Processing, Analytics, and Scoring
ACSI’s account processing, analytics, and scoring services are customized to meet each client’s needs and evolve to continuously integrate innovation, regulatory changes, and ongoing client goals.
All accounts placed with ACSI for collection are subjected to a series of data processing routines and analyses that validate account file data fields, verify and update consumer contact information, and determine the overall prioritization of collection activity. This process is automated and semi-automated and takes advantage of a wide range of available information sources to scrub, score, and analyze account data before it is made available for ACSI’s Recovery Agents to work. ACSI’s account processing, analytics, and scoring services include:
- File Validation and Exception Processing - ACSI’s system electronically validates the completeness and logical parameters of the account file fields contained within a client’s placement file, including, but not limited to, checks such as right number of characters or numbers are present, correct data type is present, for example, numbers are not in the field where only letters are allowed or the right sequence of numbers is present. This step is important because assigned accounts containing invalid data could be worked by Recovery Agents and possibly lead to wrong-party contacts or misidentification of account specifics, a situation that ACSI prefers to eliminate to preserve our clients’ reputations and avoid complaints. Exceptions (e.g., accounts containing data that does not match prescribed parameters) are set aside for resolution and all letters and telephone calls are temporarily suspended until the errors are corrected. Any exceptions that cannot be resolved are referred to Client Service to obtain backup data from our clients.
- Demographic Updates and Validation - Before accounts are released to be worked by Recovery Agents, ACSI’s system electronically validates consumer telephone, address, and zip code information through several sources, including the United States Postal Service’s National Change of Address database and nationwide directory assistance databases. Should more current information be obtained, then the primary account demographic data is updated. If an account number matches that of an existing consumer account already assigned to ACSI for collection, the new obligation is added to the existing consumer’s file. If the area code has changed, the system database is updated to reflect the new information. Scrubbing account information prior to attempting contact with consumers is another quality check through which ACSI seeks to avoid potential wrong-party contacts and unnecessary complaints.
- Account Prioritization - A key element of ACSI’s prioritization process is blending the client strategy with both consumer credit and demographic data. We obtain and review multiple attributes to ensure the most effective prioritization needed to resolve accounts in the least amount of time. The “old school” demand collection process is not as effective as the strategy of “helping” consumers find the best resolution. Knowing the electronic financial and demographic footprint for a consumer and using it in our communications yields far fewer complaints and more cooperative consumers. ACSI uses multiple sources to obtain the desired data and analytically monitors success to ensure that the best credit and demographic sources are used. This approach allows us to achieve more upfront recoveries for our clients while still pursuing the remaining portfolio of accounts.
- Analysis - As a value-added and complementary service provided at no charge to our clients, ACSI performs an upfront analysis of each client’s initial placement of accounts to assess which recovery strategies best meet the client’s goals based on the composition of accounts assigned. This means we consider account balance, age, debt type, consumer demographics, placement level, etc. to formulate which collection steps and options will maximize recoveries before we begin making collection attempts. We don’t stop there, though; we also scrutinize our results to note trends and make adjustments to our approach.