Gloda Launches Fulfillment Rate Tool for Tiktok Sellers

Gloda's new 'Fulfillment Rate' feature quantifies a creator's execution and cooperation, helping brands select TikTok creators more precisely, reduce collaboration risks, and improve content launch efficiency and sales conversion rates. This feature offers fulfillment rate filtering, horizontal comparison, and historical record viewing tools, empowering merchants to achieve data-driven creator selection and boost TikTok business growth. By providing a clear metric of reliability, brands can optimize their influencer marketing campaigns and achieve better ROI on the TikTok platform.
Gloda Launches Fulfillment Rate Tool for Tiktok Sellers

Have you ever experienced this frustrating scenario? You send out product samples to influencers, only to hear nothing back—like a stone dropped into the ocean. When the content finally goes live, the results are underwhelming. For cross-border e-commerce brands on TikTok, selecting influencers can feel like playing roulette—a gamble where poor choices waste both time and money. Gloda's newly launched "Fulfillment Rate" feature aims to change that, offering a data-driven solution to identify reliable collaborators and maximize ROI.

What Is Influencer Fulfillment Rate and Why Does It Matter?

In simple terms, fulfillment rate measures the percentage of times an influencer delivers content as agreed after receiving samples. This metric reflects an influencer's reliability, professionalism, and commitment—key factors in successful collaborations. Choosing influencers with high fulfillment rates minimizes risks, ensures timely content delivery, and ultimately drives better sales performance.

Data highlights the impact:

  • Influencers with ≥90% fulfillment rates publish content in just 4.2 days on average.
  • Conversion rates improve by approximately 16% when working with high-fulfillment creators.

Gloda's Fulfillment Rate Feature: A New Standard for Influencer Selection

Gloda's feature functions like a "creator credibility system," analyzing multiple dimensions of an influencer's reliability to help brands make informed decisions.

1. Influencer Discovery Module: Filter by Fulfillment Rate

Brands can set minimum fulfillment rate thresholds (e.g., ≥85%) to prioritize dependable influencers and filter out high-risk candidates.

2. Influencer List Page: Compare Performance at a Glance

Side-by-side comparisons of fulfillment rates allow brands to evaluate creators beyond just follower counts or sales metrics.

3. Influencer Profiles: Historical Performance Insights

Detailed records show past fulfillment rates, content turnaround times, and other key metrics, enabling comprehensive assessments.

A 3-Step Guide to Finding High-Performing TikTok Influencers

  1. Navigate to Gloda's influencer discovery page.
  2. Set fulfillment rate filters (e.g., ≥80%).
  3. Review detailed profiles to analyze historical performance and conversion metrics.

High vs. Low Fulfillment Rates: The Difference in Collaboration

Criteria High Fulfillment (≥85%) Low Fulfillment (≤60%)
Content Timeline Stable, on-schedule publishing Unpredictable, potential breaches
Communication Responsive and cooperative Delayed or inefficient
Partnership Quality Higher repeat-collaboration potential Increased trial-and-error costs
Conversion Lift +16% N/A

Additional Strategies to Improve Fulfillment Rates

Beyond using Gloda's tools, brands can take proactive steps:

  • Establish clear contractual terms regarding timelines, content requirements, and penalties for non-compliance.
  • Maintain regular communication to address questions and monitor progress.
  • Provide high-quality samples and creative assets to facilitate content production.
  • Develop long-term partnerships with top-performing influencers.

Conclusion

In TikTok's competitive landscape, selecting the right influencers is crucial for success. Gloda's fulfillment rate feature introduces a measurable standard to identify reliable partners, reducing risks and optimizing marketing outcomes. By leveraging data-driven insights, brands can transform their influencer strategies from guesswork to precision.