Evaluation Methodology


Connecting buyers with the best in web design & development.

SmartRankā„¢ Algorithm

Scientific approach to recommendations.

We have developed our SmartRankā„¢ algorithm through the use of over ten years of research. Our algorithm accounts for factors that we have found to most influence the success of a web design or web development projects.

Our rankings are based on real data obtained during our research and are updated in real-time based on new data.

Sentimental Factors

Positive reception.

How buyers and the design and development industry feel about a brand is important. Our algorithm measures how a brand is perceived on social media and how it is referenced in media to compare it to others within the industry. Our recommended web design and development firms establish a positive brand image and inspire confidence with buyers.

Review Factors

Buyer feedback influences recommendations.

One of the most critical factors influencing placement in our algorithm involves investigating client reviews and comparing firms through them. Our algorithm takes into consideration how many reviews a web design or development firm has, the level of detail those reviews go into, and the recency of the review in additional to a growing number of other factors. Care is taken to discount reviews that use emotional language or contain factors that may mean the review was not left by a legitimate customer.

Engagement Factors

Industry involvement is crucial.

During our ten years of research we have found the most successful design and development firms to be the ones that are most active both online and within their industry. Our algorithm gauges how a firm engages with their audience by favoring those which respond to reviews and answer questions about their services. Whether or not they share insight and help educate those looking for or providing design and development services is also factored into the scoring.

Profile Factors

Updated information is key.

Not only do web design and development firms benefit from having up-to-date information on their profile, buyers benefit by being able to reach the right firm with the right information. Our algorithm takes into consideration how active and involved a firm is with ensuring their profile contains correct information and offers a buyer enough information to make an educated purchasing decision.

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