Using Twitter well?

I came across this post just now on Mashable: http://mashable.com/2011/06/09/brands-twitter-success/

In it, Dave Kerpen – the CEO of Likeable – highlights 9 US based companies that use Twitter really well and I have to agree with his observations.

He points out that tweets need to stand out and have a personality behind them.

JetBlue has 14 people tweeting on their official twitter account and use it as a customer service channel – answering questions, apologising for poor service or delays, sharing special deals and more. They have over 1.6m followers so this is no mean feat.

Vevo engages with both their own followers and followers of the musicians that they feature, often generating debate. By engaging with followers of other tweeters, you can really start to increase your followers and increase your brand awareness.

I believe that Twitter should be used in this way. Not simply as an RSS reader where web sites auto post their articles, but to probe, ask questions, get involved.

Twitter offers real-time one to one to many conversations and can have such a huge impact on a brand’s presence online. Those that get involved and use it to communicate will reap the rewards.

Facebook Registration – Breaking down the registration barriers

Recently Facebook announced a new social plugin called Registration. Registration allows web sites to integrate a sign up form via an iframe or fbml that is hosted by Facebook.

I am working on a project that requires registration and we have decided to try this out so a lot of what you see in this post is first-hand experience of how it works.

This form can be customised to include bespoke fields that you may want to collect. By default it does not ask for a password for example, but that is easily added. Similarly, if you wanted to add in check boxes, free text boxes, options etc they are all simple additions.

Check out the Custom Fields example on the Facebook Registration page. When a user arrives at the registration form and are logged into Facebook, any compatible fields are pre-filled in therefore reducing the need to fill out copious amounts of data about themselves. This will help to reduce the barrier to entry for many users who are often put off by registration forms.

If a user doesn’t want to pre-populate the form with their Facebook data, they can remove this from the form by clicking on the [x] next to their name and photo on the form.

So what happens to the user’s data?

If a user is logged into Facebook and is filling out the form, any extra data that is compatible with Facebook is added to their Facebook profile. In the Custom Fields example on the Facebook Registration page, if you click on the text box for Current Location, a pre-ticked check box appears which says ‘Save this to my Facebook Profile’.

As a site owner, you can disable this for any custom fields that you add to the form by adding in the no-submit function to the integration.

If a user does not have a Facebook account, they are not automatically signed up.

Submitting the form

When a user submits the form, you can do some form validation before Facebook processed the form and returns the user data to you as json – a lightweight text-based open standard designed for human-readable data interchange (Wikipedia). The registration plugin can also do this over SSL which we would recommend as best practice for security reasons.

There are some issues currently with the validation – namely that if a form fails validation it can sometimes not run the validation a second time. I’m sure that there are ways around this – by doing your checks server side – which we are still investigating.

Once you have the data returned to you as json, the website needs to process that data and store it.

Key feature

You may think that the pre-filling of personal data would be the killer app for this product. Whilst it is a pretty important feature, my personal favourite feature is it shows any of your friends that have already registered on the site – giving users social proof that the site is worth registering for and that they are not doing this blindly. Giving further incentive to users to register.

The end?

Nope! Once you have the data stored in your database the web site still needs to handle things like logging in, profile pages,editing of profiles, forgot passwords etc.

Final thoughts

The Facebook Registration plugin is definitely a step in the right direction for Facebook. For them, it allows further integration of their platform into external websites as well as gathering further incremental information about their users.

For the websites, it takes out a big chunk of development that would be required to create a new registration system. It also reduces barriers to entry by having the form pre-filled in most cases so therefore converting non-registered users to registered users should be easier.

It will be interesting to see where Facebook goes with this. Whether they will extend the Facebook Connect product to help with editing locally stored profile information and profile pages.

I do think that this is one of the bets plugins that Facebook has released and its still early days.

I’ll post updates as and when I have them.

Social CRM – an introduction

One thing that I have started to become obsessed about is Social CRM.  Social CRM is essentially CRM but social! I know that sounds obvious and is not that insightful but if you think about it, it makes a lot of sense.

Customer Relationship Management has traditionally been a one way conversation – from the business to the customer. When a customer triggers a certain action, an email, text message or letter gets sent with a call to action to try to get the user to do something that data from a profiling system thinks that they would be likely to do.

Social CRM, at least my understanding of this, takes place in social networks and is comprises of two way communication – generally one to one or in the case of Facebook pages one to those who have liked your page.

This could be an automated thing, a manual thing or a mixture of the two.

I will let you in on a few top level thoughts that I have floating around in my head that I will delve in to more detail on in future posts.

The Like button

You will have seen from one of my previous posts, Closing the Viral Loop, that by giving the user a reason to click the like button would increase the number of likes a piece of content may have.

Conversion

By focusing on what users are doing and what they are saying or liking on your site, you can start to tailor messages to them. If a user likes Kings of Leon on a music site, tell them when tickets go on sale or if you have a special offer on a t-shirt or poster.

Feedback

Using Social media to ask users for feedback on new features or to test new pieces of functionality can really help you to get quick feedback – both good and bad – and can respond quickly to new suggestions.

Super users

I believe that one of the biggest things that can make a difference online is finding those users that will go the extra mile for you. Take my previous post about the Marmite XO campaign run by We Are Social where they used Social Media to find the biggest fans of Marmite to spread the word on a new product that they wanted to launch.

As I mentioned earlier, these are loose ideas that I have running through my head and I needed to get them down on a post. If you have any ideas of your own or what to discuss any thing then please do leave a comment below.

I will be delving deeper into these concepts and exploring them to see what we can achieve using social media to drive the monetisation of users online.

Driving engagement and sales using social media

Please note that these are notes from a seminar. Actual post to follow In the future.

Robin Grant – We are social

Unilever – Marmite XO – Social Media only launch of a product

They went out a found crazy Marmite lovers and designed an experience that would cater for these super fans

Rewarded for advocacy of the brand

Invited 40 of these super fans to an event and entered into the Marmerati. Marmerati = fake club with fake history of Marmite lovers

They then spread the word on blogs, twitter and facebook.

Then revealed a website. Asked those 40 people to recruit more people. Drive users to web site and used Facebook connect to log users in

Prize incentives of special jar of Marmite.

Once second wave was finished, they could vote on specific jarvthat would be used.

Those 200 second wave started to put more content up.

This cost a quarter of a normal product launch and they still got good product space

Tesco example – Clothing

Raise awareness of clothing at Tesco amongst fashion and money savvy audience

About the ecommerce site

Started a blog to be brand voice. Showed off the clothes. Found other bloggers to guest blog. They then had a long list of bloggers that wanted to post.

Created Tesco FB page and twitter account.

Used feedback from FB to get crowdsourcing information on what to focus on.

They then ran a series of micro campaigns.

Ran simple competition based on retweets. 400 new followers, 1333 retweets.

Key fashion bloggers invited to an event to preview new ranges. Reacted well to the event. 17 blog posts and high engagement on those posts.

Allowed bloggers to host competitions themselves.

FB page strategy was to grow the fan base through large campaign. All fans would get 50% off for an hour on a random day. Ended up with 40k friends in one day.

Generated over £1.1m in sales over period of the campaign.

Closing the Viral Loop – Beyond the Facebook Like Button

Most web pages that you visit nowadays contain a version of the Facebook Like Button.

Most web site owners assume that users know exactly what the like button is for, but what is it for? What exactly can be done with it?

In its most basic form, when a user likes a piece of content it appears on their Facebook Wall for all of their friends to see.

I suppose that the hope of web site owners is that the user’s friends will see this and then send users back to this piece of content. This concept is known as ‘Social Proof’ – where you are more likely to do something if one of your friends deems it ok to do so.

See http://en.wikipedia.org/wiki/Social_proof for more information on this.

So I can see why those who like to show off what they like to their friends would want to do this, but what about those users who are more passive in their consumption of media.

There is a rule that states that, with social media, 90% of passively consume media, 9% interact with content and 1% create the content. If we use YouTube as an example, that means that 90% of users watch videos, 9% comment on those videos and 1% actually upload the content.

If this is the case for the like button, only 9% or 10% of users actually use the like button. How do we engage with that 90% of passive internet users?

My suggestion would be looking to close the viral loop.

Closing the Viral Loop

I believe that users would be more likely to click the Facebook Like button if they knew what was going to happen and that they were going to get something in return from it.

Web site owners are asking users to be active on their pages, to help promote that content to users without asking for anything in return. This is a very lazy way to try to grow traffic.

What steps could be used to make the clicking of the Like button more attractive to users?

Firstly, box out the like button and tell them what it will do. ‘Do you like this story? if so, click the like button.’

If users are liking your site versus a piece of content and if they click like, they will receive updates straight to their Facebook news feed – tell them!  This would appeal to their passive consumption.

‘By clicking the like button, you will receive content updates to your Facebook wall so you don’t need to keep checking back on our site.’

The Open Graph – closing the viral loop

This is where the most interesting bit comes into play.

If a site has been more sophisticated with their integration and also integrated the Open Graph at the article level, users could actually be liking a product, an actor, a musician etc.

If this is the case, then I believe that closing the viral loop becomes extremely important.

If a user is on a music news web site, such as www.nme.com, and they are on the Black Eyed Peas artist page – http://www.nme.com/artists/the-black-eyed-peas – and they click like, they should receive updates from NME every time that there is new content posted up about the Black Eyed Peas.

At the moment, there is no incentive to Like the Black Eyed Peas – not unless the user is just that passionate about the band.

There is also no call to action. Just a plain old tiny Like button.

If the like button had a call to action and had its content feed for Black Eyed Peas set up correctly, it would be much more appealing for users to click.

‘Click like to get updates from NME every time we post new content on the Black Eyed Peas’

This would be the same on all sites across the Internet and I would argue that this would result in many more users engaging with the Like button.

What is Cohort Analytics?

Cohort Analytics in this context is the measurement of how often a user returns to a website over a given period of time.  By understanding how well you retain your users, the better you will understand how best to monetise them – which is what we are all chasing in digital publishing.

This is not the same as the standard vanity stats that you may find in Google Analytics or Adobe’s SiteCatalyst for return visits or visitor retention, this will give you a more detailed understanding.

Also, if done correctly, you can use cohort analysis to measure not only general users to your website but also registered users, logged in users, users that purchase or convert to something.

Cohort analytics is quite a new concept for digital publishing.  In the past, CPMs have been high enough for publishers to only have to worry about unique users, visits and pages. But now, with the advent of Google Adsense and Facebook Ads, advertisers can now target audiences, so now publishers need to focus on other ways to measure and monetise audiences.

How to measure retention

Cohort Analytics is not something that is available out of the box with most standard web analytics tools.  Unfortunately it takes a bit of hacking to get it to work with Google Analytics – even then, it is quite limited as you can only measure over five units of time.  This will all become apparent shortly.

In addition, this explanation will only give you a basic overview for general tracking.

Google Analytics allows you to configure custom variables – of which there are five – and these segments can be persistent over a number of visits.

See Google’s documentation on custom variables here.

Custom variables should be set per time period that you would wish to track.  In this instance it would track user retention over a rolling 5 month period.

Here is some example code for month one using the first of five custom variables:

*** CODE ***

pageTracker._setCustomVar(
      1,                   // This custom var is set to slot #1 for the first month. 
      "Month",           // The top-level name for your online content categories.  Required parameter.
      "January 2011",      // Sets the value of "January 2011" to "Month" for this particular aricle.  Required parameter.
      1                    // Sets the scope to visitor level.   
 );
 pageTracker._trackPageview();

*** END CODE ***

Once this code is in your site, it will need to change each month. The two paramters that will need to change are the first and third variables where each will increment when month 2 begins.

*** CODE ***

pageTracker._setCustomVar(
      2,                   // This custom var is set to slot #2 for the second month. 
      "Month",           // The top-level name for your online content categories.  Required parameter.
      "February 2011",      // Sets the value of "February 2011" to "Month" for this particular month.  Required parameter.
      1                    // Sets the scope to visitor level.   
 );
pageTracker._trackPageview();

*** END CODE ***

Once this has been implemented correctly and has gathered the relevant correct data, you will see some hopefully nice results. In addition, if you are clever with your naming and strategy you will be able to measure much more than this.

The results

Cohort Analysis

Hopefully you will see something like the image above after a period of time.  What the above table shows is how many of the users return in the following months from their first visit.

The reason for the Month 1 statistics all being 100% is that all users in Month 1 are new. In Month 2 it shows how many users from Month 1 returned in Month 2. Month 3 highlights how many users returned to the site in Month 3.

By fully understanding how long your users keep coming back to your site, you can really start to focus on some new metrics.

You will be able to work out the Lifetime Value (LTV) of your users which would help you to work out how much you may want to spend on marketing. By understanding this, you can ensure that your marketing stays profitable.

You can also start to focus your development attention on lengthening the lifetime value of your users.