Firebrand Flywheel

Maximizing backlist sales with intelligent, data-backed metadata ehancements

Schedule a Demo

Unlock Hidden Revenue in Your Backlist

Your backlist is one of your most valuable assets, but identifying which titles are poised for renewed success can be difficult and time-consuming. Flywheel is an data-driven metadata optimization service that uses proprietary data models and machine learning to identify titles with the greatest opportunity for increased discoverability and sales.

By analyzing retailer trends, consumer behavior, and title performance data, Flywheel pinpoints the books most likely to benefit from targeted metadata enhancements. The result is increased visibility, stronger conversion rates, and meaningful sales growth—helping publishers maximize the value of their existing catalog without increasing marketing spend.

Download Flywheel Product Flyer

Flywheel tracks real-time retailer trends and consumer behavior to pinpoint the exact books most likely to benefit from targeted metadata improvements

Intelligent Recommendation Engine

We use data science and machine learning to analyze sales history and statistical trends. This allows us to accurately pinpoint which backlist titles will sell right now.

Targeted Metadata Enhancements

Let our experts optimize your keywords, BISAC subjects, and book descriptions. We utilize AI-supported tools to sharpen product information and drive conversions.

Success-Based Fee Structure

Enjoy a risk-free investment where you only pay a percentage of the net sales increase. We won't make money unless you make money.

Algorithmic Retail Optimization

Leverage natural algorithmic testing on major retail sites like Amazon to systematically increase glance views. Watch your sales rank and overall revenue climb.

Actionable Results Dashboard

Monitor your ongoing success with an intuitive dashboard. Easily review sales predictions, discoverability rankings, and conversion rates to track your exact ROI.

Automated, Hands-Free Execution

Streamline your workflow by letting our experts handle the heavy lifting. We implement data updates and continuous optimizations seamlessly, maintaining sales momentum with virtually no impact on your existing workforce's time.

Go Deeper: Flywheel

See how Flywheel unlocks the hidden revenue potential in your backlist catalog

Flywheel is a revolutionary backlist sales and marketing service powered by data science and machine learning. By analyzing historical sales data, statistical predictions, and current events, our recommendation engine strategically identifies which backlist titles are primed for optimization at the exact right moment.

The real value is in effortless revenue growth. With expert metadata enhancements, algorithmic retail testing, and a risk-free success-based fee structure, your team can consistently boost discoverability and conversions without draining their own time and resources.

Download our product flyer to explore the full capabilities of Flywheel and discover how it can create unstoppable momentum for your backlist book sales.

Download Flywheel Case Study

While Flywheel helps publishers identify individual titles with immediate sales-growth potential, our separate Metadata Review Service takes a broader view—analyzing the health of your entire catalog and providing a clear, actionable plan for metadata improvement.

Whether you're preparing for a catalog cleanup project, evaluating metadata quality across thousands of titles, or simply looking to improve discoverability at scale, our Metadata Review Service provides the insights needed to prioritize your efforts and maximize impact.

What We Assess

Our automated quality assessment benchmarks your catalog against publishing industry best practices across four critical metadata elements:

Keywords
Evaluate search terms and discoverability signals to identify opportunities for improved retailer and consumer search performance.

BISAC Codes
Verify that titles are categorized accurately and strategically to align with retailer merchandising systems and recommendation algorithms.

Author Biographies
Assess author information for completeness, consistency, and reader engagement potential.

Long Descriptions
Analyze consumer-facing copy to identify opportunities for stronger discoverability, merchandising, and conversion.

Request More Information

Countless studies prove that high-quality metadata directly correlates to increased book visibility and revenue. For example, a study by Nielsen showed that properly enriched titles can generate up to 75% higher average sales. However, knowing where to begin a data cleanup project across a vast catalog is often a daunting hurdle for publishers. Utilizing the powerful assessment tools also utilized in Flywheel, the Metadata Review Service runs your entire product list through an automated quality assessment, benchmarking four critical elements—keywords, BISAC codes, author biographies, and long descriptions—against proven industry standards. You receive a comprehensive action report paired with two 30-minute expert consultations (before and after your cleanup) to ensure your team's remediation efforts translate directly into increased discoverability and a maximum return on investment.

What You Receive

The result is a detailed metadata health report that highlights strengths, identifies gaps, and prioritizes opportunities for improvement. Armed with clear recommendations and data-backed insights, your team can focus resources where they will have the greatest impact on discoverability, customer engagement, and long-term catalog performance.

Metadata Review

Frequently Asked Questions about Firebrand Flywheel

Frequently Asked Questions about the Metadata Review Service

Why should we invest time and resources in auditing our backlist metadata?
While most publishers focus heavily on new frontlist releases, industry data shows that approximately 70% of all book unit sales come from the backlist. Furthermore, studies indicate that titles with optimized basic metadata experience 75% higher average sales than those without. Auditing your backlist is a highly strategic, cost-effective way to drive immediate revenue without acquiring new content.
Which specific metadata elements does the assessment analyze?
What deliverables and support do we receive with this service?
You receive a comprehensive action report detailing exactly where your current metadata falls short of industry standards, paired with a 30-minute expert consultation call to help your team build a practical, revenue-driving cleanup roadmap. Once your team completes the data remediation (which must be done within one year), we run the automated assessment a second time and provide another 30-minute consultation to validate your improved data compliance.
How does this service help our catalog perform better on Amazon and other retail sites?
The vast majority of consumers find books via search engines rather than browsing category trees. Our automated assessment evaluates the density and structure of your data—such as keyword string lengths, character and word counts, and the use of meaningful, retailer-accepted HTML tags—to ensure your product listings are perfectly formatted to be indexed and prioritized by advanced retail search algorithms.
What is the cost structure for the Metadata Review Service?