What many future online retailers don’t realize is that the cost of software isn’t simply the initial price plus licenses. In reality, the usability, scalability, time-tomarket and many other factors will affect ongoing direct and indirect costs over the entire product lifecycle. This lifetime price is known as total cost of ownership (TCO). This paper compares the TCO of the two most widely used eCommerce solution types: Open-Source and Software-as-a- Service (SaaS).
A new point-of-sale system can pay for itself in a year or less when you consider the ROI from a Loyalty program, better inventory control, faster checkout, detailed customer analysis and all the options that are available. If you’re considering a new system, fill out the form below, and we will recommend one to three POS systems based on your specific business needs. It’s free and easy and there’s no obligation.
Equipment failure on your router, utility work outside, weather conditions, and even high web traffic can lead to the temporary disruption of internet connections. This disruption can create chaos if these connectivity blips affect your ability to process customer transactions. Retailers that rely exclusively on cloud POS systems can find themselves unable to complete sales when the system falls offline for any reason. That was the problem facing Affordables Apparel.
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 Obama AND Romney or Obama + Romney.
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, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
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".