Tracking Viral Campaigns – Indian Influencer Dataset Powers Marketing Strategy

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Introduction

In India’s booming creator economy, a Mumbai-based digital agency struggled to scale influencer campaigns across diverse regions and platforms. Manual discovery, lack of performance data, and limited regional insights hampered results. They partnered with ArcTechnolabs to access Social Media Review Datasets powered by Web Scraping Social Media Content . The goal: boost campaign ROI through smarter targeting, engagement analytics, and viral trend tracking—across Instagram, YouTube, and Twitter/X.

Client Overview

A Mumbai-based digital marketing agency managing campaigns for FMCG and D2C brands needed a scalable way to identify high-impact influencers in India. With rising ad fatigue and low ROI on traditional digital channels, the agency pivoted to micro and macro influencer-led strategies across platforms like Instagram, YouTube, and Twitter. Their challenge was identifying authentic creators, measuring campaign performance, and tracking viral trends in real time—across India’s multilingual, multi-platform landscape.

The Challenge

The agency encountered several key hurdles in executing effective influencer campaigns. Influencer discovery was largely manual and skewed toward already-popular names, limiting reach and novelty. They lacked structured data on engagement rates, follower growth trends, and niche audience focus, making it difficult to evaluate true creator impact. Benchmarking campaign performance by industry or city was nearly impossible without standardized metrics. Additionally, they needed deeper regional influencer intelligence beyond Tier 1 cities to scale nationally. Lastly, the absence of tools to identify viral spikes or track content format trends—such as Reels versus Posts—hindered their ability to react in real time.They partnered with ArcTechnolabs for a real-time, structured Indian influencer dataset to power campaign strategy.

Key-Challenges

ArcTechnolabs Solution:

ArcTechnolabs deployed a multi-platform scraping engine to compile and refresh an India-specific influencer dataset every week. ArcTechnolabs compiled a comprehensive influencer intelligence dataset by sourcing data from major platforms including Instagram India, YouTube India, Twitter/X India, and optionally, LinkedIn Creators. The dataset included a wide range of fields to support deep analysis: influencer handle and name, platform and category (such as Fashion, Tech, Food, Fitness, etc.), follower count along with growth rate, and engagement rate based on likes, comments, and shares. It also captured regional details like city, state, and language, as well as top hashtags used, average views per post or video, and recent brand collaborations. Additionally, the dataset featured profile bio keywords for niche detection and an AI-powered Viral Index to score creators based on follower growth, content shares, and trend alignment.

Arctechnolab-Solutions

Sample Dataset Snapshot

Handle Platform Category Followers ER% Region Viral Index Language
@itsme_shweta Instagram Fashion 1.2M 5.4% Delhi NCR 8.9 Hindi
@techguyrahul YouTube Tech 3.1M 4.8% Bengaluru 9.3 English
@desifoodbyte Instagram Food 850K 6.2% Mumbai 8.6 Hinglish
@dancemaddy TikTok* Dance 1.9M 7.1% Kolkata 9.1 Bengali

*TikTok banned in India; historical and Instagram Reel backup available

Client Testimonial

"Partnering with ArcTechnolabs transformed our influencer marketing strategy. Their India-specific influencer dataset gave us the precision we needed to target the right creators, track engagement in real time, and forecast what content would go viral. We were able to scale regionally with confidence, thanks to detailed performance insights and trend data across multiple platforms. It’s no longer guesswork—it's data-driven growth."

— Head of Digital Strategy, Mumbai-Based Marketing Agency

Conclusion

ArcTechnolabs empowered a Canadian real estate firm to benchmark competitors with confidence, using fresh scraped listings across major realty portals.

In just three months, they were able to:

  • Accelerate listing performance
  • Retain sellers with stronger data-backed pricing
  • Respond faster to competitor activity

In real estate, timing and positioning are everything—ArcTechnolabs delivers the data to master both.

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