Webfluenz is a social media monitoring, analytics, engagement, and management tool. The platform analyzes events, personalities, brands, and names across social networks, blogs, video and photo sharing services, microblogs, mainstream online news, forums, and local sources for specific geographies. Features include the ability to search in 90 languages; customizable filters; sentiment analysis; consumer intent quotes; demographics; unlimited ad hoc queries; comparative benchmarking; keyword and custom alerts; influencer profiles; real-time and archival data; and more.
Enterprise pricing ranges from $299 per month to $499 per month. A 14-day trial for a one-search topic profile starts at $49.99.
Shane Jacob, principal and head of digital media at The PRactice, has been using Webfluenz for about three months.
How do you use it?
We log on to our dashboard and it gives us an overview of engagement that's happening for clients based on keywords we have set in place.
We usually perform a deep dive analysis because that's where we get insight into the overall kinds of conversations happening across platforms. We can look at conversations based on sentiment and track negative and positive conversations.
We have to filter in terms of location because the data may not be 100% perfect in terms of profiles from India. We get the odd mention of a client from a profile that's not in India, so we have to segregate.
The filter for India is set up by default. If we're looking for something specific – for example, if we have a client event and hashtags or keywords for it – we'll go deeper into the filter piece to generate a report around it so we can take appropriate action.
Once we're clear on the status of how things are with regard to an overall conversation, we look at the kinds of people that have been mentioning a client's brand and identify influential people for that day.
We email customer support whenever we have a problem, and we usually get a response in well under an hour. If the problem can be solved right away, they solve it. A technical issue may take a little more time to get resolved.
We recently had a problem with a report. We told customer support about it at 5:35pm. By 5:40pm they told us they were looking into it and by 6:10pm it was resolved.
How does it serve your business needs?
The data and information we get from Webfluenz helps us identify influencers, understand how to position a product, and map out content strategy when a client is dealing with negative issues and crisis.
It helps us make decisions going forward and back plans and recommendations for clients with data. If I'm looking at the next steps in terms of communications for a client, it gives me insights into my approach to the strategy, such as who we are engaging and which platforms are showing a higher degree of activity.
It plays into content strategy as well, because if the content around a brand and industry is moving in a direction that is slightly different from what the client is doing, we have to ensure we create content according to what the larger community is interested in.
It also allows us to see the transition of customer feedback or customer brand mentions, and we can understand which platforms are doing better when it comes to escalation of problems on a product or general feedback around a brand. If a conversation is negative, we can see the seriousness of an issue and then set processes in place to address it if necessary.
If I'm looking at insights for new business development for the agency for a particular industry or a particular potential new client, I need to understand what kinds of conversation are happening around that industry, product, or service. Webfluenz has been great for primary research in terms of what consumers are saying about a brand, product, or service. I can pull out conversations, get context, and then recommend an approach.
What are the main benefits?
We like the quality in terms of tracking real-time mentions. When we are doing on-the-ground events for clients, being able to see real-time mentions allows us to know the sentiment of the crowd and if we're on the right track.
Mentions are unlimited in our package, and that is great.
We like the user interface. Details are given in depth. The graphical format is easy to understand, so it's been easy to train our employees to use it.
The influencer and publisher options allow us to easily search for active influencers and publishers.
What are the main drawbacks?
In terms of reporting in a CSV or in an Excel format for a specific time, selective sections are generally not as specific as we want them to be.
What would you like to see improved/added?
I would like to be able to tag influencers and publishers as relevant for a particular brand and build an ongoing list. This would allow me to see only those people's conversations and not the entire data set. That would be great, and it's a feature we expect Webfluenz to offer.
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