Before hopping on the exciting bandwagon and starting to plan your chatbot, it is worth asking yourself this simple question: how will I measure success? Measuring your chatbotâ€™s user engagement is one way to go. Although not perfect, measuring engagement should give you a better idea of how well your chatbot is performing. This is all well and good, but before we start measuring anything at all, we need a way to benchmark what we find.
Chatbot retention is at the centre of attention, and rightly so. User retention has been a real issue for many chatbots released over the last few months. Some brands reported a 40% user drop-off after the first messageâ€Šâ€”â€Šouch. If you have been busy designing your chatbot, this is something you have to start thinking about. Here at ubisend, we have had the chance to deliver hugely successful projects with high user engagement. Thus, I am sharing our nine rules to maximise chatbot retention.
2016 has been a great year for chatbots. Platforms have launched, APIs have opened up, and incredible resources have started to appear. The community has thrived; it has been amazing to watch and be part of the chatbot revolution. Now, it is time to get ready for 2017. By all accounts, we are still in the very early days of this new conversational-driven trend, and the best chatbots are yet to be built. [Tweet this] Yours could be it.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".