Dexi.io with Mozenda vs. Kantar Marketplace

The Mozenda platform is well suited to some specific scenarios that may work well for your organization. It is especially helpful for basic scraping of information from simple websites. If the information you need to obtain is clearly stated on a website, then Mozenda is a simple solution to capture that data quickly and easily.

Incentivized

Really relevant for testing new product launches with customers. Often NPD fails to find the sweet spot of differentiation and impact (commercial or customer impact) and having the insights to test along the journey makes teams more agile and more motivated to trial new things without sinking over cost where you move from a concept to reality. Also helpful for studying different types of marketing impacts for longer-term campaigns on customer perceptions which are important measures of success beyond the commercial.

Incentivized

• Action Items. Mozenda is broken down into a series of actions that can be performed on a page. Some actions take you to other pages. The action list, while short, provides a comprehensive set of tools for scraping just about any website (I haven't met one where it didn't work yet).
• Error Handling. I've used some scraping tools that have virtually no error handling. Mozenda has great error handling; the software almost always pinpoints the exact action where the agent failed and why.
• Speed. Mozenda is very fast at obtaining results. Other "bot" software can be slow and cumbersome but Mozenda plows through pages rapidly and accurately aggregates information.
• XPath compatibility. One of the most powerful features of Mozenda is the integrated ability to use XPaths to get at the exact bits of information we're after on a particular website. Access to visible information is only limited by imagination.

• There studies provide brand insights in the most particular way.
• They also help in media planning & measuring their effectiveness.
• Helps in building brands.

Incentivized

• The user interface for managing agents can be improved
• When websites change, the agents could be better at dynamically updating
• The "credit" usage can be confusing

Incentivized

• The platform can be confusing to navigate at times; UX could be simplified.
• Ability to utilize more competitive datasets would be helpful.
• Sometimes takes a while to return data and build out full insights.

Incentivized

I'm only personally experienced with UBot Studio and Scrapy. UBot Studio isn't a bad application, though it has quite a large number of bugs when compared to Mozenda. UBot touts itself as low-code, but requires a significant understanding of programming logic to use the program effectively. Using UBot, we were able to get virtually all the results we wanted, but at a much higher labor cost than Mozenda. During initial implementation of UBot, it took me a full week to develop a particularly complicated agent. Using Mozenda, I was able to recreate the same agent in 4 hours. The ROI has been remarkable, and Mozenda really is a low-code platform.

Easy to use, better pricing, deeper understanding.

Incentivized

• Stay relevant in the market
• Ensure product placement against competitors
• Dramatically enhance profitability

Incentivized

• From my position, it's having a positive impact on the people involved in planning customer-led projects - more innovation that is bolder, more confidence we are focussing on the right areas, less time trying to sign things off or dissect where things went wrong, or convincing leadership teams to keep the the testing.

Incentivized