The Reason why Sponsorship Data Remains Siloed in most Marketing Teams
Sponsorship is no longer an exception to the current marketing trends, particularly when it comes to marketing brands that aim to establish long-lasting visibility and collaborations. In spite of this significance, a lot of marketing departments are unable to coordinate sponsorship information in a single manner.
Information tends to reside in different tools, spread sheets and internal systems that are not in touch with one another. This fragmentation complicates the assessment of performance or comprehension of the overall effect of sponsorship activities. These inefficiencies are even more pronounced as the teams become larger in their partnerships.
The problem is not only one of the differences in technologies but also of the organization of teams and the development of processes over time. Sponsorships will tend to be at the border of marketing, partnerships, finance and in some cases, legal departments.
Every group has its metrics and systems and this creates silos of course. These disjointed workflows over time become the norm and not the exception. This is why the solution of the problem needs not only operational changes but also technological changes.
Disjointed Tools and Sliced Workflows
Numerous marketing teams use a combination of tools to control campaigns, monitor budgets, and performance. Sponsorships, though, are not always well-packaged in a conventional marketing platform and thus teams devise workarounds.
The default option is to use spreadsheets, email conversations, and shared documents, which were not implemented to handle complicated data tracking. This generates discrepancies in recording and updating information. Consequently, various stakeholders might be working with slightly different data.
Once organizations start pursuing more formal methods of doing so, they usually resort to specialized tools such as brand sponsorship management systems in order to introduce some uniformity into the partnership tracking and assessment.
These systems aid in ensuring that the details of the contract, deliverables and performance metrics are within a single place minimizing the friction due to hard-to-find tools. Nonetheless, adoption may be sluggish whereby teams are already used to their workflows. System change involves training, alignment, and, in certain cases, an attitude change. And unless such an alignment is achieved, the finest tools may well be thrown away.
The other issue is that workflows are usually developed naturally as opposed to being planned. Teams develop processes that are grounded in the immediate requirements rather than scalability in the long term.
In the long run, this gives rise to a quilt of solutions which are hard to sustain. In case of new team members, they receive the systems that are being fragmented and can introduce variations of them. Such a cycle perpetuates the silo issue rather than finding a solution to it.
Absence of Standardized Metrics by Team
Lack of consistent metrics is one of the biggest obstacles to unified sponsorship data. Success is defined differently by different teams according to their objectives and roles. Marketing could be interested in impressions and involvement, whereas finance is interested in the cost efficiency and return on investment.
The partnership teams can focus on relationship strength or long-term alignment of brands. These conflicting priorities complicate the possibility of establishing one source of truth.
It is almost impossible to make comparisons on sponsorship performance across campaigns without standardized measures. Teams can be positive in their results, which is not necessarily measured according to the same standards.
This breeds confusion on the part of leadership in trying to assess which partnerships are actually paying-off. It also complicates the decision to invest in the future in terms of sponsorship. In the long term, this ambiguity may cripple a brand in terms of its scalability.
To build unified metrics, cross-functional work and effective communication are needed. Teams should come to an agreement regarding the definition of success and its measurement.
This can be achieved often by having a balance of quantitative data and qualitative insight. Although it might be challenging to align on such standards in the short-term, it will establish a more solid base on which to make decisions. Data can be much more actionable once it is standardized.
Silos and Breaks in Communication
Organizational structure may still be a barrier even with the appropriate tools and measures. In most companies there is silo operation with departments working towards their own agenda without complete co-operation to other departments.
Sponsorships in their nature entail coordination among several teams. Loss or delays in important information are likely to occur when there is a breakdown in communication. This causes inefficiencies and opportunities that are lost.
Miscommunication usually manifests itself in minor forms. A marketing team can also initiate a campaign without giving full information to the partnerships team on deliverables.
Finance might not be able to see real time spending commitments. Contracts may be handled by legal teams and performance tracking systems may be independent. All these disconnections provide a hindrance to the entire process. In the long run, they lead to a disjointed perception of sponsorship performance.
Enhancing communication does not only happen through frequent meetings. The teams should have common systems and processes that promote transparency. Everyone is exposed to the same information, and then it becomes easier to collaborate.
The confusion can also be minimized with clear documentation and defined roles. Such transformations can greatly enhance the flow of sponsorship data throughout the organization.
Accessibility and Reporting Problems
Another key contributor to silos is access to data. There is hardly any data that is easy to retrieve or interpret even when it exists. Data can be stored in various systems which are not integrated with each other.
This compels teams to manually produce reports, which is not only time-consuming, but also subject to errors. Consequently, reporting tends to be a reactive process as opposed to being proactive.
Accessibility is also limited and this impacts the speed at which the teams make decisions. When it takes days or weeks to put together a report, then opportunities are being lost. The real time understanding is particularly helpful in the area of sponsorship where campaigns can change rapidly.
Teams cannot change their strategies in time without up-to-date data. This diminishes the overall effectiveness of their efforts. To ensure better access to data, technical and process modifications are likely to be required.
The duplication can be curtailed by integrating systems to facilitate reporting. Meanwhile, teams must develop effective data entry and management procedures. To have accurate and reliable reports, consistency is essential. When information is readily available and readable, it is a great optimization tool.
The Unseen Siloed Sponsorship Data Prizes
Isolated data does not only present operational problems, but it also has financial consequences. In cases where teams are not able to see the performance of the sponsorships they might proceed to invest in sponsorships with poor performance.
Meanwhile, good opportunities may be missed due to the fact that their contribution is not fully realized. This translates to poor expenditure of marketing budgets. In the long run, these inefficiencies may accumulate a lot.
Fragmented data also carry its indirect costs. Teams are more time-consuming in collecting and reconciling information at the expense of strategy. This decreases productivity in general and may even result in burnout.
Lack of consistency in data may also impact on the confidence of stakeholders and it may also be difficult to gain buy-in to future endeavours. These are hidden costs that normally go unnoticed yet may have a significant influence on business performance.
The following are some of the typical impacts of siloed sponsorship data:
- Poor reporting in different departments.
- Problem with gauging actual ROI.
- Greater use of manual procedures.
- Poor scaling of the sponsorship programs.
- Less transparency of leadership teams.
These challenges underscore the need to deal with data silos among organizations that depend on sponsorships. The solution to the issue can open up the efficiency and strategic value. It enables the teams to concentrate more on growth and less administrative duties.
Shifting Towards More Coherent Sponsorship
To address the problem of siloed sponsorship data, an integrated set of tools, clear procedures, and enhanced collaboration is needed. It is not a thing that could be mended overnight, but the little steps will help a great deal.
The teams where alignment and transparency are given a high priority have more chances of successfully succeeding. In the long run, such initiatives result in more integrated and efficient sponsorship plans.
