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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Field service and its impact on your bottom line

There are many pointers to successful field service in any business. Generally, labour hours, parts, technician efficiency, performance indicators and other bunch of data are the most important. However, the icing on top is the total revenue. If you are in business, you must be cocksure that it’s making money, and when you don’t rake in enough you need to make some business decisions quick!

For the most part, field service companies will always have a field service management software to handle all the data. But how will this affect your outlook?

Will this cause a direct increase in revenue?

What will still need to be changed so that the ship stays afloat?

Increase your service jobs

As expected, the best field management software will guarantee a positive increase in appointments per week. On average, the field service team should expect at least a 50% increase in work turnover. There is a direct relation between the revenue you should be making and the number of calls in your schedule since the only way of making more cash is to get more work done. It is not recommended to raise costs because it increases the risk of losing customers easy when they can’t meet the extra expense. Field service software will help you bring in more customers and also manage technicians.

If you have much of the hard work done for you then you?d have more time to run the show. This is why premises are trying out software because they answer many problems like:

Automation and improved work order management
Fast dispatch from an array of drag-drop scheduling tools
Easy-to-use field service apps for technicians to receive and submit work orders
Can be integrated into account systems for faster billing time

Manual operations are costly and prone to error, and they don’t come cheap. Do away with them, reduce costs, sit back and watch as new customers steadily stream in. Grow the business by building lasting relations with your workforce and customers.

Increase technician?s abilities with mobile

If you want to get more profit, bank on technicians who complete service calls. Their task is obviously the hardest. They have an unpredictable job; at times they need to come up with quick responses or they may also be required to dig deep as well. The work does not need to be slowed with an endless paper trail while they could be elsewhere giving their all. These technicians require a working mobile field service management app.

As expected, field service leaders who use a mobile field service software report close to 20% increase in service visits per technician. This translates to each technician taking nearly a fifth more calls in a day. And as we had said before, more service calls can double the profits. How can technicians get extra time from a field service mobile app?

No need to drive to work to pick orders
Less time using the phone looking for service or parts information
Reduces the time needed to go through paper-based work
Less time driving to service calls because information is routed to their mobile phones

Increase revenue from technicians

If time is spent seamlessly, dispatchers will find time in a technician?s schedule for an extra service call. With all this being done within normal working hours, the business stands to increase its bottom line. This is what makes the business grow. Not by increasing technicians but by optimum utilisation of the current staff to get maximum profit. The logic is straightforward ? a technician working 8 hours each day taking six calls a day will make more revenue than the one who takes four, because they are paid the same each, but the business benefits from the extra service calls.

The business stands to make more revenue per technician if it uses field service management software. The margins can go as high as 40% because the technician has all tools needed to get the job done faster. You increase revenue from field work too. Let technicians benefit from automated process and have all the tools for work that they need right on their mobile devices.

The target is always your bottom line

When field service leaders inquire about field service software, they need to know how it affect the bottom line: how they will spend less time drafting schedules, how each technician will increase revenue, how the business will grow. Simple as that!
Field service management applications bring a lot to the table.

Don’t waste your time crunching a lot of numbers or sorting out schedules since this is what such an application should do. Automation, optimisation and mobility are all ways of increasing revenue. Let us help you reach your goals using our top shelf field management software. This will not only help your bottom line but will let you have more time to venture into untapped potentials.

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.

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.

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.

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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New Focus on Monitoring Soil

There is nothing new about monitoring soil in arid conditions. South Africa and Israel have been doing it for decades. However climate change has increased its urgency as the world comes to terms with pressure on the food chain. Denizon decided to explore trends at the macro first world level and the micro third world one.

In America, the Coordinated National Soil Moisture Network is going ahead with plans to create a database of federal and state monitoring networks and numerical modelling techniques, with an eye on soil-moisture database integration. This is a component of the National Drought Resilience Partnership that slots into Barrack Obama?s Climate Action Plan.

This far-reaching program reaches into every corner of American life to address the twin scourges of droughts and inundation, and the agency director has called it ?probably ?… one of the most innovative inter-agency tools on the planet?. The pilot project involving remote moisture sensing and satellite observation targets Oklahoma, North Texas and surrounding areas.

Africa has similar needs but lacks America?s financial muscle. Princeton University ecohydrologist Kelly Caylor is bridging the gap in Kenya and Zambia by using cell phone technology to transmit ecodata collected by low-cost ?pulsepods?.

He deploys the pods about the size of smoke alarms to measure plants and their environment.?Aspects include soil moisture to estimate how much water they are using, and sunlight to approximate the rate of photosynthesis. Each pod holds seven to eight sensors, can operate on or above the ground, and transmits the data via sms.

While the system is working well at academic level, there is more to do before the information is useful to subsistence rural farmers living from hand to mouth. The raw data stream requires interpretation and the analysis must come through trusted channels most likely to be the government and tribal chiefs. Kelly Caylor cites the example of a sick child. The temperature reading has no use until a trusted source interprets it.

He has a vision of climate-smart agriculture where tradition gives way to global warming. He involves local farmers in his research by enrolling them when he places pods, and asking them to sms weekly weather reports to him that he correlates with the sensor data. As trust builds, he hopes to help them choose more climate-friendly crops and learn how to reallocate labour as seasons change.