Our mobile-friendly sites are designed for small screen and the capabilities of most popular mobile devices. Our 5 Mobile Site Best Practices blog outlines the 5 most important things we'll do to turn your site into a great mobile experience.
1.) Keep It Quick
Mobile users are generally short on time and short on patience, squeezing in browsing as they go about their day. We'll design your site to load fast (less than 5 seconds) and make text easy to read.
2.) Simplify Navigation
Clear site navigation and search functionality (on larger sites) will help your customers easily find what they need.
3.) Be Thumb-Friendly
Thumbs are the most common appendage (thumb isn't a 'finger') to operate mobile devices. We'll design your site so even large hands can easily interact with it.
4.) Design for Visibility
Our mobile-friendly sites get the message across without causing eyestrain. We'll make it easy for your customers to read your site in almost any environment.
5.) Make It Easy to Convert
Regardless of what your site does, we'll make it easy for your customers to interact with you.
Learn more about our Mobile Site Design services.
Units of Measure
A "unit of measure" is a term that gives a meaning to some quantity. For example some common units are "ea", "pr", "lbs.", "gal.", etc.
When a good unit of measure does its job you hardly notice them. In contrast if they're confusing or unclear they will definitely cause you problems.
If your business system supports it I recommend you create standardized, accepted units of measure in a table that inventory, sales, purchasing, etc. modules pull from. Most systems allow you to lock that table so no one can modify this except for authorized personnel.
Tips on Creating Good Units of Measure
Spending time to create meaningful and accurate units of measure will serve your business well. It will make your software and reports more meaningful.
Naming your items in your business inventory system or point of sale (POS) system is more challenging than most realize. To complicate matters most business systems limit product names to 25 to 50 characters.
Below are some general guidelines to work with:
Let's use the following very short lists as examples:
Finding an item in either list is not difficult, but consider what happens if you're looking for a group of items? Usually you're going to need to view your items by their type and not by size, color, etc. Think about this: anything can be red, black, blue, fine, medium, etc. But a "pen" is a "pen". When you're asked to find a group of items you're probably not going to hear "Quick, get me all the fine stuff!". List B is must better to get groups of items because you can quickly locate all your pens. The list is in order by noun (i.e. pen) then by adjectives in descending order of importance (i.e. retractable, fine, red).
In the example lists we used pens only. Imagine if you had your product names formatted like those in List A and you're carrying 40,000+ office supply items. Reporting and searching would become an unmanageable nightmare.
If you're storing business data then the answer is an immediate "no". If you're an individual storing your grocery or gift list, then you can use a spreadsheet.
In a nutshell: A spreadsheet is for data analysis. A database is for data storage.
We frequently see customers using spreadsheets as their database to manage lists of permanent data like customers, products, vendors, pricing, projects, etc. In our 14+ years developing applications we have not come cross any circumstance that warrants storing permanent data in a spreadsheet.
First of all, what do we mean by permanent data? Permanent data is information that is core to a business in order to function. For example, a business gets and loses customers from time-to-time but it must have at least one customer. So customer data would be considered permanent.
So what is a better option for storing your business data?
Databases are designed to store large amounts of data. They collect, manipulate, filter, and report on this data. Read our Database Management section to learn more.
We see people confusing markup and margin when calculating a sell price. The terms markup and margin today are used interchangeably to mean gross margin but this is a misunderstanding and can have a big impact on your bottom line.
Let's define each term:
How to Calculate a Sell Price Using Markup Percentage
A markup percentage is an item's cost times a markup percentage plus the original item's cost. In a formula that is: Markup % = (Cost x Percentage) + Cost
If an item's cost is $100.00 and you want a 25% markup, the selling price would be $125.00. Using the formula it would read: ($100.00 x 0.25) + $100.00
Another way of performing this calculate is to take your desired markup percentage as a whole number and add a "1." in front of it. If you want a 25% markup then your number would become 1.25. Multiply your item's cost x 1.25 and you'll get the markup price. The formula would be: Cost x 1.25. If your item's cost is $100.00 the formula would be: $100.00 x 1.25 = $125.00.
How to Calculate a Sell Price Using Gross Margin Percentage
Gross margin is the difference between selling price and cost. This difference can be expressed as a percentage of selling price. In a formula it is: Gross Margin % = Cost / (1 - Percentage)
If an item's cost is $100.00 and you want a 25% gross margin, the selling price would be $133.33. Using the formula it would read: $100.00 / (1 - .25)
So What To Use: Markup vs Margin?
Using markup to set selling prices overstates the profitability percentage of the transaction. Calculating selling price in gross margin terms you can compare the profitability of the transaction to the economics of a financial statement. By targeting a gross margin percentage vs the markup percentage you can add an additional 2 to 3 percent profit to your bottom line.
Sales people often think in terms of markup percentage. CFO's, operations, accountants, and other financial professionals think in terms of margin percentage. Train your sales people to use gross margin percentage and your bottom line will be better off.
We’re often asked, “what exactly is your data transformation service?”. That’s simple. We take your raw data (i.e. product sales by month) and we transform that raw data into meaningful information that you can then use to make informed business decisions.
Let’s imagine that your business system allows you to dump your sales data into a spreadsheet. Depending on the volume of business you had in that month, it could be dozens to thousands of rows. Without good analytical tools it can be nearly impossible to gleam useful information from all that raw data.
What we do is we determine, based on your input, what information you need from that raw data. We then implement the appropriate analytical tools and deliver you the meaningful information. For repeat requests, we can automate this process so that when we receive your raw data it’s run through our transformer and immediately produces the output.
Examples of what you may want to see is:
In its simplest form, a data feed is mechanism for users to receive updated data from a data source. Many people are familiar with RSS news feeds which makes dissemination of blogs easy. Product data feeds are playing an increasingly important role in e-commerce, Internet marketing, back-end business systems, and catalog generation.
When utilized properly these data feeds can have a huge positive impact on your business. If you're selling a product and you're not receiving a data feed please ask for this from the manufacturer and/or wholesaler. If you need help implementing or processing the data feeds Lunar Developers can help you.
Product Data Feed
While every product data feed can be different, most contain the following information. This type of data feed is usually updated monthly or quarterly.
There are also numerous "flags" that may be included for each product:
Inventory Data Feed
If you're drop-shipping a product this file is a must-have. it will show how much of an item is in any given warehouse at a given point of time. This type of data feed is usually updated anywhere from every 1 hour to every 24 hours.
Pricing Data Feed
This is a very under-utilized data feed. Many industries have organizations who poll competitors' pricing records and consolidate them into a database that you can subscribe to.
If your business is selling office supplies, how great would it be to have a data feed that shows how much retail chains like Staples, OfficeMax, OfficeDepot, and others are selling the same products for? With a little tweaking your system (e-Commerce, back-end business) could automatically query this information and perform a calculation that lowers your selling price by a percentage to insure you're always the lowest priced seller. This type of data feed is usually updated anywhere from every 1 hour to every 24 hours.
Data Feed Formats
There are a variety of different data feed formats utilized. The most common are the following and Lunar Developers can help you with each of these.
designers, developers, attorneys, accountants, consultants, non-profits, universities, PR firms, grocery stores, retailers, funeral homes, manufacturers, distributors, and wholesalers.