AIMultiple Benchmark Methodology & Its Rationale
AIMultiple benchmarks intention to make related measurements in a clear and goal method.
Clear, information pushed benchmarks of product efficiency are uncommon. Legacy trade analysts like Gartner and Forrester relied on opaque assessments the place solely these items of knowledge have been revealed:
– high-level qualitative (i.e. market understanding) and quantitative standards that merchandise can be evaluated towards1
– high-level assessments of those standards with out disclosing the values driving the evaluation
These assessments relied on information that was supplied by distributors which have undisclosed business relations with analysts.
Subsequently the outcomes are topic to quite a few points similar to:
- Analyst bias: Analysts would consider vendor representatives’ responses together with qualitative responses. Vendor representatives with business relationships with the trade analyst have the prospect to construct relationships with them by scheduling calls over the yr. Nevertheless, vendor representatives with out such business relationships would current their product over a single name.
- Battle of curiosity: For these assessments, vendor representatives can be requested questions on their personal information (e.g. revenues, options, roadmap and so on.). Since it will be clear which responses result in higher outcomes for the seller (e.g. increased product revenues are more likely to end in a better rank), vendor representatives face a battle of curiosity.
How does AIMultiple guarantee objectivity?
To make sure that AIMultiple doesn’t favor any answer and doesn’t depend on different sources of revenue to run the benchmark: Every participant will
- pay a participation charge
- present free entry to their answer through the evaluation.
AIMultiple will help the objectivity of its work with transparency since it’s more likely to scale back corruption and enhance high quality of outcomes.
How does AIMultiple guarantee transparency?
Detailed outcomes of the assessments (excluding any human judgement the place potential) will probably be shared with all taking part events.
For instance, if the evaluation entails measuring a worth utilizing automated programs, the contributors will all obtain these values:
- Evaluation timestamps for all contributors
- Measured metrics for his or her product and the common product
Why do you have to be part of?
Advertising and marketing & gross sales
To have a doc that benchmarks your answer available in the market. If the benchmark helps your advertising and marketing messages, you possibly can again up advertising and marketing claims with third get together information gathered through an goal and clear course of.
Product
To know your product’s strengths and weaknesses in a data-driven method.
Why do you have to not be part of?
To get leads. AIMultiple is both the worldwide chief or one of many leaders in digital viewers within the domains the place it runs benchmarks. Nevertheless AIMultiple benchmarks are technical paperwork and will not be geared in the direction of a big viewers.
Attain out to AIMultiple workforce through [email protected] if you want to have an AIMultiple benchmark in your area.
- How Markets and Vendors Are Evaluated in Gartner Magic Quadrants. Gartner. January 22, 2016. Retrieved June 21, 2023.
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.
Cem’s work has been cited by leading global publications including Business Insider, Forbes, Washington Post, international companies like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You possibly can see extra respected firms and assets that referenced AIMultiple.
All through his profession, Cem served as a tech marketing consultant, tech purchaser and tech entrepreneur. He suggested enterprises on their expertise choices at McKinsey & Firm and Altman Solon for greater than a decade. He additionally revealed a McKinsey report on digitalization.
He led expertise technique and procurement of a telco whereas reporting to the CEO. He has additionally led business development of deep tech firm Hypatos that reached a 7 digit annual recurring income and a 9 digit valuation from 0 inside 2 years. Cem’s work in Hypatos was coated by main expertise publications like TechCrunch like Business Insider.
Cem commonly speaks at worldwide expertise conferences. He graduated from Bogazici College as a pc engineer and holds an MBA from Columbia Enterprise College.
