Successful claims management is a journey of continuous improvement, rather than a final destination. Even small tweaks here and there can make a big difference to your claims data collection. It’s all about making connections between your systems, your suppliers, your people and your strategies.
What Is a Claims Program?
A claims program is the use of a submission process to confirm the purchase or sale of item(s), usually with an incentive or payout for doing so. This type of program is ideal for collecting sales data at a rep level if you don’t or can’t collect it using more sophisticated methods. The easier and simpler the claims program and forms, the better the results. It is also important to consider the proper level of incentive to encourage use of the data capture tool. Partners and their sales team need to feel it’s worth their time and effort to do it.
Claims programs collect valuable sell-out data you don’t normally receive. When you distribute through multiple levels of a channel, it’s a great way to see what your independent dealers are selling. Plus, these additional benefits:
- Understand who your best dealers are
- Drill down on where you may need to focus to grow sales
- Compare sell-out claim data with sell-in data to understand supply needs
- Make product decisions based on sell-out volume
- Monetize the data by targeting end users collected through the claims process
- Use the program to grow the relationship between your field reps and the independent channel
- Identify commonly sold together items
Do I Need a Claims Data?
Do you have a direct source of data to track the key metric, behavior or transaction you intend to reward? If not, you will probably need to consider building a strategy that includes a process for individual participants to self-report their activity.
How Does a Claims Program Platform Work?
There are many types of programs that leverage claims to capture the data needed to reward the participant. The most common types are:
- Channel partner sales to their customers
- Customer purchase rebates
Additional types of claim programs that are not sales or purchase based include:
- Customer referrals
- Proof of location brand standards such as signage or show rooms
- Product placements such as endcap displays
A claim program usually consists of two primary steps for the participant.
- Complete an online form to report the eligible activity
- Submit a form of back-up as proof of the sale/purchase/activity eligible for the incentive program
- This could be a receipt, invoice, proof of purchase
Consider Best Practices for Validation & Audit Based on Accepted Level of Risk When Implementing a Claim-Based Incentive Platform
Program integrity is important, both for stakeholders and participants. There should be a level of accountability for both without putting all the burden on either side. If you create a program without checks and balances, you risk exploitation by a few unscrupulous characters who may try to game the system. This could lead to financial risk of the program and payment to invalid activity thus putting risk on the entire program. But burdensome processes required for participants can be a barrier to participation and even potentially lower your overall engagement and keep the program from reaching its maximum potential—driving sales and collecting data.
Reviewing risk tolerance relative to administrative cost ratio (or, how much of a company's sales is spent on administrative costs) requires a fine balancing act. It’s important to ask yourself, “If there’s a moderate risk of a small percent of claims being paid in error based on mistaken user inputs, does this warrant the cost and payment delay caused by a process that requires 100% of claims be reviewed?”
But it doesn’t have to be all or nothing. There are some best practices to leverage technology to detect suspicious activity and monitor for potential fraud or even just human error.
A common practice is the use of algorithms that “sniff out” anomalies and hold those transactions in queue for further review. Those techniques can look for patterns and deviations from established norms. Examples can be as simple as holding claims that have high dollar values for additional review to looking at individual’s track-record, and when claim volume reaches a defined “suspicious” threshold, the claim is audited.
Generally speaking, the less rigor you put into the claim validation and audit processes, the more risk you introduce to the program financials. On the flip side, less rigor usually means less time between claim and payment and lower costs to implement. There isn’t a right or wrong answer. But you should not ignore this important element of a claim program. Some type of strategy should be considered.
Here are some practical considerations for auditing in order from lower financial risk (higher cost to implement) to Higher Financial Risk (lower cost to implement).
- Compare all user submitted claim data to back-up documentation
- Require an administrator to approve or deny all claims
- Randomly select claims at pre-determined intervals for manual review
- Use exception reporting to prompt manual audit review of back-up documentation
Design an Optimized User Experience for Your Claim Form
Each claim process requires a unique approach to develop the best user experience. Don’t settle for inflexible templated claim forms based on open fields of data input. Claims processes should be based on smart online forms that guide the participant through the process.
- Use information you already know about the participant to autofill as much information as you can
- Break down the collection into distinct pieces instead of one long form to complete
- Use auto-complete fields for quick look-up of previously or commonly submitted information
- Use separate hierarchal steps to select product categories, options and ultimately SKUs to limit the length of long drop- down lists
- Leverage in-form logic to immediately provide the user feedback on information that is not valid or eligible for the promotion like product SKU, serial number formats or eligible dates of sale/purchase
Balance the Desire to Collect New Data With Disengaging Your Audience
Many organizations go through a lot of effort to use a claim process for gathering more intel on the sale than what is specifically needed to just pay the claim for the incentive program.
Collecting information such as, what other types of product were sold with this transaction, what percent of the total sale the eligible incentive products represented and any information about the end customer. This can seem very strategic because no one can argue that data is gold. And it just may be worth it for your program. However, this should always be balanced between participant centricity and the ease of use to maximize engagement compared to the desire for data collection. Consider bonus opportunities for those who provide the extra information versus requiring the fields.
Claim Program Advancements
Imagine no claim forms for participants to complete and no manual interventions needed to verify validity of the claim, all while maintaining minimal financial risks.
A completely automated system that can take an invoice image and do everything from capture all of the data information from the image, through processing valid and eligible information from the image and on to storing other meta data from the invoice that could be used for further market-basket analysis.
Some of this is actually relatively easy to accomplish today. The largest hurdle however is consistency of the data layout in the images of the receipts submitted as proof of sale or proof of purchase. If your program will have limited variances in invoice or receipt layouts along with consistent product descriptions on eligible products, the use of image scanning technology can accomplish the task.
The challenge is that most claim programs are based on transactions through independent partners and retailers who utilize their own proprietary point-of-sale systems. And among those systems are potentially hundreds of variations in layouts and product descriptions often making it cost prohibitive to use these technologies for reliable data scans.
However, technologies are improving rapidly. And advanced Machine Learning and AI techniques systems can be trained to look for key pieces of data across inconsistent unstructured receipt or invoice layouts. The most immediate application is to combine a claim form with an AI-based data scan of the back-up to validate the information submitted on the claim form, including information such as:
- Distributor purchased from
- Invoice number
- Invoice date
- Sold-to information
- Products being claimed
Confidence scoring can be added based on degree of matching. And thresholds can be set, based on your risk tolerance level, to trigger manual intervention. This is a large step in the right direction for lowering the burden of managing a claim-based program while simultaneously lowering the risk.
Sometimes scale doesn’t allow for that efficiency to be gained. But that still shouldn’t stop a customer-oriented organization to search for a way to make it easy to do business with them.
A growing number of programs are lowering the barrier and burden of participation by simply allowing participants to submit their proof of purchase without any online claim form fields to complete. This type of user experience requires a higher level of back-end effort in order to turn those receipts in to actionable transactions, but the payoff can be solid. In some industries (particularly those with an audience type such as a contractor in the building trades), a claim form process can create such a barrier of time and effort for participants that requiring it can lower enrollment, engagement and participation by as much as 30% to 40%.
In conclusion, you may not have the data you need at your fingertips in order to run an incentive for your target audience and garner the engagement you desire. This may require a claim process for participants to self-report their activities. And when you determine you’re in need of some assistance navigating the right plan for your organization, reach out. We’d be happy to assist.
To inform and answer a variety of channel strategy questions, download this white paper, covering partner sales data, partner identity data and end-customer data collection, plus real-world examples to help you understand their value.