Erm, what do you mean it's wrong?

It's frustrating, isn't it. You have just spent the last 12months planning for the launch of a swanky new web site, invested tons of time and money in ensuring the insight datapoints are tagged up correctly, selected/chosen and signed with new affiliate partners to help promote your new swanky site and a whole bunch more and then suddenly it all comes crashing down; you've noticed something is wrong... the account ID being used in the page is for the development platform - bummer!

That means ALL your visitor behaviour insight is going to go into a black hole where no one other than you has access which now means you will be spending roughly 30mins a day, extracting those reports and placing them into an Excel sheet to distribute manually, distracting you for doing your day job.
OK, but that's not too bad - we've all had to do that before, and it's only for 4-6weeks...! BUT, what about next month, when the powers-above have brought onboard this hot new tech company that is going to drive our traffic and more importantly, our sales through the roof! More tags. More time. Being lost = More Pain!

privacy widget goes in here...

What to do - your budget has been halved, there are code freezes coming up due to the Christmas rush and the ink hasn't even dried yet on the contract your Director just signed. Heart rate, blood pressure, stress - all increasing. Job on the line? Doubtful, but your patience? Likely being tested!

Well, this is the first giveaway sign that a company such as this one needs a platform which can be remotely controlled outside of the company when it comes to placing/replacing technology vendor tags on the web site. Do you need one? Well, consider the options. How many times has the scenario above presented itself to you and/or your company? I would guess it happens monthly, maybe even weekly (dare I say daily)? How often do changes to the web site take to get started, let alone completed; weeks, months (never?)? And how much does that translate into lost insight/missed opportunity? I would guess the financial pain is a figure that already has five 0's in it already... and growing!

The good news is such technology to help ease the pain exists today and the shortlist is somewhat 'short'. With the ever increasing burdens being placed on visibility, availability and actionability, today, companies need to be so much more dynamic in the electronic media world and this is where tag management platforms can help.
Such platforms are yielding massive ROI's for their customers, making companies like yours innovative/dynamic and helping to make the lives of analysts 'easier'. You are no longer hired as an Analyst who needs to also know JS/HTML inside and out because it is you making the site change recommendations and developers are leaning on you. Once you start using a Tag Management System (TMS), you will notice you start to do on a daily basis what you were initially hired to do, Analyse and spot trends/make recommendations; you will also get more of a life, drink less wine, smoke less and generally lead a happier life.
Maybe it is time you considered a TMS for your company, after all. If you are still reading this rather lengthy blog post, the chances are you are someone who is suffering and can relate to all my points above. Need I say anymore?

End of message.

The era of cold calling, is over!

Does rejection excite you? Nah, me neither but in many cases it is just 'part of the job' and more often than not it is delegated to the junior in the team!
Sometimes you get lucky, perhaps 1 in 5 companies you 'carpet bomb' get you a meeting? But even then, you have to invest a lot of 'manual labour' to research your new prospect, what are they doing (what aren't they doing??), any recent wins/losses, expansion/growth opportunities and plenty more. And to make matters 'worse', all that effort and time doesn't include activity on the social networks such as Twitter, Facebook, LinkedIn among others.

So, a quick math calculation puts all this effort to approximately 1-2 hours per prospect. A successful sales person will need at least x20 that number to ensure they hit their number - so, how can you separate the 'Wheat from the Chaff'?
It's easy - you need a managed, cloud based (no hardware or people skills to source then!), internet and social media analysis platform that is 'always-on', an always 'in your pocket' news service that alerts you every time a company and keyword are matched BUT (and here is the magic) *with ranking heuristics, natural language and text mining service* which supplies the relevant contextual insights required specifically for you. In short, it will change the way you do business and will make you hugely successful and more productive - the era of cold calling is, finally over!

Such a service exists today - it won't hurt you to check out www.artesiansolutions.com to find out more!

Individual insight - now more important than ever!

It seems 2012 is the year for digital Individual Insight. Everyone is asking for it, but why should you consider it? That, is what I hope to clear up in this post today.

First of all, what is 'Individual' and what does it mean to me and my business?

Individual is exactly that, a single instance of a person and anything/everything that person says or does.

Why should I care about knowing what an individual says or does?

Knowing someone has been on the web site, failed to complete a process and then left means your business is failing to convince an individual to do something online (that translates into lost opportunity)! When that individual calls into the call centre and completes their transaction offline, understanding why and what the outcome was will help you better tailor your efforts in channels they are less effective.

Take a scenario, someone has just been on Facebook and told their 100+ friends how bad a particular service your company offers, is. Think about the potential impact that might bring to your business - those 100+ friends also have 100+ friends each, taking the total level of exposure of something good or bad to well in excess of 10,000 people! If one in those 10,000 people were about to buy from the same company (or maybe the same product or service), but now don't due to a 'Friends' update, think about the impact that now brings to your business - now consider what if 10 or 100 of those 10,000 people were about to buy from you?

So, knowing the 'individual' activity is highly important, and that is only in the Social world - have you considered your own web site? Imagine the opportunity that awaits you in your own online shop; you know what every individual does that comes to your web site; you know what products they always look at but never buy; you know they like discount items - so next time you run your Sales email marketing campaign, send them a personalised and relevant email.

It may all seem like a no-brainer - after all, why wouldn't you want to get to the level of the 'individual' activity?! They have the ability to give you so much input into what is and isn't working for your business. The reality is no one has really considered or thought about this level of detail, mainly due to not realising such technology actually exists to help them achieve it.

Well, it does exist and I urge any organisation that wants to better target individuals

What can I expect to achieve if I adopt a platform that gives me 'individual' insight?

That promotion you have always wanted? It could happen, if you help shift the mindset of a business to think more laterally. Individual insight will help your business go from good to great, how can it not? Individual insight is now about aggregated views of data; individual insight gives a business the power to know, the power to change, the power to deliver - look at the success Unica and Bluesheep have had over the years, mostly derived from non-online individual insight. Imagine the value your business would get if it were possible to replicate the level of detail known about an individual from the online world in the same way the offline technologies have done so in previous years?

Still not convinced? Individual insight has demonstrated to businesses how they can save £250,000 per annum in adword campaigns, without impacting sales.

It has demonstrated uplift in excess of £1M in incremental revenue every time a Sale email marketing campaign is sent.

It has helped save in excess of £1M in online fraudulent transactions taking place on a web site with multiple credit cards, or shipping to known fraudulent hot-spots, OR individuals getting insurance quotes who chop and change their personal and historical circumstances to achieve a better price...

Individual insight just works! It can bring huge benefits to any organisation, you just have to try it for yourself to appreciate the value it brings.

What happens when you get Individual Insight right?

I've been preaching, for what feels like FOREVER, about Individual Insight and the benefits it brings to any business. The art of perfecting the offline message based around online behaviours, or perhaps the other way around - knowing what you have done offline and how we should attribute that activity or sentiment to the online world.

Well, I decided it was time to share with everyone some insight I have gathered over the years from customers who have deployed such Individual Insight platforms and the benefits it has brought to their organisation. I should also point out that no one has not benefited from such a platform - all have seen an uplift in online activity, some more than others but all have paid back to the business within eighteen months of being deployed (in fact some have paid back well within year one; try getting that payback with any other technology!).

So, here we go. My Top Five are as follows:


10 x increase in revenue per email  (up to 500 x increase for high value items)
Customers who have previously been browsing high value items on the web site, were targeted with personalised emails during a 'SALE' campaign. The association of high value items, such as Bluray players/LED tv's/iPod's, which were relevant to the individual, saw the average return per email increase from $0.30 to $3 overnight.

$1.0m p.a. incremental revenue from hot online leads passed into the call centre
Where a prospect failed to complete car insurance online and also failed to call in to the call centre within 2 days after the failed online conversion, contact/product details were passed to a dedicated call centre whereby follow-up calls were made by insurance representatives. This resulted in 1/3 of every call being converted into a new customer - previously, that 1 in 3 was a lost online opportunity.

240% improvement in click-to-buy ratio
All products 'touched' by each online individual visitor are distributed to each individually subscribed 'customer' on a weekly basis. This has resulted in a 240% increase in click-to-buy ratio for one particular customer.

3% reduction in # catalogues shipped ($4m saving)
By simply being able to identify which home shoppers were receiving a catalogue but never quoting a catalogue reference number whilst online as well as never calling into the call centre, the decision to stop sending catalogues to identified residential dwellings resulted in a significant saving in shipping and printing costs - without affecting the bottom line!

$1.2m p.a. saving due to online fraud detection
By identifying behaviours that were 'not-typical', such as entering 6 different credit card numbers incorrectly within a few minutes or by flagging up high risk addresses which where known fraudulent activity hot-spots, customers using Celebrus have benefitted from being able to identify fraudulent online activity taking place, in realtime, online. Now, they are stopping shipments at the tailgate, saving on the associated expense and improving customer satisfaction/loyalty.

There are more, there's always something new you learn every day in the world of Individual Insight and I would be happy to share these with anyone who's interested - just comment in the box below with your contact details and I will send out updates as and when I have them to hand.

Online Individual Insight - Is It Really A New 'Big Brother' Practise?

Standing on the Celebrus Technologies booth at ExactTarget Connections UK 2011 yesterday, I had a couple of references made to me that got me thinking "That's a bit Big Brother like to me...". That may be true in the online space, but you telling me most of us who drive a car, use a debit/credit card, travel on the train, walk into a high street shop, are naive enough to think that you're not being 'tracked' by an even bigger brother?

Every road near the office has a road 'traffic' camera on it - but are we sure it's only traffic they're monitoring? Are we sure they don't take down your registration number and count the number of times a day you use that road?
What about when you walk into a shop - what are they doing with the camera footage they have taken of you?
What about every transaction made on your credit/debit card? How much YOU spent, where YOU spent YOUR money, WHO you paid it to and so on.
What about the London Underground - what station did you enter, which station did you leave - what was your route?

You see, BIG BROTHER is everywhere - isn't it therefore only 'normal' that some online monitoring is also taking place? Perhaps more to the point, if I really can make your experience better (online or offline - and I really do mean, make it better!!), then is a platform that performs detailed observations a bad thing? After all, if the platform is genuine and not malicious in any way, you can always 'Opt-out' by the click of a mouse button...

Either way, the choice is yours. Personally, I encourage it.

Is Customer Intelligence Delivering Results?

I have just read a very interesting blog posting by George Hollister, (someone who I value, listen to and enjoy following on Twitter) where a recent study, "CI Teams: Blocking and Tackling is Not Enough" carried out by Forrester suggested businesses were failing to get valuable insight from the Customer Insight (CI) team as they were focusing on Data Integration rather than gleaning insights from the platform. It is a message I heard all the time in my Web Analytics days...

The blog (and study) goes on to suggest Web Analytics is a platform being used to glean such insights, and to me at least, there in lies the problem! Web Analytics platforms are not CI focused, typically run as a SaaS model and are therefore a) costly to export, b) time consuming to extract data into a EDW whereby analysts can really use it, c) it is aggregated!


The blog (and Forrester study) goes on to suggest the problem does not lie with the CI team themselves, or Data Integration but in fact an it is an Organisational Integration problem. Yet again, disparate data silos is the problem! Data that is needed in one silo is 'unavailable', causing delays in being able to glean insight, making it difficult for the marketing analytics or CI team (who are usually located in another business unit, building, city, country...) to include the data, resulting in reduced insights from increasing efforts - all in all, producing far from eye watering results!

To fully empower the CI team, businesses need a platform that delivers insight in a contextualised manner and at a non-aggregated level into an EDW within seconds of the event occurring. Preferably with a platform that is tag-free too! (who needs or wants the pain, time delays and cost of identifying and deploying tags to then build charts and graphs from?). As I understand it, most Web Analytics platforms struggle to populate EDW's in less than 72 hours... Hardly 'realtime'...

I know customers who have done just this and with a CI team to hand have experienced significant benefits in doing so (have shifted them to be a leader in their game in online commerce).

Realtime delivers results; not just in promoting the right message at the right time to the right prospect, but also in getting valuable insights delivered to analysts in all business units, in all departments, in all office buildings and in all cities/countries to glean actionable and relevant insights from to achieve (and most often exceed) their primary (and often secondary) business goals in a very short space of time.

Can you bend technology too far?

I hear it all the time. I need this tool to deliver this, that tool to deliver that then a year or few later, they retire to the fact that the technology will never be capable of delivering on a 'false promise'. It didn't stop the vendor selling the software and happily taking Mr Customers money though, did it!

So, perhaps we are now living in an era where there really is no-one platform that is capable of providing a definitive business platform. After all, I'm sure (like me) you have worked on projects where horrendous amounts of time have been spent (as well as money!!) to deliver on 'false-promises'. Add up the amount of money spent, then work out the ROI on that spent cash! I bet its not as good as you were hoping for, huh?

I find myself speaking more and more to businesses that can and do provide a solution to address the modern day business pains, but it's not by using one business reporting platform. Businesses need to consider what it is they need/want to deliver and then work out what they need to deliver it.

For example (and speaking from an Analysts point of view), I might need full, rich data from every data silo, including the search platform, telephone/ivr platform, email platform, web platform, marketing attribution platform and more. In fact, the more data I have, the better an Analyst I can be and the better the insight I can provide! I need BigData then! Problem with 'BigData' is it can sometimes be too much!
So, I need a Business Intelligence platform that can handle BigData; one that is with me at all times, not just restricted to the desktop and one which is scale-able and quick to deploy (and one which won't hurt the budget!!).

So, which vendors make claims to be able to do all this today? I know a few and I also know a few end-users who have a lot to say about a vendors inability to deliver on the promise, now known to me as the 'false-promise'. And that's after a VERY EXTENSIVE tagging discussion, time consuming and detailed documentation and testing processes... I really believe businesses are tired of tagging everything they want insight on. There are alternatives, Atomic Labs with their PION platform or Celebrus Technologies spring to mind - both working very differently but neither requiring 'tags'.

Disparate data needs to come together, I appreciate that. If you think back a few years ago, this was a big problem with such badly fragmented data, however now platforms exist which can 'power customer data hubs' and I can speak from 15 years experience, that these platforms ARE delivering a step change within organisations, are winning awards and and delivering on the promise (with customers shouting about their successes - how many have done that before?!).

Perhaps now then businesses need to step back a bit and take a look at their infrastructure, where they want to be, how they plan to get there and the value to the business on getting there sooner. Cloud based storage is now cheap enough, fast enough, efficient and secure enough to become a possible hosting platform for most types of business, business platforms can feed into 'the cloud', tag-free platforms exist, cost effective BI exists, individual visitor level tracking exists, real-time communication exists... Need I go on?

What Do Your Reports Look Like?

Too many businesses buy an analytics tool because of it's the market presence and the eye-candy the reports bring.
Having previously been a data and web analyst for many years, data is typically always extracted and placed into everyone's ever so familiar, favorite reporting platform, MS Excel. So why use the charts and graphs provided by an aggregated data platform in the first place? I know many analysts and businesses who would agree with me and say they don't use them (possibly even the analyst(s) in your organisation right now).

It takes a brave person to make a purchasing decision based around the above two key mentioned areas. I can testify (by speaking from experience) just how many businesses adopt this 'strategy', having worked over many years with a lot of organisations across multiple business sectors, including financial services, travel, retail, utilities and telecommunications. Just because the few charts/graphs you have look good doesn't mean the data in the report(s) it provides to the business are with any insight which is actionable. The charts/graphs need to be interactive!

Most of us have MS Excel on our desktop machines. It doesn't take a semi experienced MS Excel user long to build a dashboard from scratch. The hardest job with any dashboard build is the collation and consistency of the data.

One of the most recent dashboards I have built in MS Excel can be seen below. This incorporates non-aggregated visitor data covering all marketing touchpoints (not just first and last click, but all clicks inbetween) which have been weighted to provide a true picture on what channels, promotions, activities, placements, offers, partners and so on actually are working to influence a prospect to engage and convert with a web site.

Additionally, if you have a Business Intelligence platform such as SAP Business Objects, Crystal Xcelsius, Microstrategy, Qlikview, SAS and so on, you can do even better things with the charts/graphs. All with interactive controls and functions, enabling you to get to the lowest level required (which in my case is often the visitor level - their phone number, email address, social security number and so on).

So in reality, if you wanted, your Business Intelligence dashboard could actually look like the screenshot below. Most Business Intelligence platforms today are appreciating Mobile BI is the future by empowering analysts to influence, make decisions and provide real-time insight whilst on the move. The example below is taken from the Microstrategy blog but it shows Mobile BI at its best and certainly provides much better 'eye-candy' than any other online analytics and optimization tool I have used before.

What I love best about interactive dashboards is the involvement of data from more than one channel (typically the web). In the above example, data is being collated in a Customer Data Hub (more about what defines a CDH later), but for a business to see how all channels are performing, volumes of calls, revenue attributed when compared with other channels, trends compared to last year and so on, this insight is like 'Gold Dust'. BUT, what makes this all the more appealing, is the ability to go down to Visitor/Customer/Prospect level and then actually do something with the data extracted; perhaps send a list of possible fraudulent applications to the anti-fraud team by email to investigate, or abandoned insurance purchases to the call center for a follow-up phone call. These are only a few of the actions very few businesses are actually doing today with their marketing insight platform, whilst others so desperately want to be able to do the same.

Without any shadow of a doubt, aggregated data and the charts and graphs associated with them, have limited shelf life. Yes, they are good for spotting trends and identifying upcoming demands, but they are not good enough to give businesses today what they really want. The good news is this, what businesses want from their online/offline marketing channels can be achieved today. But, the right platform needs to be in place. So, the question to ask is: 'Does your marketing insight platform have a Customer data model? (have you seen it? does it address/meet your analyst/business requirements?). Does it provide aggregated or non-aggregated visitor level insight? Can you slice and dice the data quickly, repeatedly, over time, integrate other channel sources and so on? Do you have a Business Intelligence platform in place already? If not, would MS Excel cut the mustard for you?

Done correctly, Customer Insight can be very powerful. The most surprising bit though is the cost to achieve it - it's not as much as you might imagine.

What Does 'Data' Look Like?

I often get asked the question 'What does data look like'?

So I show them. The problem with showing data (especially if you are a company in the Big Data space), is you can extract very detailed insights from such platforms. That then causes its own problems because then the question 'what do your charts and graphs look like'? At this point, you start to wonder whether this person is an 'aggregated data' fan or a 'non-aggregated data' fan.

As a former data and web analyst, I get data and I get it in a BIG way! I admit, looking at rows and rows of data in tables upon tables does get a little confusing at times (especially if you are only used to extracting insights from charts and graphs), but this is your moment to spot something that no one has spotted before. You can set the trends, spot the opportunities for improvement, impress your boss with the endless amount of insight you are now able to provide from all this 'Big Data'.

I have worked with many web analytics platforms from which many businesses across all industry verticals have asked me to build dashboards in MS Excel. I don't mind doing this. Being creative with data is something I enjoy, bringing insights from the backroom to the boardroom (what's the point in doing analysis if a business isn't going to listen).

But there in lies the problem. Almost all the web analytics platforms produce aggregated datasets from which gleaming any detailed insight into what caused what, when, where and why becomes challenging. For those that are analysts reading this post, I'm sure you have encountered the situation where endless requests to dig deeper into the data have come forward; 'why did we see a decline in sales', 'who saw out of stock items', 'who are my most valuable customers', 'who is exhibiting suspect churn behaviour'. With aggregated data, these questions (and trust me, there are millions more) cannot be answered for two main reasons; 1) it was never tagged in the first place or 2) because it is aggregated data, you will never know.

So, in summary - data may not look pretty but data is actionable. It can be used to gleam far greater insights which are otherwise not possible today (or likely to ever be possible) in web analytics platforms. Businesses need to move to a platform which can provide 'Big Data' from the online channel and leave the 'charts and graphs' to Business Intelligence platforms such as MicroStrategy, SAP Business Objects, Oracle BI or even MS Excel (the BI platform we all have on our machines today).