How to use unique phone numbers to improve customer experience and boost website conversion

I've been meaning to write about the power of unique phone numbers in optimising user experience and campaign conversion for a while now and the below research published on Reuters has finally provided me with the right ammunition!

According to the report, Americans (and Australians too I'm sure) are fed up with bad customer service, with 67 percent (that's 2 out of every 3 callers) hanging up on a call before their problems are even addressed. The most annoying gripe is not being able to get a person on the phone, followed by rude sales people.

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While rude sales people are harder to fix (try firing a few as a start), getting the right person on the phone should not be so difficult and companies could make that process a lot easier using more unique phone numbers, especially online and on direct mail. Apart from providing more granular campaign response data, marketers should use unique phone numbers to help control the customer experience! Think about the following examples.

Unique phone numbers by product category: Prospects browsing a particular product category should be shown a phone number unique to that category enabling calls to be routed directly to the right call center team that specialises in that particular category. This approach should cut down phone steps, improve overall call experience and thus also increase conversion. Equally, website visitors identified as existing customers should get a priority number, after all they're already a customer and should be treated as such.

Unique phone numbers by purchase lifecycle stage: Similarly to the above, if a website visitor has already started converting (i.e. started checking out, filling in a lead form, etc), are you just going to show him the standrad website phone numbers? I hope not! If by their actions, website visitors are showing some serious purchase intent I would strongly suggest you display them a special unique number that ensures their call is answered as a priority, after all they're most likely to convert.

Finally, you're comments are always welcome, but I don't want to see any comments on your 1300 number being part of your brand or phone numbers are being too expensive. Maybe Pizza Hut can claim that for its best customers that call every day but the rest of us just doesn't care enough about your company to remember your 1300 number. Also, the true cost comes from the amount of phone calls not the number of unique numbers and pales next to the potential revenue increase from more sales and happier customers anyway. 

Read on to find out how many numbers you might need and visit our partner Jet Interactive to set-up some additional unique numbers online including detailed data on call performance and origin.

1 unique phone number 
+ Phone number is considered part of the brand
+ Media origin of calls cannot be established
+ Added value of website interaction unknown

2-10 unique phone numbers
+ Different numbers for different media channels
+ Exclusive number(s) reserved for website use
+ Call origin data more granular but not perfect
+ Difficult to rotate and pause numbers

10+ unique phone numbers
+ Different numbers for different media channels
+ Different numbers for different product categories
+ Different numbers for different conversion steps
+ Call origin becoming useful to shape call script
+ Feasible to pause numbers to improve integrity

100+ unique phone numbers
+ Different numbers for different website visitors
+ Call origin and time stamp enable individual match
+ Call conversions matched back to search terms

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Tableau Public data visualisation and interactive dashboard on German politician's phone call data

The German newspaper Die Zeit and the EFF recently wrote about the German politician Malte Spitz from the Greens who procured and then published all the data that a local telco had been collecting on him by default over months.

Apart from being a little scary privacy wise I thought this was just plain cool data and perfect to do a little data visualisation in Tableau with. Check out the below screen shot of the dashboard or play with the interactive Tableau public workbook on Malte Spitz's call habits yourself.

Granted, this looks like a massive violation of privacy but let's take a breath and think for a second before we jump to conclusions. It wasn't the telco who maliciously released the data but the politician who requested and then published it on a newspaper so I fail to see the threat to be honest.

Of course companies are collecting data on our product usage and if you look at the data for a second from a telco's point of view and assume it's not just one person's data, then it becomes clear that the data contains quite a lot of information that could be used to either improve service quality in certain geographic regions or offer extended support hours for some services for example.

On the other hand, there are companies that are just collecting data for the sake of collecting data without a clear plan of how they're going to use it to improve their products and services - in my eyes that's the true issue here and much more of a problem than the collection of potentially sensible data in general.

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Jet Interactive and Datalicious importing call data into Google Analytics for 360 campaign performance

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Jet Interactive and Datalicious are excited to officially announce a new integration that makes call data available in Google Analytics.

Marketers are now able to get a full 360 degree view of their campaign performance across online and offline responses from one location using the familiar Google Analytics interface (see screen shot below). 

Similar to allocating unique click-through URLs for campaign tracking online, companies should allocate unique phone numbers as calls to action to specific media channels if they're not doing so already. However, instead of manual Excel reports marketers can now use Google Analytics to monitor online and offline campaign responses in almost real-time.

Visit the Jet Interactive website for more information or email us at insights@datalicious.com if you would like to find out how to enable this integration for your Google Analytics account or another other web analytics platform such as Omniture.

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Tying offline sales from retail stores and call centers back to the online campaigns driving them

Have you ever wondered how many of the offline sales that happen in your retail chain or call centers are actually driven by online campaigns and research activity on your website? Would you like to know the true value that your online media spend is driving including offline conversions?

The graph below shows how companies could use email receipts sent out to customers after conversion events across all channels to tie at least a small sample of offline conversions back to online campaign and research behavior. By sending out email receipts and providing incentives for customers to open and click on the emails it would be possible to trigger virtual online order confirmation pages similar to the standard online confirmation pages. 

The standard cookie based campaign tracking mechanisms of any web analytics package such as Omniture and Google Analytics can then take over and do their normal job and help tie the virtual sales events back to visitors and campaigns.

Email us at insights@datalicious.com if you would like to find out more or need some help implementing the below for your company.

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Part 2 - Call Center tracking using Omniture Site Catalyst

If you haven't read part 1, you should probably start there! http://blog.datalicious.com/call-center-tracking-using-omniture-site-cata

Where to begin setting this up? As with all analytics and tracking, there are many ways to approach the problem, but below is our preferred solution as it fits so easily with the existing online architecture. If call centre staff are indeed able to use a modified version of the online store, the steps below will slash wasted time, improve call to sale conversion as well as bring your phone and online tracking together into a single reporting view.

Step 1 - The basic link
Configure your call center software such that an answered phone call will trigger the opening of a URL. To avoid opening lots of new windows, you should give the window a name, if the name is the same, each call will trigger in the same window.

Step 2 - Where the magic happens
Call center software has access to lots of information, the number dialed, the callers number, who answered the call, the time the user has waited in the queue, any menu selections, the calls unique ID, etc. There is no limit to what is available. You need to look at all the information and decide what is relevant (both for tracking and sales optimisation). Once you've decided what is relevant, you need to pass this information in the URL triggered when a call is answered. Example below:

http://callcentre.example.com/redirect.php?cc=yes&caller=5551231234&dialed=1800123123&id=1234567890&queue=350&agent=samsmith

Step 3 - Now what?
So you've completed the most important step, you've passed all the key information seamlessly between two previously independent systems. Now it's time to use it. The redirect.php is a script written to deal with the information passed. This is not only for capture in Site Catalyst, but also for directing the Agent straight to the right product or content to save time. This happens effectively instantaneously.

Examples:
- Take the sales agent straight to the product page associated with the number dialed.
- Apply appropriate discounts based on known customer information
- Populate fields with customer information to save time

Step 4 - What about the tracking?
The redirect script will send the agent to the appropriate page with all the appropriate site catalyst data as URL parameters. You can then use the getQueryParam plugin to extract these parameters and direct them into the correct Site Catalyst variables.

Typically an Agent will sit on their computer all day, that's no good as the one session will stay alive. To start a new one in Omniture for each call, set the visitor ID to be equal to the unique ID of the call. This will ensure each call appears as a visit in your reports. Usually you would put this ID into an eVar as well, so you can use classifications to import additional data later.

To differentiate call centre traffic to the online traffic, set an eVar and persist it (you must have the get and persist plugin installed), this will allow you to break out call centre traffic with a vista rule later if required. All your Agents traffic will be marked.

Some information you'll want in eVars: Typically i would put the Agents name, the number dialed and any customer ID as a first start. Products, Events on the modified call center interface should follow the logic of online where possible, so they can be easily compared, ie checkout, order, registration, etc.

Before you know it, you'll have some very rich information on your call center. This is only the beginning though, some more advanced segmentation and targeting techniques will be discussed in part 3, along with data imports to close the information loop.

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