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    Incentive Marketing
    Incentive marketing, simply put is a specific plan to get people to do what you want them to do. This could be employees or customers; you offer a reward of some kind for performing certain objectives. When we say incentive marketing however this usually refers to customers or clients. We want them to remain loyal to a brand, product or company, and so in order to do this we set up an incentive marketing strategy that will bring them back continuously.The first thing you need to do to create an effective incentive marketing strategy is to set a goal or objective, such as increasing the sale of a specific product. This goal needs to be simple and achievable, and must be specific and clear enough for all the intended participants to understand. Next outline who your target audience is and how they are going to be influenced by your incentive marketing strategy. This step is important since it will influence the budget for your incentive marketing program as well as how you will be relaying the message to them and also how you will measure the results of your program. There are also other important things to take into account at this stage such as geographic boundaries or sales regions, legal considerations, the length of the program
    want to know, what you want to measure and what kinds of signals you need those measures to flag for you. The software is amazing at automating the reporting of the measures to you, but it just won’t do the thinking about what it should report to you.

    mistake #6: use tables, instead of graphs, to report performance

    Tables are a very common way to present performance measures, no doubt in part a legacy from the original financial reports that management accountants provided (and still provide today) to decision makers. They are familiar, but they are ineffective. Tables encourage you to focus on the points of data, which is the same as not seeing the forest for the trees. As a manager, you aren’t just managing performance today or this month. You are managing performance over the medium to long term. And the power to do that well comes from focusing on the patterns in your data, not the points of data themselves. Patterns like gradual changes over time, sudden shifts or abrupt changes through time, events that stand apart from the normal pattern of variation in performance. And graphs are the best way to display patterns.

    mistake #7: f

    Everything You Want To Know About Selling
    How to Score in SalesWould you like to be the kind of salesman who could sell ice at the North Pole? The first thing you have to do is stop selling ice. I’m serious. The folks at the North Pole don’t need it. It may sound counter-intuitive but if you can find out what they do need, want and like you can charm them into buying that new ice maker every time.Target people, not your productYou can probably tell a potential customer everything there is to know about what you sell. You can rattle off every feature, you can justify its price or tell us when it will be on sale, and you know exactly how it compares to other products like it. The problem with making your product the most important focus in your sales pitch is that you’ve missed the one desire that every customer has: The desire to be the most important focus.Plan your selling strategy with their goal in mindInstead of reading a script, or making a rehearsed pitch, ask open ended questions in order to find out what is most important to your customer. For example, if you are selling cookware, before you mention a single pot you should ask your potential buyer if they like to cook. Follow their answer with more questions: Why do they like or dislike
    mistake #1: rely just on financial statements

    Profit and loss, revenue and expenses these are measures of important things to a business. But they are information that is too little and too late. Too little in the sense that other results matter too, such as customer satisfaction, customer loyalty, customer advocacy. Too late in the sense that by the time you see bad results, the damage is already done. Wouldn’t it be better to know that profit was likely to fall before it actually did fall, and in time to prevent it from falling?

    mistake #2: look only at this month, last month, year to date

    Most financial performance reports summarise your financial results in four values: 1) actual this month; 2) actual last month; 3) % variance between them; and 4) year to date. Even if you are measuring and monitoring non-financial results, you may still be using this format. It encourages you to react to % variances (differences between this month and last month) which suggest performance has declined such as any % variation greater than 5 or 10 percent (usually arbitrarily set). Do you honestly expect the % variance to always show improvement? And if it doesn’t, does that really mean things have gotten bad and you have to fix them? What about the natural and unavoidable variation that affects everything, the fact that no two things are ever exactly alike? Relying on % variations runs a great risk that you are reacting to problems that aren’t really there, or not reacting to problems which are really there that you didn’t see. Wouldn’t you rather have your reports reliably tell you when there really was a problem that needed your attention, instead of wasting your time and effort chasing every single variation?

    mistake #3: set goals without ways to measure and monitor them

    Business planning is a process that is well established in most organisations, which means they generally have a set of goals or objectives (sometimes cascaded down through the different management levels of the organisation). What is interesting though, is that the majority of these goals or objectives are not measured well. Where measures have been nominated for them, they are usually something like this: Implement a customer relationship management system into the organisation by June 2006 (for a goal of improving customer loyalty) This is not a measure at all it is an activity. Measures are ongoing feedback of the degree to which something is happening. If this goal were measured well, the measure would be evidence of how much customer loyalty the organisation had, such as tracking repeat business from customers. How will you know if your goals, the changes you want to make in your organisation, are really happening, and that you are not wasting your valuable effort and money, without real feedback?

    mistake #4: use brainstorming (or other poor methods) to select measures

    Brainstorming, looking at available data, or adopting other organisations' measures are many of the reasons why we end up with measures that aren't useful and usable. Brainstorming produces too much information and therefore too many measures, it rarely encourages a strong enough focus on the specific goal to be measured, everyone’s understanding of the goal is not sufficiently tested, and the bigger picture is not taken into account (such as unintended consequences, relationships to other objectives/goals). Looking at available data means that important and valuable new data will never be identified and collected, and organisational improvement is constrained by the knowledge you already have. Adopting other organisations' measures, or industry accepted measures, is like adopting their goals, and ignoring the unique strategic direction that sets your organisation apart from the pack. Wouldn’t you rather know that the measures you select are the most useful and feasible evidence of your organisation’s goals?

    mistake #5: rely on scorecard technology as the performance measure fix

    You can (and maybe you did) spend millions of dollars on technology to solve your performance measurement problems. The business intelligence, data mining and ‘scorecarding’ software available today promises many things like comprehensive business intelligence reporting, award-winning data visualization, and balanced scorecard and scorecarding and an information flow that transcends organizational silos, diverse computing platforms and niche tools .. and delivers access to the insights that drive shareholder value. Wow! But there’s a problem lurking in the shadows of these promises. You still need to be able to clearly articulate what you want to know, what you want to measure and what kinds of signals you need those measures to flag for you. The software is amazing at automating the reporting of the measures to you, but it just won’t do the thinking about what it should report to you.

    mistake #6: use tables, instead of graphs, to report performance

    Tables are a very common way to present performance measures, no doubt in part a legacy from the original financial reports that management accountants provided (and still provide today) to decision makers. They are familiar, but they are ineffective. Tables encourage you to focus on the points of data, which is the same as not seeing the forest for the trees. As a manager, you aren’t just managing performance today or this month. You are managing performance over the medium to long term. And the power to do that well comes from focusing on the patterns in your data, not the points of data themselves. Patterns like gradual changes over time, sudden shifts or abrupt changes through time, events that stand apart from the normal pattern of variation in performance. And graphs are the best way to display patterns.

    mistake #7: fa

    Service VS. Location - Which One Wins?
    So it comes down to the location of your business, which does not look that promising. You are at the end of the mall, the wrong end. You have major competitors nearby, ones with deep pockets. Do you stay in this location, how can you compete, profitably. In 2005, we assisted a company with this problem, while increasing sales 25% two years in a row over each previous year. How did we do it?1. Product SelectionOne of the most important items in service sales business today is product selection. You must be able to move your product as fast as possibly to increase volume but also be able to increase your square foot margin by moving old product as quickly as possible. Why is this? Well in today's market, there are a lot of providers of similar products and similar service and if you get caught in not responding to product changes quick enough or not having staff to sell the benefits of exact products you can get caught with excess stock. This not only frustrates your staff, your company, profits but also hinders further customer preference in selection or when they are looking for the next item they saw advertised they want and go to their favorite store only to find they don't carry it. Trust me, if this continues the custom
    nd if it doesn’t, does that really mean things have gotten bad and you have to fix them? What about the natural and unavoidable variation that affects everything, the fact that no two things are ever exactly alike? Relying on % variations runs a great risk that you are reacting to problems that aren’t really there, or not reacting to problems which are really there that you didn’t see. Wouldn’t you rather have your reports reliably tell you when there really was a problem that needed your attention, instead of wasting your time and effort chasing every single variation?

    mistake #3: set goals without ways to measure and monitor them

    Business planning is a process that is well established in most organisations, which means they generally have a set of goals or objectives (sometimes cascaded down through the different management levels of the organisation). What is interesting though, is that the majority of these goals or objectives are not measured well. Where measures have been nominated for them, they are usually something like this: Implement a customer relationship management system into the organisation by June 2006 (for a goal of improving customer loyalty) This is not a measure at all it is an activity. Measures are ongoing feedback of the degree to which something is happening. If this goal were measured well, the measure would be evidence of how much customer loyalty the organisation had, such as tracking repeat business from customers. How will you know if your goals, the changes you want to make in your organisation, are really happening, and that you are not wasting your valuable effort and money, without real feedback?

    mistake #4: use brainstorming (or other poor methods) to select measures

    Brainstorming, looking at available data, or adopting other organisations' measures are many of the reasons why we end up with measures that aren't useful and usable. Brainstorming produces too much information and therefore too many measures, it rarely encourages a strong enough focus on the specific goal to be measured, everyone’s understanding of the goal is not sufficiently tested, and the bigger picture is not taken into account (such as unintended consequences, relationships to other objectives/goals). Looking at available data means that important and valuable new data will never be identified and collected, and organisational improvement is constrained by the knowledge you already have. Adopting other organisations' measures, or industry accepted measures, is like adopting their goals, and ignoring the unique strategic direction that sets your organisation apart from the pack. Wouldn’t you rather know that the measures you select are the most useful and feasible evidence of your organisation’s goals?

    mistake #5: rely on scorecard technology as the performance measure fix

    You can (and maybe you did) spend millions of dollars on technology to solve your performance measurement problems. The business intelligence, data mining and ‘scorecarding’ software available today promises many things like comprehensive business intelligence reporting, award-winning data visualization, and balanced scorecard and scorecarding and an information flow that transcends organizational silos, diverse computing platforms and niche tools .. and delivers access to the insights that drive shareholder value. Wow! But there’s a problem lurking in the shadows of these promises. You still need to be able to clearly articulate what you want to know, what you want to measure and what kinds of signals you need those measures to flag for you. The software is amazing at automating the reporting of the measures to you, but it just won’t do the thinking about what it should report to you.

    mistake #6: use tables, instead of graphs, to report performance

    Tables are a very common way to present performance measures, no doubt in part a legacy from the original financial reports that management accountants provided (and still provide today) to decision makers. They are familiar, but they are ineffective. Tables encourage you to focus on the points of data, which is the same as not seeing the forest for the trees. As a manager, you aren’t just managing performance today or this month. You are managing performance over the medium to long term. And the power to do that well comes from focusing on the patterns in your data, not the points of data themselves. Patterns like gradual changes over time, sudden shifts or abrupt changes through time, events that stand apart from the normal pattern of variation in performance. And graphs are the best way to display patterns.

    mistake #7: f

    Older Worker Job Tips
    Attitude checkup. If you’re looking for exactly what you had before and you won’t take anything less, let it go.It’s understandable that if you’re over 50 you would want to do what you’ve always done, but this is not the time to stay in your comfort zone. This is the time to test the waters and try new things; challenge yourself; consider pursuing your passion; begin a new phase or chapter in your life.Perception. If you act and appear “old” that’s what an employer will see. Liven up!While age discrimination is a developing trend in the job market, age will be perceived by the potential employer as well as life experience, dependability, loyalty, wisdom and strong work ethics. Make it work for you instead of against you.Desperation. If you seem desperate, lack direction and eager to take any job, get focused and know what you want.“What DO you want?” is an easy question to ask, but often very difficult to answer. Chances are you haven’t asked yourself that question because you figured it wasn’t possible anyway. Maybe it is possible. If you find it difficult to uncover what you really want to do, a career coach can help unlock those hidden passions.
    ving customer loyalty) This is not a measure at all it is an activity. Measures are ongoing feedback of the degree to which something is happening. If this goal were measured well, the measure would be evidence of how much customer loyalty the organisation had, such as tracking repeat business from customers. How will you know if your goals, the changes you want to make in your organisation, are really happening, and that you are not wasting your valuable effort and money, without real feedback?

    mistake #4: use brainstorming (or other poor methods) to select measures

    Brainstorming, looking at available data, or adopting other organisations' measures are many of the reasons why we end up with measures that aren't useful and usable. Brainstorming produces too much information and therefore too many measures, it rarely encourages a strong enough focus on the specific goal to be measured, everyone’s understanding of the goal is not sufficiently tested, and the bigger picture is not taken into account (such as unintended consequences, relationships to other objectives/goals). Looking at available data means that important and valuable new data will never be identified and collected, and organisational improvement is constrained by the knowledge you already have. Adopting other organisations' measures, or industry accepted measures, is like adopting their goals, and ignoring the unique strategic direction that sets your organisation apart from the pack. Wouldn’t you rather know that the measures you select are the most useful and feasible evidence of your organisation’s goals?

    mistake #5: rely on scorecard technology as the performance measure fix

    You can (and maybe you did) spend millions of dollars on technology to solve your performance measurement problems. The business intelligence, data mining and ‘scorecarding’ software available today promises many things like comprehensive business intelligence reporting, award-winning data visualization, and balanced scorecard and scorecarding and an information flow that transcends organizational silos, diverse computing platforms and niche tools .. and delivers access to the insights that drive shareholder value. Wow! But there’s a problem lurking in the shadows of these promises. You still need to be able to clearly articulate what you want to know, what you want to measure and what kinds of signals you need those measures to flag for you. The software is amazing at automating the reporting of the measures to you, but it just won’t do the thinking about what it should report to you.

    mistake #6: use tables, instead of graphs, to report performance

    Tables are a very common way to present performance measures, no doubt in part a legacy from the original financial reports that management accountants provided (and still provide today) to decision makers. They are familiar, but they are ineffective. Tables encourage you to focus on the points of data, which is the same as not seeing the forest for the trees. As a manager, you aren’t just managing performance today or this month. You are managing performance over the medium to long term. And the power to do that well comes from focusing on the patterns in your data, not the points of data themselves. Patterns like gradual changes over time, sudden shifts or abrupt changes through time, events that stand apart from the normal pattern of variation in performance. And graphs are the best way to display patterns.

    mistake #7: f

    Fundraising: Plan To Succeed With A Fundraising Plan
    Fundraising can be a hit and miss affair. Often, particularly in the smaller organisations, the fundraising tasks are given to people with little or no fundraising experience.It is extremely important for those people to understand that fundraising is a discipline. It should be approached as such, and any fundraising effort should be preceded by a properly thought out fundraising plan. Planning a successful fundraiser is a plan to succeed, failing to plan your fundraiser is a plan to fail.It’s not particularly difficult to develop a fundraising plan. It needn’t be especially detailed or involved, but you do need to give it some thought.The first thing to think about is your goal. What is it you are trying to do? How much are you trying to raise? What is your ultimate objective for your fundraiser?Who do you have available to run the fundraiser? What skills do they have? How much time do they have?What will your fundraising activity be? Will you be selling something? How? When? Where? To whom? How much profit will a sale make? How many do you need to sell to make your goal? Is there demand? Who will your buyers be? Will you be where they are on the day?Once you have the basics drawn up add meat to
    ll never be identified and collected, and organisational improvement is constrained by the knowledge you already have. Adopting other organisations' measures, or industry accepted measures, is like adopting their goals, and ignoring the unique strategic direction that sets your organisation apart from the pack. Wouldn’t you rather know that the measures you select are the most useful and feasible evidence of your organisation’s goals?

    mistake #5: rely on scorecard technology as the performance measure fix

    You can (and maybe you did) spend millions of dollars on technology to solve your performance measurement problems. The business intelligence, data mining and ‘scorecarding’ software available today promises many things like comprehensive business intelligence reporting, award-winning data visualization, and balanced scorecard and scorecarding and an information flow that transcends organizational silos, diverse computing platforms and niche tools .. and delivers access to the insights that drive shareholder value. Wow! But there’s a problem lurking in the shadows of these promises. You still need to be able to clearly articulate what you want to know, what you want to measure and what kinds of signals you need those measures to flag for you. The software is amazing at automating the reporting of the measures to you, but it just won’t do the thinking about what it should report to you.

    mistake #6: use tables, instead of graphs, to report performance

    Tables are a very common way to present performance measures, no doubt in part a legacy from the original financial reports that management accountants provided (and still provide today) to decision makers. They are familiar, but they are ineffective. Tables encourage you to focus on the points of data, which is the same as not seeing the forest for the trees. As a manager, you aren’t just managing performance today or this month. You are managing performance over the medium to long term. And the power to do that well comes from focusing on the patterns in your data, not the points of data themselves. Patterns like gradual changes over time, sudden shifts or abrupt changes through time, events that stand apart from the normal pattern of variation in performance. And graphs are the best way to display patterns.

    mistake #7: f

    Is IP The Most Cost Effective Choice For Your Business Communication Applications?
    Too often a business assumes that IP based solutions are the best choice to satisfy their communication requirements. Particulalrly with convergence issues. But....don't get caught making a hasty decision. There are viable options...and factors to consider before making a final choice.One of the problems with convergence is protocol, starting with IP.While we tend to think in terms of Internet and IP, there are alternatives. Dedicated circuits come to mind, followed by frame relay. One option that hasn't gotten much exposure but may offer some real advantages is gigabit Ethernet via fiber optics. The fiber overcomes the distance limitations associated with Ethernet. Ethernet allows for layer 2 switching versus IP based routing. From a private network perspective, this may be an ideal way of lowering overheads and improving latency and jitter issues.The same applies to other transports such as a private radio network. The IP headers are only one solution to source and destination, and are necessary only when joining the public Internet where IPv4 is the required protocol by agreement (not technical requirement). In 1985, the choice of protocol was still being debated, and Ethernet and Token Ring were still fighting
    want to know, what you want to measure and what kinds of signals you need those measures to flag for you. The software is amazing at automating the reporting of the measures to you, but it just won’t do the thinking about what it should report to you.

    mistake #6: use tables, instead of graphs, to report performance

    Tables are a very common way to present performance measures, no doubt in part a legacy from the original financial reports that management accountants provided (and still provide today) to decision makers. They are familiar, but they are ineffective. Tables encourage you to focus on the points of data, which is the same as not seeing the forest for the trees. As a manager, you aren’t just managing performance today or this month. You are managing performance over the medium to long term. And the power to do that well comes from focusing on the patterns in your data, not the points of data themselves. Patterns like gradual changes over time, sudden shifts or abrupt changes through time, events that stand apart from the normal pattern of variation in performance. And graphs are the best way to display patterns.

    mistake #7: fail to identify how performance measures relate to one other

    A group of decision makers sit around the meeting room table and one by one they go over the performance measure results. They look at the result, decide if it is good or bad, agree on an action to take, then move on to the next measure. They might as well be having a series of independent discussions, one for each measure. Performance measures might track different parts of the organisation, but because organisations are systems made up of lots of different but very inter-related parts, the measures must be inter-related too. One measure cannot be improved without affecting or changing another area of the organisation. Without knowing how measures relate to one another and using this knowledge to interpret measure results, decision makers will fail to find the real, fundamental causes of performance results.

    mistake #8: exclude staff from performance analysis and improvement

    One of the main reasons that staff get cynical about collecting performance data is that they never see any value come from that data. Managers more often than not will sit in their meeting rooms and come up with measures they want and then delegate the job of bringing those measures to life to staff. Staff who weren’t involved in the discussion to design those measures, weren’t able to get a deeper understanding of why those measures matter, what they really mean, how they will be used, weren’t able to contribute their knowledge about the best types of data to use or the availability and integrity of the data required. And usually the same staff producing the measures don’t ever get to see how the managers use those measures and what decisions come from them. When people aren’t part of the design process of measures, they find it near impossible to feel a sense of ownership of the process to bring those measures to life. When people don’t get feedback about how the measures are used, they can do little more than believe they wasted their time and energy.

    mistake #9: collect too much useless data, and not enough relevant data

    Data collection is certainly a cost. If it isn’t consuming the time of people employed to get the work done, then it is some kind of technological system consuming money. And data is also an asset, part of the structural foundation of organisational knowledge. But too many organisations haven’t made the link between the knowledge they need to have and the data they actually collect. They collect data because it has always been collected, or because other organisations collect the same data, or because it is easy to collect, of because someone once needed it for a one-off analysis and so they might as well keep collecting it in case it is needed again. They are overloaded with data, they don’t have the data they really need and they are exhausted and cannot cope with the idea of collecting any more data. Performance measures that are well designed are an essential part of streamlining the scope of data collected by your organisation, by linking the knowledge your organisation needs with the data it ought to be collecting.

    mistake #10: use performance measures to reward and punish people

    One practice that a lot of organisations are still doing is using performance measures as the basis for rewarding and punishing people. They are failing to support culture of learning by not tolerating mistakes and focusing on failure. It is very rare that a single person can have complete control over any single area of performance. In organisations of more than 5 or 6 people, the results are undeniably a team’s product, not an individual’s product. When people are judged by performance measures, they will do what they can to reduce the risk to them of embarrassment, missing a promotion, being disciplined or even given the sack. They will modify or distort the data, they will report the measures in a way that shows a more favourable result (yes – you can lie with statistics), they will not learn about what really drives organisational performance and they will not know how to best invest the organisation’s resources to get the best improvements in performance.

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