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

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

Early Renewal or Prepayment: TryThat.ai 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 feedback on TryThat.ai is broadly positive, especially for clients focused on smarter property spending and negotiation.

Key strengths our Spendbase clients highlight:

• Accurate, location-specific insights
• Clients appreciate how quickly they can get property rate ranges for specific neighborhoods.

• Market condition summaries (buyer vs. seller market, recent price shifts) are seen as particularly helpful for timing purchases and rentals.

• Helpful for budgeting and negotiation

• Many Spendbase clients mention using TryThat.ai to benchmark asking prices against local averages.
• This helps them decide when to negotiate, walk away, or move fast on a good deal.

• Several note that it makes early-stage budgeting for relocations or investments much easier.

• Simple exploration of listings

• The ability to explore listings directly in the same interface where they ask questions is seen as a real time-saver.

• Clients like being able to add or check specific properties and instantly ask, “Is this price fair for this area?”

• Good value with free and premium options

• Free access is considered strong enough for casual users evaluating a move.
• Power users and investors tend to lean toward premium for more frequent queries and deeper trend insights.

Common friction points our internal data picks up:

• Coverage gaps
• Some niche or rural areas have thinner data, which can lead to more general guidance instead of precise numbers.

• Clients sometimes want deeper historical trends than what’s surfaced by default.

• Learning curve for best queries

• A few Spendbase clients note that getting the most useful answers requires asking quite specific questions (e.g., time range, property type).

Overall impact for Spendbase clients:

• Better decision confidence

• Users feel more confident walking into conversations with brokers, sellers, or landlords because they have quick, data-backed benchmarks.

• Time savings for research

• Instead of scrolling through multiple sites, clients rely on TryThat.ai as a single, chat-based layer on top of market data and listings.

In short, our internal data shows that TryThat.ai works best for users who want clear, conversational guidance on “Is this property fairly priced here and now?” and are willing to ask targeted questions to unlock its full value.