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Predictive analytics
Uses machine learning to provide accurate sales forecasts
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Integrations
Integrates with Salesforce, Marketo, and other popular sales tools
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Customizable dashboards
Allows users to create personalized dashboards to track sales performance
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Limited features
Lacks some advanced features found in other sales analytics tools
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Expensive
Pricing may be too high for small businesses or startups
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Steep learning curve
May take time for users to fully understand and utilize all features
- Could expand integrations with other popular sales tools to attract more users
- Could add more advanced features to compete with other sales analytics tools
- Could partner with other SaaS companies to offer bundled services
- Faces competition from other sales analytics tools such as InsightSquared and Clari
- A recession or economic downturn could lead to decreased demand for sales analytics tools
- Increased concerns over data privacy could lead to decreased adoption of sales analytics tools
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http://www.aviso.comReview Distribution
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High - rated users
Aviso has many quickly accessible views of data by team, segment, manager and rep. It's excellent for conducting 1x1s and for Sales Operations to collect data. Our team gets great value from this data.There is little flexibility to create a custom report and save it for regular use. In the past, there were delays in developing new features.
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Average - rated users
Month to month breakdown, dashboard, and recent changes made to forecast are good. Ability to change amount and see closed deals, upside, commit, all good.Updates should be communicated to users. Tutorial was not available and now I'm lost to give my manager monthly breakdown of deals.
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Low - rated users
Friendly UI is great for our business and managers. Aviso has created great visibility for our organization. Aarathi Chelat's work has been helpful in doing yearly/quarterly budgets/forecast with Aviso. She has been easy and fun to work with in providing API data.There were some downsides where we were not able to get all the data from using the API calls. With Aarathi Chelat's help, this was resolved in a quiet fast manner.