Number of Seats/Users: Quini Data 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 Quini Data 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 Quini Data. Quini Data reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: Quini Data 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 Quini Data. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: Quini Data 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 Quini Data delivers very strong value for wine businesses that care about consumer insight and cost control.

From what our Spendbase clients share with us, the main strengths cluster around:

• Deep consumer insight
• Unequalled depth of sensory and behavioral data
• Ability to see exactly what people like or dislike: price, flavor, style, label, value

• Real-time data collection in both controlled and real-world environments

• Revenue and product impact

• “Extension of your tasting room anywhere in the country” – helps convert tastings into smarter product and pricing decisions
• Better understanding of taste profiles leads to more targeted assortments and higher customer satisfaction

• Useful both for small retailers and large producers, creating a level playing field

• Cost and efficiency

• Our internal data shows that clients typically cut consumer research cost and time to roughly one-third of legacy methods
• Self-serve dashboard reduces the need for external research agencies

• Data export to R/Minitab removes the need for expensive custom analytics builds

• User experience

• Quini is described as easy to use for end consumers and engaging for wine education events
• Visual tools (like the “tasting flower” and “Somm” features) make learning about wine fun and sticky

At the same time, Spendbase clients point out a few friction points to factor into budgeting and rollout:

• Learning curve
• Some wine executives find the data tabs and matrices initially daunting

• Occasional need for support to locate specific reports or answer detailed questions

• Feature gaps

• Built‑in advanced statistics (e.g., ANOVA) is limited; teams often export data for deeper analysis
• Descriptor taxonomy can differ from traditional wine vocab, which may require short onboarding for staff

From a Spendbase discount and savings perspective, our internal data shows that Quini Data tends to pay off when:

• You run frequent tastings or product tests
• You currently outsource consumer research
• You want a scalable, reusable framework for wine feedback instead of one‑off studies

Overall, Spendbase clients see Quini Data as a high-ROI, insight-rich tool that replaces fragmented, expensive research workflows with one structured, visual platform.