Fliptop (Discontinued Product) vs. Infer

1. Be sure to specify and understand the impact on your model when looking at volume versus value factors. 2. Ask all your potential vendors about set-up costs and time. 3. Understand, with any predictive model, how it will affect both marketing and sales - a predictive tool should bring the two closer together. 4. Remember - its predictive, not all-knowing and brief/train your teams accordingly.

It is ideal to expand the range of customers, to have an updated and optimized database with interested customers, and allows sales and marketing agents to work in achieving sales and not in the laborious task of finding customers. This software is very effective and delivers what it promises.

Incentivized

• Listening to customers - very responsive customer success team.
• Working with customers to build the most predictable model.
• Easy to set up and get useful reporting quickly.

• Provides insights on companies to help you infer if they would be a good fit to prospect into, or not
• Collects data on external sites very well

Incentivized

• A little more explanation of how different factors can affect the model in terms of the customer objectives - they've really listened here and have really focussed on the changes we needed to make.
• Update specific fields/features e.g. multi-currency support (now done), non-confusing field names (being released), custom fiscal years for reporting (coming I believe)

• The user interface and all the information it generates on the main screen can be cumbersome.
• The learning curve is quite considerable and it takes a few hours of training to understand the system.
• The software becomes cumbersome when information needs to be passed to Salesforce.

Incentivized

We pushed Fliptop through to preferred vendor because (at that time):

• Fast set up time with zero cost
• Public appexchange listing (passed salesforce security)
• Demonstrated best understanding of our requirements

I believe that the two complement each other. Datanyze pulls off of a number of data points. Onsite it can pull technologies used (javascript based and also infrastructural), products offered, SEO ranking, and it even integrates with LinkedIn to pull names. Datanyze also has prospecting features - you can pull lists of companies based on technologies used, location, SEO (Alexa/changes with Alexa rank, SEO strategy, speed testing), SEM data points, industry, employee or revenue size, funding round dates and amounts, business segment, founding date, etc. It integrates with salesforce too so you can import leads directly into the system with the paid version. We bought for the scoring, but there is a lot that it can do.

Incentivized

• Before fliptop around 50% of our MQLs were in lower quality accounts, that number has reduced to around 15%.
• We have identified the key market segments that drove over 50% of our growth last year.
• Real focus for the marketing teams and intel on where to focus key email and nurture campaigns.

• Once adapted to the software, we have been able to get a lot out of it, as we have been able to increase sales with the leads we have found.
• Also, the sales department is more focused and works in a much more organized way, increasing their daily performance and productivity.

Incentivized