Which KPI?s to Use in CRM

Customer relationship management emerged in the 1980?s in the form of database marketing. In those tranquil pre-social media days, the possibility of ?managing? clients may have been a possibility although Twitter and Facebook took care of that. Modern managers face a more dynamic environment. If you are one, then what are the trends you should be monitoring yourself (as opposed to leaving it to others).

If you want to drip feed plants, you have to keep the flow of liquid regular. The same applies to drip-feed marketing. Customers are fickle dare we say forgetful. Denizon recommends you monitor each department in terms of Relationship Freshness. When were the people on your list last contacted, and what ensued from this?

Next up comes the Quality of Engagements that follow from these efforts. How often do your leads respond at all, and how many interfaces does it take to coax them into a decision? You need to relate this to response blocks and unsubscribes. After a while you will recognise the tipping point where it is pointless to continue.

Response Times relate closely to this. If your marketing people are hot then they should get a fast response to sales calls, email shots and live chats. It is essential to get back to the lead again as soon as possible. You are not the only company your customers are speaking too. Fortune belongs to the fast and fearless.

The purpose of marketing is to achieve Conversions, not generate data for the sake of it. You are paying for these interactions and should be getting more than page views. You need to drill down by department on this one too. If one team is outperforming another consider investing in interactive training.

Finally Funnel Drop-Off Rate. Funnel analysis identifies the points at which fish fall off the hook and seeks to understand why this is happening. If people click your links, make enquiries and then drift away, you have a different set of issues as opposed to if they do not respond at all.

You should be able to pull most of this information off your CRM system if it is half-decent, although you may need to trigger a few options and re orientate reporting by your people in the field. When you have your big data lined up speak to us. We have a range of data analysts brimming over with fresh ideas.

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Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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Web Analytics

There’s a vast ocean of raw customer data on the Web. Ever thought of the implications if somehow you could harness all that data and transform it into useful information? Information that perhaps you can use in your SEO (Search Engine Optimisation) and conversion optimisation?

There are web analytics tools you can employ for these purposes. But using web analytics tools will only win you half the battle. You’ll have to be proficient in configuring these tools to generate insightful and actionable results out of them. A poorly configured tool can produce confusing or even misleading information.

Our web analysts possess the expertise to configure and use web analytics tools, as well as analyse results and leverage information obtained from them.

These are the things we can do to help you take advantage of web analytics.

  • Discuss with your managers to establish your specific goals, to determine what specific data we have to collect/analyse and to plan out how to go about with the entire process.
  • Help you select an appropriate tool, install it and set optimal configurations including page tags, filters, funnels, reports and others.
  • Wield the full force of your analytics tool(s) to make sound business decisions.
  • Monitor the entire web analytics system and implement adjustments when needed.
Implementing Matrix Management

Matrix management is a culture change. More than the hierarchical structures, lines of responsibilities, modes of communication and channels of decision-making, it is a concept that needs to be planned ahead and managed appropriately over time.

Implementing matrix management to any organization can be confusing. It is essential to ensure that it fits right to your business strategies, skills and competencies. With this, realizing matrix management should not be taken lightly. Careful stages should be considered, instead.

Here are the steps to proper implementation of matrix management:

Consider Your Business Context

You need to evaluate your organisation to analyse what are your development needs with regards to skills, products, services and market environment. This will help you decide on what type of matrix structure you will apply in your organisation. Consider the following questions in building up your context:

  • What is our strategy?
  • Where are the demands in our business?
  • What are the structures that our competitors currently employ?
  • What are the talents that my people possess?
  • What are other business organizations doing?

Set Your Implementation Scope

Next, you need to define the parameter and set the scope of your implementation. What area in your business do you think matrix management will successfully work? There are several things that you need to consider in setting your scope. You have to make sure that it works well with your overall business strategies, that it can be excellently communicated and easily understood. Also, you must ensure that you acquire the necessary talents and skills in the business to deliver the new system of responsibilities.

Implement the New Structure

When you have already decided what structure type you will implement, you are ready to give it a go. You will need to establish new communication channels so you can monitor the progress and receive feedback effectively.

Here?s how to apply the matrix structure:

  • Highlight your development needs
  • Define roles based on outputs and not inputs
  • Line up procedures and systems to support the structure and the behaviour that comes with it.
  • Invest in training and development
  • Support the key people in the structure by coaching them to better adapt in changes
  • Communicate regularly
  • Monitor progress and make necessary adjustments

Review the Matrix Structure, Roles and Responsibilities

Organisations that successfully implement matrix management adapt to the changes in their environment. With this, they do regular evaluations to highlight the need for changes and revisions. The review can either focus on the structure only or to the entire process as a whole. The results can alter the structure, the roles involved and the responsibilities taken.

The process of implementing matrix management follows a step-by step method. Each stage is equally important with the rest. Hence, if you plan to exploit it in your organisation, you have to recognise the purpose of each step and follow it appropriately. Balance is the key. And when you achieve stability in matrix management, amidst the complex changes in the world of business, then your organisational success is just around the corner.

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