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In the pro bono week that was held in the previous year, a series of pro bono related orientations were held by the citizens of Arizona. There were three goals that were concentrated in this week, and they are listed below.

First is the visibility of the various existing activities that are related to the pro bono has to be increased. Next the various needs of pro bono have to be understood in the community. Finally, the pro bono services that are done for no profit in the high need areas should be increased. And, after a year a great difference is seen in the operating procedures followed by the program for business volunteers for the arts.

Earlier, in order to maintain the various business volunteer relationships, community relations department or human resource departments were used. There are many employees who promote the various volunteer opportunities that are present but still it is not possible to fill all the requirements. In order to get the required amount of business volunteers for the arts programs, recruitments were done using the volunteer match. Promotion for the volunteers will be done through the websites, annual reports, and newsletters.

Here, the people who are interested in the work will fill the forms after which an interview will be conducted to select the volunteers. In fact, the information about the volunteer match will be updated automatically in the LinkedIn. Here, the skilled people will not only be updated about the various job opportunities that are available according to their skill but also the notifications related to the skill-based volunteer positions will be sent. Self employed, consultants and entrepreneurs are some of the skill-based volunteers. This activity will be handy to create a pool of volunteers waiting for a match that will be helpful at times of emergency or requirement.

Read Also :Contextual Marketing And Database Strategies

Data is the solution to any problem and marketing is no exception. If you want to strategize your marketing, it can be with the help of data. It can make your data faster and smarter. Yet, there are some doubts about whether marketing strategies driven by data are beneficial or not. This again depends on the mass of the data and its source. For art marketers data means how the internal system tracks revenue. The next question that arises is if the data matches your needs and will it deliver my requirements.

Many arts marketers think that transactional data is all that they have and hence become dependent on it. What they fail to realize is that there is more data available. Any data driven marketing strategy can be divided into three categories to increase targeting and revenue. This is called first party data, second party data, and third party data. First party data is owned by you and the information can be collected from ticket sales, focus groups, surveys and crowd intensity. As a marketer, it is always important to think beyond transactional data.

For example, the ticketing data of a person can tell you that he/she buys a ticket for summer performances. But the profile of the data can reveal that he/she does not live in that place during winters and hence selling a winter ticket would be futile. This gives a new dimension to your data. First party data can be useful for messaging the patrons, but it cannot be used to understand their behavior.

Second party data is first party data of another person made available to you. Such data has been exchanged for years. You can seek mail listing from peer organization. This second party data can balance too much and not enough data. This data is prospective and scalable when compared to first party data. Though, the only concern here is violating privacy concerns. This type of data is often considered the right choice.

Third party data can be collected from various sources. Huge data can be converted into suitable profiles that can help target the market. This type of data is both qualitative and quantitative. This can help understand how people behave that can help in developing a marketing strategy that is contextual. Third party data is sold through brokers, and open datasets are also available through sites like, and more.

When it comes to scalability and expansiveness of the data, it is not precise. Moreover, it is not unique, can be expensive and at times unreliable. It can also be massive that it cannot be read for action. Marketers try to avoid the risk factor that concerns privacy and data collection methods. On the whole, the type of data you want and how to use it depends on the needs of the marketer.

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