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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ADMA presentation to Macquarie Bank on effective campaign measurement and media attribution

How effective is your campaign measurement? Are you just reporting numbers or are you actually generating actionable insights that support cross-channel media optimisation and enable performance benchmarking and knowledge transfer across campaigns?

Have a look at our recent ADMA organised presentation below to Macquarie Bank on effective campaign measurement, it covers a lot of stuff from developing standardised metrics framework over current technology limitations to multi-channel media attribution. 

There are a lot of visuals and not much text so if you would like us to present to your team as well just give us a call on 1300 209 601 and ask for Chris.

Click here to download:
201102 ADMA Macquarie Measurement V1.pdf (7.01 MB)
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LinkedIn adds analytics on traffic, followers and visitor profiles to its company profile service

LinkedIn launched its company profile pages a while ago but it seems they also recently added page statistics to the service.

As you can see from the below Datalicious LinkedIn page stats, you can get fairly standard reports on overall traffic to your site and its sub sections as well as number of followers but also a breakdown of your page visitors by industries, job functions and company name which I find most interesting of all.

And by now you've probably noticed that our follower numbers are well behind the industry avery so help us out here and follow us on LinkedIn guys!

Datalicious Pty Ltd on LinkedIn

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ADMA Digital Certificate guest lecture slides on analytics and how to generate insights from data

Adma
Below are the slides on tracking and analytics from our guest lecture at the ADMA Digital Certificate last night including links to useful tools online. Thanks again for listening to all who attended, here are again the key points.

Key steps to developing insights
  • Standardise metrics to enable benchmarking and performance comparison over time.
  • Think laterally, free online data from Google and Facebook can be used in many ways.
  • Media cannot be judged based on final conversions alone (i.e. statistical significance).
  • Data and insights have to come from one central analytics platform to avoid duplication.
  • Last click media attribution is inaccurate and can lead to misallocation of media budgets.
  • Maintain a simple calendar of events to help provide context around data trends.
If you would like to know more about some of the topics covered last night you should also check out our ADMA short course Analyse to Optimise. The Sydney session has already happened but the Melbourne course still has some spots available.

Click here to download:
201010 Datalicious ADMA Digital Certificate V1.pdf (2.22 MB)
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Stop misallocating media budgets using multi-channel media attribution with Google Analytics

Update: Video on new Google Analytics multi-channel funnel reports

Thanks to Google we're all used to measuring campaigns on a 'last click gets all the credit' basis (or occasionally first click). That is, all conversions (i.e. sales, leads, form completions, etc) are tied back to the last (or first) media channel that a person responded to respectively clicked on before converting.

Unfortunately, this method ignores all other touch points that a consumer might have responded to leading up to a conversion which also contributed to some extend, resulting in the undervaluation of certain media channels and ultimately the misallocation of marketing budgets (i.e. some channels are more likely to introduce a product rather than closing the deal and these miss out using last click attribution, see graph at the bottom comparing first and last click attribution).

Google is trying to address this through their new AdWords Search Funnel feature, however the Google reports do not include any organic channels or direct to site visits which do play a significant role in a consumer's path to purchase. In fact, organic search terms that include brand keywords and direct to site visits stimulated by some other form of media (i.e. TV, radio, print, etc) account for the majority of conversions on most websites (so we think they should be included).

To solve this issue for one of our clients, NDS (Carecareers), we used some custom JavaScript to record a stack (or path to purchase) of all campaign touch points across paid and organic channels in one of the Google Analytics custom segmentation variables (see chart below for a sample of the raw data). For simplicity sake we only recorded top level channel (i.e. SEO, SEM, direct, etc) in this case but this could be as granular as you want (i.e down to ad groups or even search terms).

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The data on its own however is not very useful, you just end up with a long list of unique channel combinations (the above is only showing the tip of the iceberg) so we had to export the raw data from Google Analytics and analyise it using the Tableau business intelligence software. To make sense of the data and accommodate the various different purchase path combinations we decided to follow the ClearSaleing model and classify all touch points as either introducer, influencer or closer (see graph below and at the very bottom).

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Looking at the simplified example above we realized that paid search responses play an important role both as introducers and as closers, but not so much as influencers (we're thinking that unbranded terms make up most of the introducers and branded terms most of the closers but we don't have the data yet). Conversely, the importance of organic search, direct to site visits and emails (activity just started) might have been understated in the standard last click based reports up until now as they are more likely to act as influencing channels (SEO might pay off after all).

Given the above results and relatively simple data collection and analysis method we think there's really no excuse for marketers anymore to keep relying on last click media attribution so please drop us a line at insights@datalicious.com if you would like to find out more.

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