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Artificial intelligence

23 January 2025

Sponsorship forecasts: The secret formula for your success

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In today's business world, sponsorship forecasts are becoming increasingly important. Companies use these detailed forecasts to maximise the success of their partnerships and make strategically smart decisions. Sponsorship forecasts help to better understand the complex interplay of target groups, media impact and financial key figures and to utilise them profitably.

Why sponsorship forecasts are so valuable

Sponsorship is not just a matter of give and take, but a targeted interplay of services and consideration. A well-founded forecast helps to determine which measures and partners will deliver the greatest added value. Anyone sponsoring a sporting event, for example, wants to ensure that the well-known brand becomes more visible and is associated with the right target group. Sponsorship forecasts provide valuable impulses for optimising the sponsorship mix.

In practice, there are exciting potential applications: A company focussing on local sports sponsorship events can use forecasts to better plan when and where to invest in order to achieve the greatest possible reach and advertising impact. At the same time, these forecasts help to control costs and utilise the budget in a more targeted manner.

Another example relates to cultural sponsorship: museums, theatres and festivals benefit from forecasts that estimate potential visitor numbers and media interest. This makes it possible to effectively link marketing measures and attract sponsors with convincing figures.

BEST PRACTICE for a client (name concealed due to NDA contract): For a regional sporting event, iROI-Coaching created a precise forecast of visitor development and media reach. This enabled the sponsor to time its involvement precisely and increase awareness within the relevant target group by 30 % through targeted advertising measures.

How sponsorship forecasts work in practice

The preparation of sponsorship forecasts is based on an analysis of various dimensions. Firstly, target group relationships are assessed: Who does the sponsorship measure reach, and is there any overlap with corporate customers? Age, gender and regional aspects are decisive factors here. In addition, quantitative factors such as visitor numbers at events, media reach or social media engagement are also taken into account.

Qualitative parameters are also taken into account, such as the image of the event or the sponsored organisation. A positive image can enhance the value of the sponsor, which often leads to better customer loyalty.

Various statistical methods and market research tools are used to link this data effectively. The forecasts provide numerical estimates of reach potential, image transfer and possible sales increases. This provides those responsible with a reliable decision-making basis for selecting the best sponsorship objects and the optimum timing.

A third practical example comes from the area of youth sports sponsorship: here, forecasts were made as to what effect regional sports sponsorship programmes have on a company's local brand image. Thanks to the analysis, the sponsor was able to focus its budget precisely on the most effective measures.

Sponsorship forecasts as part of strategic planning

Sponsorship forecasts are not an end in themselves. They should be firmly integrated into the marketing process in order to make data-based decisions. In addition to analysing target groups and reach, strategic planning also includes defining suitable messages and relevant benefits that make sponsorship attractive.

For example, a technology company appearing as a sponsor at a trade fair benefits from a precise forecast of the visitor structure. This enables targeted on-site activations, better networking opportunities and more efficient budget allocation.

At the same time, a car manufacturer places its sponsorship projects on a long-term basis. Regular forecasts enable it to recognise trends at an early stage and flexibly adapt its commitment - for example, when supporting electromobility events as a new growth segment.

BEST PRACTICE for a client (name withheld due to NDA agreement): As part of a sports sponsorship project, iROI-Coaching also supported the sponsor in the selection of customised counter services. With the help of forecast data, the client optimised its advertising measures, which saved costs and at the same time significantly increased visibility.

My analysis

Today, sponsorship forecasts are essential tools for operating successfully in the complex advertising market. They promote an understanding of target groups, enable better budget decisions and help to make the impact of measures measurable. Numerous industries - from sport and culture to technology and retail - report positive effects from the targeted use of these forecasts.

iROI-Coaching supports companies in their sponsorship forecasting projects to achieve optimal results. Data-based strategies create sustainable partnerships with a high return on investment.

Further links from the text above:

Sponsoring - Definition | Gabler Wirtschaftslexikon
Sponsoring: definition, example and more | Lexware
Marketing forecasts - definition, components and methods | Adobe Blog
Sponsorship goals and benefits | owayo
What is sponsoring? Definition, objectives, advantages and disadvantages | Franchiseportal
Basic knowledge of sports sponsoring | IST-Studieninstitut
Sports sponsorship in transition - WHU Research Report
Measuring the success of sponsoring | Cuvillier Verlag
Sponsoring - simply explained with examples | Sevdesk

For more information and if you have any questions, please contact Contact us or read more blog posts on the topic internet Return on Investment - Marketing here.

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Sponsorship forecasts: The secret formula for your success

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#Marketing strategy #ROI #SponsoringForecast #Target group analysis

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