Awario vs PageLever (discontinued)

• Monitor brand mentions & keywords across a number of platforms (Twitter, Facebook, Instagram, YouTube, Reddit, and blogs/websites).
• Advanced filtering by date range, country, negative keywords, domains, and more.

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• It has amazing in depth of data about Facebook Pages. For example, it shows us how exactly content is being consumed over time. We can easily see segmented data showing what content is being consumed by which demographic groups. It's also very easy to incorporate all this data into a a usable report which can be share with our clients.
• Analysis with competitive streams: We can compare metrics across client accounts to quickly spot anomalies or see if, for example, low click-through rate is specific to one client, or is common across our account base and possibly due to external factors.
• Very easy to use - great usability. The product is quite flexible and we can easily configure custom reports with dashboards and KPIs that are specific to our client's use cases.
• Client access: Clients can log-in to the system to see customized reports that we configure specifically for them. This is a huge advantage.
• The ability to track changes in metrics over different time periods is also extremely helpful. This is often a key metric for our clients and it is very simple to pul this data from the system.

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• A better onboarding process would've gotten me hooked earlier
• Better ongoing training and support, perhaps a certification process, would make this easier to customize for niche use cases.
• Using advanced functionality would be easier with more hand-holding

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• The interface should be a little bit faster. Since the system contains a lot of data, it can be a bit slow to load.

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• I've been able to find a handful of negative mentions about my brand that wound up being a misunderstanding - by responding to these complaints I was able to clear up misunderstandings, which helped retain customers and bring on new ones - it's hard to calculate exact ROI, but it's definitely been in the positive.

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• Great data that can help a lot in decision making. For example, as the system provides very granular, real-time data we can easily see if certain posts / conntent is resonating with the target deomgraphic group or not. If we are trying to appeal to males between the ages of 35 and 45, it's quite simple to see if our messaging is effective in reaching this group. We can do A/B testing and test different things until we find the content that resonates most strongly with this demographic group.

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