Number of Seats/Users: {post.post_title} offers discounts based on the number of users or seats. A higher volume typically leads to a better discount structure, especially for enterprise-level usage.

Commitment to a Long-Term Contract: Discounts are often provided to companies that commit to using the service for a longer period (e.g., 1-year or 3-year contracts). A longer commitment shows {post.post_title} that the company is serious and willing to invest in the platform long-term.

No Active Discounts: Companies that are not already receiving other active discounts may have a better chance of qualifying for additional discounts from {post.post_title}. {post.post_title} reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: {post.post_title} offers discounts if you agree to a minimum amount of usage or transaction volume. This could be based on data storage, transactions, or other metrics tied to how much you will use the platform.

Enterprise-Level Negotiation: Companies that qualify as “enterprise” due to their size or complexity (e.g., having large teams, multiple departments, or geographical presence) may be eligible for additional discounts from {post.post_title}. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: {post.post_title} often offers discounts if you renew early or prepay for the entire contract period. This is a common approach to securing a lower price.

Here at Spendbase our internal data shows that Lykdat consistently delivers strong value for fashion-focused ecommerce teams, both on the revenue side and on the workflow side.

From the 25 most upvoted inputs from Spendbase clients, a few clear themes stand out:

1. Impact on sales and discovery
   – Many clients report that Visual Search and Text Search make it easier for shoppers to find the right products faster.
   – Apparel Auto-Tagging improves catalog structure, which leads to better search results and higher conversion.
   – Smart Recommendations and Shop The Look drive noticeable growth in average order value, especially for brands with large assortments.

2. Customer experience and engagement
   – Spendbase clients highlight that product discovery feels more “personal” after integrating Lykdat APIs.
   – Product Alerts help bring back undecided shoppers and reduce lost opportunities, improving retention.
   – Several teams mention fewer customer complaints about “not finding what I want,” which suggests better UX and less friction.

3. Operational efficiency
   – Auto-Tagging saves significant manual time for merchandising teams who used to tag items by hand.
   – Teams note smoother catalog maintenance and faster onboarding of new collections.
   – Internal data shows that support tickets related to search or navigation issues tend to decrease after implementation.

4. Ease of integration and collaboration
   – Tech teams generally find the APIs straightforward to work with and mention responsive support.
   – Fashion and marketing teams appreciate that features can be tuned to match brand aesthetics and strategy.

5. Areas clients watch closely
   – Some Spendbase clients track the accuracy of tags and recommendations across niche styles and emerging trends.
   – A few note that optimal results come when they invest time in data hygiene (clean product feeds, good images, clear titles).

In summary, our internal data shows that Lykdat is most valued when:
– There is a broad or fast-changing fashion catalog
– Teams care deeply about product discovery and customer journey
– There is a need to boost both conversion and operational efficiency with AI-powered tools

For Spendbase discount planning, this suggests that Lykdat brings the highest ROI to fashion businesses that want to scale smart recommendations, visual discovery, and tagging across many SKUs without exploding internal workload.