Engagor (discontinued) vs. PageLever (discontinued)

Engagor is a very powerful tool for customer care purposes to be able to engage in real-time with your customers. If there are a lot of messages coming in during important peaks throughout, we can easily answer them every 30 seconds.
Engagor isn’t that fit to use for publishing. We mostly use Engagor to reply to messages in real-time. However, for scheduling posts in Engagor, we publish and schedule on the native platform instead.

Pagelever has an amazing team that helps clients get what they need. They understand the needs and are there to help you get the benefits you need from your competitors. In comparison with some other vendors we have worked with, they adopted a true partnership approach. They are very good at listening to what we wish to achieve and then helping us tweak the product to meet our goals. We were initially on the Professional plan and even before we eventually upgraded to the more fully-featured Agency plan, they were very willing to work with us to make sure the product did what we needed it to do. Moving to the Agency plan was great since it gave us additional agency features that were very important such as giving our clients automatic acces to their data and allowing us to set up custom KPIs and custom reports.

• Real-time mention tracking is a must these days. Quick responsiveness is critical on many social media platforms, especially on Twitter.
• Fast and helpful support via Engagor chat and messages helps a LOT! I think the longest wait time was about 40 seconds for me. My workflow never gets disrupted because of idle sessions.
• Automations can help you a lot. Automated "recipes" are great tools for decreasing your agents' workload, and there are many customizable settings for them.

• 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.

• The UX is pretty clunky. Engagor only loads about 10 mentions per page, so if my team is behind on tagging/mention resolution by a couple of days, for a global brand that can mean an extra week of work. Would be much easier if the user could choose how many mentions show up on their screen.
• Over the year we have had issues with Engagor's glitches. For example, the user has the capability to publish to a platform (like Facebook, Twitter, etc.) through Engagor as the brand. For a couple of the brands we work on, Engagor would show the update as published as one brand, but would actually publish as another. As an agency that handles social media content/community management for several very large brands, we cannot afford to have accidental status updates despite the author's efforts. This happened several times over the course of our experience with Engagor, to a point that we had to forego this feature for those brands and publish natively through the platform.
• It has definitely skewed reporting numbers more than once -- for a set time period (i.e. 30 days, our typical monthly reporting period), the stats for a platform will appear very different from how they display on the native platform itself. For example, on occasion Engagor would load numbers from a Facebook fan count during a 30-day period that did not at all match up with the numbers Facebook showed me. This also applies to the number of overall mentions of a brand/account.
• There is no immediately clear "undo" feature when resolving a mention. There have been times I have bulk-tagged a set of mentions, set all as resolved and then realized that I had made an error, without a very clear way to revert that action.
• Double mentions have shown up, skewing numbers and sentiment/tagging analytics.
• The insights/reporting section could definitely be a little more clear in how it explains metrics (or why the user should care to report these metrics). While we have an analyst on our team who is happy to explain these terms, I can see how some of them would not be intuitive at all to a user who doesn't live and breathe social media analytics. Also, the line graphs can be very difficult to read and parse. If the user downloads a line graph to their desktop from Engagor, it doesn't necessarily show all of the information you need, making it necessary to screengrab rather than downloading a higher-quality visual.

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

Both the tool and the support that we receive from the customer service department and the customer success manager makes me likely to renew the use of Engagor.

PageLever is a fantastic product for agencies. The ability to customize and easily share metrics with our clients is key. Many other tools are great for corporate use, but PageLever is a particularly effective tool for agencies working with multiple clients.

Sprout Social is good for smaller accounts with limited traffic. Some insights available but often questionable data. Only picks up direct interaction (i.e. doesn't monitor likes or favourites). Sysomos was used for a while, but spent ages defining search times still producing questionable data. Did not properly monitor Facebook interaction and often did not pick up from that platform at all. Customer service only operated in US time (we are UK) which proved increasingly problematic

• Better customer service.
• Better detection of potential crisis on social media which leads to avoiding the crisis or better managing it.

• 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.