Plan - 1) Map goals and audience fit, 2) open our AI-curated shortlist of top indian travel youtubers 2024 vetted by content relevance, audience quality, engagement and geo alignment, 3) launch or A/B test campaigns - start with a 7-day free trial to analyze any creator and scale faster.
Top Indian Travel Youtubers 2025 - Curated Creator Picks
We analyzed content relevance, audience quality, engagement trends and fraud signals to surface this Top-20 of indian travel youtubers—ready to explore, compare and export for fast campaign launches.
How recent is the influencer data and how often does it refresh?
We refresh core metrics on a rolling last-30-days window and update pasted profiles and stats in seconds, so you see near-real-time L30D averages for ER%, views, cadence and recent-post data every time you load a profile.
Can I compare Instagram, YouTube and TikTok creators side-by-side?
Yes. We standardize Instagram, YouTube and TikTok metrics - ER%, min/avg/max views, posting cadence and audience buckets - so creators appear apples-to-apples in one grid for side-by-side diagnostics, profile sheet comparisons, and export-ready rows.
Can I export creator contact details and shareable reports after signup?
Yes. After signup you can export creator contact details and shareable reports: Profile Analysis (PDF & JSON), saved lists (CSV), Media Plan rows to Google Sheets, Campaign Monitoring CSV/Excel and shareable dashboards. Exports require sign-in and are available from the shortlist, profile view and Media Plan.
How do you normalize metrics for fair cross-platform comparisons?
We convert each platform's raw signals into comparable fields - L30D ER%, min/avg/max views and posts/mo - then contextually normalize for follower size and cadence. That yields apples-to-apples ER, view bands and posting cadence so you can fairly rank Instagram, YouTube and TikTok creators side-by-side.
Can I build a media plan with apples-to-apples creator rows?
Yes. Build a Media Plan with creator rows formatted for direct comparison: L30D followers, ER%, min/avg/max views, posts/mo, audience gender/age/countries, and outreach fields — exported to a live Google Sheet so teams can shortlist, approve and hand off without manual reformatting.
How do you verify audience quality and detect influencer fraud?
We run multi-layer checks: semantic analysis of content and hashtags, audience composition (gender, geo, language), engagement consistency versus spikes, growth patterns, reachability filters, and fraud signals. Results surface as diagnostics on the profile sheet so you can quickly spot inorganic followings or suspicious engagement.