Case Study: Sticking to Success

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How DeepM Helped a Professional Tape Brand Strengthen Visibility Across Core, Gaffer, and Specialty Tape Clusters

A leading U.S. brand in the tape and surface-adhesion industry, offering a full range of duct, gaffer, and specialty-use tapes for both professionals and consumers, partnered with DeepM to enhance visibility across Amazon’s competitive tape segment. The brand’s catalog spans repair, industrial, and construction-grade tapes, stage and production gaffers, and fluorescent and colored varieties used for crafting, labeling, and safety marking. With a strong reputation for durability, adhesive reliability, and color consistency, the brand serves diverse markets — from entertainment production and event management to home improvement and education.

DeepM identified a diverse set of search opportunities within the brand’s catalog, which broadly falls into two primary tape typesduct tapes and gaffer tapes.
Using its predictive modeling framework, DeepM pinpointed a series of search terms with high short-term ROI potential, reflecting areas where ranking elasticity and intent alignment were strongest. These targeted search terms can be divided into two groups:

  • Color-oriented terms — standard duct and gaffer tapes emphasizing color variety for everyday repair, labeling, and organization.
  • Visibility-oriented termsneon, fluorescent, and glow-in-the-dark variants designed for stage production, safety marking, and creative applications.

This dual-cluster focus allowed DeepM to align optimization efforts precisely with how Amazon’s algorithm differentiates between practical utility and high-visibility intent, ensuring the brand’s listings were positioned effectively across both use cases.

The Challenge

While the brand already had a strong reputation and broad product line, its Amazon visibility did not yet reflect that standing. Across both duct and gaffer tape segments, listings appeared inconsistently — often buried beyond the top search results for key color and visibility-driven terms. Before optimization, average ranks for many of these terms ranged between #20 and #40, meaning the products were seen by far fewer potential buyers despite being competitive in quality, reviews, and fulfillment performance.

DeepM’s initial diagnostics revealed uneven content-to-intent alignment, with listing text, attributes, and imagery not always matching how shoppers phrased their searches. Sponsored activity was present, but largely compensating for low organic positioning rather than reinforcing relevance.

The objective, therefore, was not to chase a quick ROI but to execute a foundational repositioning — moving the brand’s core and specialty tape listings into stronger visibility zones, establishing the momentum required for long-term top-of-page competitiveness.

The DeepM Strategy: Precision Rank Lifts + Cluster Activation

DeepM focused on strengthening the brand’s organic foundation through data-driven prioritization and disciplined content improvement.
Working across both duct and gaffer tape families:

Content Optimization

Product titles, bullets, and backend keywords were methodically rewritten where required, to improve thematic clarity and phrase matching. This led to substantially better positioning in content relevance compared to the competition, experiencing jumps of tens of percentage points in some cases.

Spend Optimization

DeepM guided the brand toward a more balanced investment strategy, ensuring that advertising spend supported organic progress rather than compensating for weak placement. Budgets were adjusted selectively — reinforcing high-elasticity keywords while moderating those with limited incremental return — leading to a more efficient alignment between paid visibility and long-term organic growth.

Results

The optimization drove consistent upward movement across nearly all targeted search terms, establishing a clear improvement in the brand’s overall visibility within both duct and gaffer tape segments. For the products already ranked in the top 10, ranking improved by ~3 positions on average, while in the lower ranking products, average change in rank was ~10 positions. Market share followed the same trend, with most terms climbing from near-zero presence to mid-single or low-double-digit shares, marking meaningful progress toward category competitiveness. Examples:

  • Spike tape” advanced from #2 to #1, gaining 3% in market share.
  • Neon gaffer tape” moved from #10 to #4, gaining 5% in market share.
  • Neon tape” improved from #19 to #6, gaining 7% in market share.
  • Orange duct tape” rose from #32 to #15, gaining 3% in market share.
  • Brown duct tape” advanced from #39 to #16, gaining 3% in market share.

Conclusion

DeepM’s structured, data-driven optimization helped a leading professional tape brand make a decisive shift in Amazon visibility across two of its main product lines. By strengthening content alignment, refining spend balance, and improving semantic clarity across color and visibility-oriented terms, the brand established a stronger foundation for long-term competitiveness around these search spaces.

With double-digit ranking gains in multiple high-volume keywords and steady market share growth, this phase marked a critical repositioning milestone — transforming the brand’s product line from mid-page visibility to emerging front-runner status within its key tape segments.

Why It Worked

  • Cluster-focused execution – DeepM optimized around two clear product clusters — duct and gaffer — ensuring relevance patterns matched how Amazon differentiates buyer intent between utility and visibility-driven searches.
  • Foundational rank progression – Rather than chasing rapid spikes, the strategy aimed for stable rank lifts across multiple SKUs, positioning the listings for sustained upward momentum.
  • Content–intent alignment – DeepM’s structured content rewrites enhanced thematic clarity and consistency, directly improving Amazon’s interpretation of keyword relevance.
  • Spend balance and efficiency – Budget realignment reinforced high-elasticity terms while reducing waste in lower-return areas, maximizing the organic impact per dollar spent.
  • Brand responsiveness – The brand’s rapid implementation of DeepM’s recommendations ensured that modeled opportunities turned quickly into measurable ranking and share improvements.

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