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

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

Early Renewal or Prepayment: Scibids 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 Scibids is generally seen as a high‑value, performance‑driven tool, especially for brands focused on programmatic efficiency and scale.

Overall sentiment
– Average rating in our dataset is around 4.5–4.7 out of 5.
– Most Spendbase clients describe it as “easy to use,” “cost‑efficient,” and “a strong performance partner.”

What Spendbase clients like most
Our internal feedback clusters around a few key strengths:

1) Performance & ROI
– Significant CPA reductions (e.g., one client reports –16% CPA).
– Better CPMs and stronger conversion performance, particularly on video and YouTube.
– Works well across many KPIs when enough data is available.

2) Time savings & automation
– Huge reduction in manual optimization work (one client estimated 1/100 of previous time).
– Automated bidding and pacing are repeatedly called out as very valuable.
– Lets teams shift focus from micromanaging bids to strategy and creativity.

3) Ease of setup & daily use
– Simple implementation via major DSPs.
– Setup often handled by Scibids’ team after access is granted.
– UI is described as intuitive by many clients.

4) Customer support
– Consistently praised as “superb,” “proactive,” and “fast.”
– Weekly check‑ins and close account management are common and highly appreciated.

Common pain points and risks
Our internal data also highlights some recurring friction areas to be aware of in negotiations and adoption:

• Data hunger: Performance depends on having enough volume; low‑data campaigns see less benefit.
• Learning curve: First weeks require adjustment and testing, and sometimes the algorithm “needs a push.”
• UI & workflow gaps:
• Some clients dislike changes in the new interface.
• Desire for easier campaign changes mid‑flight and better visibility into which campaigns are not using Scibids.
• Reporting & insights:
• End‑of‑campaign insights and audience learnings are often viewed as too limited or manual.
• Black‑box perception & AI trust:
• Some teams are skeptical of AI decisions and stop too early in the learning phase.
• Scope limitations:
• Demand for broader support (e.g., social media campaigns) and more detailed audience breakdowns.

How this guides Spendbase discount strategy
– Clear value is tied to high‑volume, performance‑driven use; discounts should reward scale and long‑term commitments.
– Reporting and insight gaps, UI limitations, and separate billing from DSPs are strong levers for negotiating better commercial terms or added services.