payments and performance tracking, helping brands scale their growth through trusted voices.
Hivesight is a B2B influencer discovery platform that helps marketers identify creators their ideal customers genuinely trust. It moves beyond vanity metrics to focus on qualitative trust signals and ICP alignment, enabling businesses to build campaigns that drive pipeline and ROI.
Passionfroot is an AI-powered B2B influencer marketing platform that connects tech brands with creators. It streamlines the entire workflow from creator discovery and campaign management to payments and performance tracking, helping brands scale their growth through trusted voices.
| Feature | Hivesight | Passionfroot |
|---|---|---|
| Primary category | Account Based Marketing | Influencer Marketing |
| Added | 2025-08-16 | 2025-08-11 |
| Pricing | Paid | Freemium |
| Official website | hivesight.so | www.passionfroot.me |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 1.1K | 159.5K |
| Monthly growth | -65.8% | -5% |
| Favorites | 124 | 148 |
| Details | View details | View details |
Compare Hivesight and Passionfroot by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the Hivesight vs Passionfroot monthly traffic comparison, Hivesight currently shows 1.1K visits and Passionfroot shows 159.5K; Passionfroot has about 144.1 times the visible traffic of Hivesight, an absolute difference of about 158.4K 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.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 100% | 1.1K |
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 54.55% | 87K |
| 🇵🇱Poland | 14.79% | 23.6K |
| 🇬🇧United Kingdom | 11.86% | 18.9K |
| 🇮🇳India | 11.48% | 18.3K |
| 🇦🇺Australia | 7.32% | 11.7K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 89.79% | 143.3K |
| Referral | 6.28% | 10K |
| 3.93% | 6.3K |
This in-depth Hivesight vs Passionfroot comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Hivesight is primarily listed under “Account Based Marketing”, while Passionfroot is primarily listed under “Influencer Marketing”, 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: Account Based Marketing; Passionfroot: Influencer Marketing); Pricing (Hivesight: Paid; Passionfroot: Freemium); Monthly visits (Hivesight: 1.1K; Passionfroot: 159.5K); Monthly growth (Hivesight: -65.8%; Passionfroot: -5%); Favorites (Hivesight: 124; Passionfroot: 148). These facts are more useful for selection than brand visibility alone.
In the Hivesight vs Passionfroot monthly traffic comparison, Hivesight currently shows 1.1K visits and Passionfroot shows 159.5K; Passionfroot has about 144.1 times the visible traffic of Hivesight, an absolute difference of about 158.4K 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 Passionfroot 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.
Hivesight and Passionfroot currently overlap in shared categories: Influencer Marketing and Lead Generation; shared tags: b2b marketing, creator economy, and lead generation. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Hivesight's unique categories/tags are Account Based Marketing, Analytics, ABM, ICP analysis, influencer discovery, marketing analytics, and pipeline marketing; Passionfroot's are Collaboration, AI marketing, brand collaboration, campaign management, content marketing, creator discovery, and influencer marketing. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
Hivesight has no verified rating, 0 comments, 124 favorites, and 131 likes；Passionfroot has no verified rating, 0 comments, 148 favorites, and 134 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put Hivesight on the priority trial list when the task aligns with “Account Based Marketing” and especially Account Based Marketing, Analytics, ABM, ICP analysis, influencer discovery, and marketing analytics. 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.
Put Passionfroot on the priority trial list when the task aligns with “Influencer Marketing” and especially Collaboration, AI marketing, brand collaboration, campaign management, content marketing, and creator discovery. This follows recorded positioning and does not imply unlisted capabilities are absent.
Passionfroot also currently records: pricing is freemium, product type is website, 159.5K 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.
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 Passionfroot, 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.
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