😫 Sick of grappling with data to find the answers that senior managers are asking for?
😤 Incessant manual tagging and guessing at the keywords people use the bane of your life?
😎 Wish you could be more proactive with your analysis chops and demonstrate your true insight prowess?
Then you're gonna need more than traditional NPS/CSAT, social listening and sentiment tools can offer...
Not just a tally of the most used words which fit into an angry or happy box.
Other solutions treat words like numbers, so their AI isn’t as accurate as your data (and time) deserves.
So if you care about insights, you need to care about words - Because context is everything!
After all, you're only one '😂' from amazing or laughable customer service.
Which is so easy to use, even an eight-year-old can use it.
See the issues impacting sentiment or being talked about most - and trend how it’s changing
Group and analyse your data by the subjects you care about. By keyword or/and by context. Plus - unlimited themes per user and no need to request changes
Completely unsupervised text clustering (unknown unknowns), that tells you what people are talking about - right out of the box
Ditch the crystal ball with no more endless keyword hypothesising - Search and discover the conversations you care about, without having to second guess the keywords customers might be using
In this recorded session Wordnerds uses the latest AI and linguistic capabilities to show how brands can use social, customer and employee data and established media to deliver real-time, actionable insight to chart progress against strategic objectives and then improve it, using the top UK supermarkets as a test case.
If your existing text analysis solution is reliant on manual data tagging or other people picking themes for you, then you better allow for some heavy h-anger induced bias. Read on...
If you’re in insights, and you’re not full-on besties with the top brass where you work, you’re doing them and your organisation a significant disservice. Read on...