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

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

Early Renewal or Prepayment: Sesame 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 Sesame performs strongly for teams that care about caller security, fraud prevention, and smarter call handling.

From what our Spendbase clients share with us, a few themes stand out:

1. Security and fraud prevention
   – Clients highlight that natural speech voice biometrics significantly reduce fraud attempts in call centers.
   – The “no enrollment needed” aspect is praised, since callers are verified passively during normal conversation.
   – Many teams say this reduces the burden on agents to ask extra security questions.

2. Call center efficiency
   – Our internal data shows that Sesame helps classify calls faster and route them more accurately.
   – Anti-spam and answering machine detection save agents time by filtering out low-value or automated calls.
   – Managers report lower average handling time and fewer repeated verification steps.

3. Customer experience
   – Spendbase clients appreciate that callers don’t have to “do” anything special to be identified.
   – The experience feels more natural, with less friction at the start of the call.
   – Fewer security questions mean conversations can move to problem-solving and sales more quickly.

4. Analytics and sentiment insights
   – Teams using Sesame value built-in sentiment analysis for understanding caller mood in real time.
   – Our internal data shows that these insights help managers coach agents and detect at-risk customers earlier.
   – Some clients connect sentiment trends with churn or upsell results to guide training and scripts.

5. Implementation and operations feedback
   – Clients tend to note that Sesame integrates well into existing call center flows once initial setup is complete.
   – There is appreciation for real-time performance and minimal noticeable lag in identification.
   – A recurring request is for even deeper dashboards and more granular reporting out of the box.

In summary, Sesame is perceived by Spendbase clients as a strong fit if you want to:

• Lower fraud risk without annoying your callers
• Automate call classification, anti-spam, and answering machine detection
• Gain sentiment data to manage agent performance and customer satisfaction
• Keep identification passive and natural, without an enrollment process

If cost optimization is your priority, our discount work typically focuses on aligning Sesame’s pricing tier with actual call volumes and feature usage, so you only pay for what your team truly needs.