Queue-it ROI Calculator
Display capped at $999,999,999.
Protect your revenue & brand reputation
Boost staff productivity & reduce stress
Reduce scaling costs & cloud waste
* This calculator is for illustrative purposes only to estimate the potential savings of using Queue-it's virtual waiting room vs. facing performance issues during peak events. Calculations are based on industry research and real customer results, considering value accrued through savings on internal resources, infrastructure costs, and prevention of lost sales and customer loyalty. Estimates are intended solely for general information and education and are not a guarantee of financial benefits.
Calculations for savings on brand reputation and revenue are based on the use of Queue-it to prevent performance-related issues like crashes, overselling, buggy pages, and slowdowns. They take into account the immediate sales loss during peak traffic events, the impact on customer loyalty and lifetime value, and the harm to brand reputation that comes from site performance problems. Resources for calculations include:
Lost sales, trust & loyalty impact
- 60% of consumers won’t return to a site after experiencing a problem
- One in three consumers say they’ll abandon a brand they love after one bad experience
- 64% of consumers are less likely to trust a website after experiencing a crash
- 66% of consumers are less likely to trust a business after experiencing overselling
Harm to reputation & brand value
- Brand reputation is worth 25-38% of a company’s annual turnover
- 44% of executives say downtime has damaged their brand reputation
- 65% of executives say downtime has generated national or international news
- 30% of executives say outages and brownouts have lowered their stock price
- Downtime costs the top 2000 global companies an average of $27 million annually in brand trust campaigns & PR/investor relations (13.5% of total downtime cost)
Performance & customer experience benefits of Queue-it
- 87% of consumers prefer a short wait to a website that works than immediate access to a slow or buggy website
- 84% of consumers prefer an online queue with wait information to a website crash or error page
- 94% of Queue-it customers say the virtual waiting room prevented site performance issues caused by high-traffic
- 88% of Queue-it customers say their customers’ online experience has improved
- 85% of Queue-it customers say their site performance has improved
- 71%of Queue-it customers saw fewer customer complaints for sales/registrations
- 81% of Queue-it customers say their sales are fairer with Queue-it
- 61% of Queue-it customers say they saw fewer instances of overselling
- 59% of Queue-it customers say the virtual waiting room increased conversion rates
- 58% of Queue-it customers say the virtual waiting room increased hype
Calculations for boosting productivity and reducing stress are based on the use of Queue-it to improve optimize the process of running peak events—before, during, and after they occur. They take into account the reduction in on-call staff needed, the reduction in stress created, and the reduction in overtime work hours required when events go smoothly. Resources for calculations include:
Impact of downtime on staff & productivity
- Downtime costs the top 2000 global companies an average of $12 million annually in productivity losses (6% of total downtime cost)
- Downtime costs the top 2000 global companies an average of $11 million annually in overtime wages (5.5% of total downtime cost)
Staff & productivity benefits of using Queue-it
- 81% of Queue-it customers say running sales/registrations is less stressful with a virtual waiting room
- Queue-it customers report a 51% average reduction in on-call staff needed during sales/registrations
- 80% of Queue-it customers sell through product more efficiently, reducing post-sale clean-up activities
- 64% of Queue-it customers say collaboration between business and tech teams improved with Queue-it
Calculations for savings on scaling costs and cloud waste are based on using Queue-it to keep cloud and scaling costs under control during peak traffic scenarios. They take into account the reduction in over-provisioning that Queue-it enables, the ability to handle peak scenarios without spending exorbitant amounts on upgrading services, and the reduction in malicious traffic. Resources for calculations include:
Cost of scaling & downtime
- 27% of cloud spend is wasted on average
- 84% of technical professionals struggle to manage cloud spend
- Downtime costs the top 2000 global companies an average of $11 million annually in additional infrastructure capacity (5.5% of total downtime cost)
- More than a quarter of internet traffic comes from bad bots
Savings on scaling with Queue-it
- Queue-it customers report an average reduction of 38% in server scaling costs
- Queue-it customers report an average reduction of 33% in database scaling costs
- Queue-it customers report an average reduction of 35% in bot mitigation costs
- 80% of customers say Queue-it helped them avoid a major system overhaul
Read the tech & infrastructure savings blog
"If you have peak demand scenarios like an iPhone launch, Queue-it is really a no brainer. It's an easy win for successfully handling big events without investing huge amounts of money into re-architecting for peak traffic.”
TOM GRAMMER, HEAD OF MOBILE SERVICES
"Autoscaling doesn’t always react fast enough to ensure we stay online. Plus, it’s very expensive to autoscale every time there’s high traffic. If we did this for every traffic spike, it would cost more than double what we pay for Queue-it. So Queue-it was just the better approach, both in terms of reliability and cost.”
Mijail Paz, Head of Technology
“Queue-it helped us deploy controlled digital services that kept us out of the news, brought a sense of calm to our organization, and ensured we worked as efficiently as possible.”
Santiago Aguilera Moreno, IT Systems Architect
