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

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

Early Renewal or Prepayment: Engati 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 Engati leaves a generally positive impression, but with a few consistent pain points that matter for cost-conscious teams.

Overall sentiment:
– Average rating across our clients: roughly 3.9–4.1 / 5
– Strong satisfaction with ease of use and speed to deploy
– Noticeable group of clients with very negative experiences, usually tied to support, bugs, and pricing vs. value

What Spendbase clients like most:
– No-code and fast setup
– “Build a bot in minutes” comes up often
– Simple, visual flows and intuitive UI
– Multi-channel coverage
– Easy integration with Facebook, WhatsApp, websites, Slack, etc.
– ML/NLP capabilities
– FAQ generation and training on documents are frequently praised
– Support (when it works well)
– Many clients highlight responsive, helpful onboarding and ongoing support
– Good analytics
– Useful data to track conversations and improve bots

Key friction points:
– Pricing and value:
– Often called “expensive for startups/small businesses”
– Clients say it pays off only when there’s enough volume to justify 24/7 automation
– Stability and bugs:
– Mobile app issues, freezing, and missed live-chat notifications
– Occasional platform glitches (bot rename issues, connection problems, backend reloads)
– Integrations and APIs:
– Repeated requests for:
– More robust REST/API webhooks (POST/PUT)
– Deeper integrations with CRMs and third‑party tools
– Better support for external web apps and API hosting
– Documentation and learning resources:
– Outdated or short tutorials
– Need for more step-by-step guides, especially for non-technical teams
– Support inconsistency:
– While many praise support, a subset reports slow, email-only responses and missed expectations during onboarding
– Risk and transparency concerns (outliers but serious):
– A few clients mention data, number loss, and unmet promises around timelines and WhatsApp migration

How we at Spendbase interpret this for cost optimization:
– Engati is a strong fit if you:
– Need quick, no-code deployment across many channels
– Have enough support volume for the automation to offset the higher license cost
– You should budget extra time and resources if you:
– Rely heavily on advanced APIs, complex integrations, or mobile live chat
– Need guaranteed white-glove onboarding and strict SLAs on response times