Convert visits to sales to repeat purchases

The moment you start seeing more than a thousand unique visitors in just one day, we won’t be surprised if you’d be grinning ear to ear the entire week. But when weeks turn into months, you’ll then remember why you started off on this venture in the first place … and it wasn’t about just owning an immensely popular website.

People, like you, who’ve chosen to invest in eCommerce were most likely thinking along the lines of great ROI, revenues, and profits. Now that you have thousands of visitors, how would you like to have, say for a start, 1% of them buying the products on your site?

You know more about your own product prices; you do the math. But what might really interest you is that a slight change in that 1% conversion rate can already spell a big difference in your profits. Now imagine bringing that 1% up to at least 10%. That’s possible, but not if you simply rely on guesswork.

We rely on tests applicable to complex multi-variable systems, just like today’s typical eCommerce websites, in determining which combination of copy text, landing page images, form layouts, and background colours generate higher conversion rates.

Here’s how we’ll convert your visitors into buyers:

  • We’ll conduct A/B or even multivariate tests on your eCommerce website, thus eliminating guesswork in determining how to increase those conversion rates.
  • We’ll perform on-site and off-site web analytics to gain a deeper understanding of web usage to aid in our optimisation operations.
  • Through our expertise in copywriting, graphics and web designing, UI designing, and website QA, we can enhance and fine tune your site to give each visitor a uniquely engaging browsing experience.
  • We can also integrate CRM (Customer Relationship Management) systems so that you’ll have the technical advantage to turn one-time buyers into repeat customers.

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How Energy Conservation saved Fambeau River Paper

Rising energy costs caught this Wisconsin paper mill napping, and it soon shut down because it was unable to innovate. Someone else bought it and turned it around by measuring, modifying, monitoring and listening to people.

The Fambeau River Paper Mill in Prince County, Wisconsin USA employed 13% of the city?s residents until rising energy costs shut it down in 2006. Critics wrote it off as an energy dinosaur unable to adapt. But that was before another company bought it out and resuscitated it as a fleet-footed winner.

Its collapse was a long time coming and almost inevitable. Wisconsin electricity prices had grown a third since 1997, the machinery was antiquated and the dependence on fossil power absolute. So what did the new owners change, and is there anything we can learn from this?

The key to understanding what suddenly went right was the new owners? ability to listen. They requested a government Energy Assessment that suggested a number of small step changes that took them where they needed to go in terms of energy saving. These included enhancements in steam systems and fuel switch modifications. However they needed more than that.

The second game changer was tracking down key members of the old workforce and listening to them too. This combination enabled them to finally hire back 92% of the original labour force under the same terms and conditions – and still make a profit (the other 8% had moved on elsewhere or retired). The combined energy savings produced a payback plan of 5.25 years. Three years into the project their capital investment of $15 million had already clawed back the following electricity savings.

  • Evaporator Temperature Control $2,245,000
  • Hot Water Heat Recovery $2,105,000
  • Paper Machine Devronisers $1,400,000
  • Increased Boiler Output $1,134,000
  • Paper Machine Modifications; $761,000
  • Motive Air Dryer $610,000
  • Accumulator Savings $448,000
  • Densified Fuels Plant $356,000

In terms of carbon dioxide produced, the Fambeau River Paper Mill?s contribution dropped from 1 ton to 600 pounds.

How well do you know where your company?s energy spend is concentrated, and how this compares with your industry average; could you be doing better if you innovated, and by how much? Get these questions answered by asking ecoVaro how easy it could be to get on top of your carbon metrics. This could cost you a phone call and a payback on it so rapid it’s not worth stopping to calculate.

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The Connection between Big Data and MDM

Master Data is information that is critical to your business. This could include contracts, proprietary information, intellectual capital and a whole lot more besides. Because this often reposes in a variety of different places, you need a master data management / MDM policy to control it. That way, you can link it all together in a single, secure, backed up file.

This Sounds Like Big Data

Not necessarily: big data refers to extremely large data sets that are best stored and analysed on a cloud using big technology, in order to uncover trends, patterns and associations often relating to human behaviour. Of course, if you run a niche restaurant your critical master data might be limited to a few recipes and the books you do not care to show your accountant.

The distinction is largely a question of size: think of your master data as the subset of big data that you already have your mind around. According to John Case of IBM this is probably already in a structured format and available to share. He goes on to present a cogent case for using this as a peg point around which to systematise the rest. This is because the average organisation already has master data recording customers? and prospects? behaviour.

Do I Still Need My Master Data?

Yes you do, because real people created it with the benefit of human insight. Retain it as a separate set. Then compare it with the results of big data processing for even richer insights. Two heads are better that one and that goes for data processing too.

Trends in CRM Big Data

Adding data via location-aware devices like smartphones and tablets is adding a new dimension to customer information. We now know where they were when they made the enquiry or punched in the information. Use this geo-location data to hone the way you interact with customers and service their accounts. Do not phone a customer who makes decisions at work when they are at home.

Does My Master Data Belong on a Cloud?

There are a number of ?ifs? to consider. How comfortable are you with your service provider. What would happen if someone hacked their server? There are many advantages to cloud technology. Denizon knows of solutions you can rely on, and makes sure its clients have contingency plans to protect them at all times.

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What Kanban can do for Call Centre Response Times

When a Toyota industrial engineer named Taiichi Ohno was investigating ways to optimise production material stocks in 1953, it struck him that supermarkets already had the key. Their customers purchased food and groceries on a just-in-time basis, because they trusted continuity of supply. This enabled stores to predict demand, and ensure their suppliers kept the shelves full.

The Kanban system that Taiichi Ohno implemented included a labelling system. His Kanban tickets recorded details of the factory order, the delivery destination, and the process intended for the materials. Since then, Ohno?s system has helped in many other applications, especially where customer demand may be unpredictable.

Optimising Workflow in Call Centres
Optimising workflow in call centres involves aiming to have an agent pick up an incoming call within a few rings and deal with it effectively. Were this to be the case we would truly have a just-in-time business, in which operators arrived and left their stations according to customer demand. For this to be possible, we would need to standardise performance across the call centre team. Moving optimistically in that direction we would should do these three things:

  • Make our call centre operation nimble
  • Reduce the average time to handle calls
  • Decide an average time to answer callers

When we have done that, we are in a position to apply these norms to fluctuating call frequencies, and introduce ?kanbanned? call centre operators.

Making Call Centre Operations Nimble
The best place to start is to ask the operators and support staff what they think. Back in the 1960?s Robert Townsend of Avis Cars famously said, ?ask the people ? they know where the wheels are squeaking? and that is as true as ever.

  1. Begin by asking technical support about downtime frequencies, duration, and causes. Given the cost of labour and frustrated callers, we should have the fastest and most reliable telecoms and computer equipment we can find.
  1. Then invest in training and retraining operators, and making sure the pop-up screens are valuable, valid, and useful. They cannot do their job without this information, and it must be at least as tech-savvy as their average callers are.
  1. Finally, spruce up the call centre with more than a lick of paint to awaken a sense of enthusiasm and pride. Find time for occasional team builds and fun during breaks. Tele-operators have a difficult job. Make theirs fun!

Reducing Average Time to Handle Calls
Average length of contact is probably our most important metric. We should beware of shortening this at the cost of quality of interaction. To calculate it, use this formula:

Total Work Time + Total Hold Time + Total Post Call Time

Divided By

Total Calls Handled in that Period

Share recordings of great calls that highlight how your best operators work. Encourage role-play during training sessions so people learn by doing. Publish your average call-handling time statistics. Encourage individual operators to track how they are doing against these numbers. Make sure your customer information is up to date. While they must confirm core data, limit this so your operators can get down to their job sooner.

Decide a Target Time to Answer Calls
You should know what is possible in a matter of a few weeks. Do not attempt to go too tight on this one. It is better to build in say 10% slack that you can always trim in future. Once you have decided this, you can implement your Kanban system.

Introducing Kanban in Your Call Centre Operation
Monitor your rate of incoming calls through your contact centre, and adjust your operator-demand metric on an ongoing basis. Use this to calculate your over / under demand factor. Every operator should know the value on this Kanban ticket. It will tell them whether to speed up a little, or slow down a bit so they deliver the effort the call rate demands. It will also advise the supervisor when to call up reserves.

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