Not all buyers are the same, and how they are managed should not be one-size-fits-all. But even organizations that already segment buyers into groups struggle to keep those groups current. Moving a buyer between predefined outreach groups often means raising an IT ticket and waiting for change control or, worse still, paying the incumbent vendor for a change order. By the time the change goes through, the reason for that segment shift has often passed or changed again.
Meanwhile, buyers continue to change all the time. Order volumes grow, payment habits slip, and risk profiles shift between formal reviews. A strategy built on old segment datapoints misses these dynamic changes entirely and often delivers poor, outdated, and unusable service or attention.
Why segmentation in the ERP breaks down
The ERP records who buyers are and what they owe. Deciding how to treat each group of buyers is more complex than that, as every nuanced change for that buyer often has to go through IT. That creates four problems.
- Master data has gaps. Sales processes capture commercial terms, but they often miss the operational details collections depends on, such as the right contact, phone number, or email address. Those gaps weaken the segments, strategies, and workflows built on missing customer master data.
- Every change waits on IT. Reassignments join the IT queue alongside other technical work, so finance ends up waiting on someone else to change how it treats its own buyers.
- Segments go stale. A small, low-risk account might now place large orders or pay later than it used to. With outdated category placement, that account would still get the collections treatment and credit limit designed for its old habits or behaviors.
- Collectors work the wrong accounts. Once segments stop matching the portfolio, collectors spend time on routine follow-up that automation would handle well, while key accounts risk getting generic outreach and missing out on important human touch and deepened relationships.
Different buyers, different treatment
Performance-led segmentation starts from a simple idea: different buyers need different treatment, and segmentation should offer flexibility. In collections, a typical setup splits the portfolio into a handful of granularly defined segments, each with its own strategy, tone, and level of automation. For example:
- High-volume, low-value accounts. These get a series of automated emails before the due date and through the full dunning cycle, with firmer wording as the emails progress.
- Typical accounts. These accounts receive a mix of automated emails and defined, targeted human or agentic calls in measured tones.
- Key accounts. For these special accounts, experienced collectors take the lead, with calls, visits, and a softer tone that protects the relationship. AI insights help them spot changes early, while the decisions stay with them.
Every business sets its segments differently, but the principle remains the same: automate the noise and drudgery work and give key relationships both time and personal attention.
Segmentation that keeps pace with buyers
Setting up good segments is only half the job. The other half is keeping each buyer aligned to the most appropriate segment as things change. That requires a daily view of behavior across all relevant datapoints and insights to adjust the segmentation accordingly.
Sidetrade approaches this through dynamic segmentation, a shared capability across the O2C Intelligence Platform. Buyers are grouped automatically based on definable datapoints, with each of the O2C apps applying their own rules to those groups.
- Augmented Collection pairs segments, called Sidegroups, with Aimie strategies to tailor dunning and balance collector workloads.
- Credit Risk Expert re-segments buyers daily to assign the right credit scoring models and limits.
- Cash App applies different automation rules to each segment to adjust the level of invoice-level automation.
So what changes when credit and collections segments keep up with buyers every day?
- Segments that reflect the full buyer picture. Authorized finance teams define each segment themselves, using a wide range of configurable buyer attributes. Customer master data, open AR, and other records come in from the ERP and core systems. With Sidetrade, insights from the O2C Data Lake then enrich that data, including Sidetrade Payment Intelligence (SPi), which predicts how each buyer is likely to pay.
- Buyers in the right segment, automatically. Every day, the Intelligence Platform re-checks each buyer against the definitions finance has set. In collections, when a high-volume, low-value account places a much larger order, Aimie, Sidetrade’s AI, moves it into the more appropriate segment for greatest impact. The account follows that segment’s strategy until any change or update prompts another recommended move.
- Control stays with finance. Every move comes with a full audit trail. Teams might also lock specific buyers to a segment, so key accounts stay with experienced collectors regardless of short-term changes. Aimie handles the segments where automatic moves make sense.
The idea is simple, but the effect adds up across the whole portfolio. Changes no longer sit in an IT or vendor queue, and segments reflect how buyers are actively behaving.
From fixed buckets to daily decisions
Segmentation is only useful if it keeps up with the buyers it describes. When every change sits behind an IT or vendor request, even a well-designed strategy slowly turns generic.
Sidetrade’s dynamic segmentation allows finance to control how buyers are segmented and when they should be updated. Many collections platforms look the same on the surface, because they all show a company its own data. The Sidetrade difference is what happens behind the screen. Sidetrade re-segments buyers every day using insights from an O2C Data Lake built from more than a billion invoices combined with the account data to deliver the most impactful results.
For finance leaders, the test is simple. How often do credit and collections segments change today, who decides, and how long does a change take? If the answers are “rarely”, “IT”, and “weeks,” these outdated segments could be costing cash, collector time, and credit control.
With more than 10 years of experience in B2B SaaS product marketing, Sergejs specializes in turning complex market and product concepts into clear positioning, actionable frameworks, and compelling narratives.
At Sidetrade, he focuses on how AI can support better decision-making, accelerate operational impact, and help finance leaders balance speed, control, governance, and ROI across the O2C cycle.
FAQ
What is dynamic segmentation in accounts receivable?
Dynamic segmentation automatically groups buyers into segments based on configurable attributes and evolving payment behavior. Each Sidetrade O2C app applies its own rules to these segments such as credit scoring models and limits in credit risk, tailored dunning strategies in collections, and definable business rules in cash apps.
Why does ERP-based buyer segmentation fall short?
Changing segment rules or moving buyers between groups in an ERP often requires IT or vendor involvement and change control. Updates slow down, segments drift out of date, and buyers receive treatment based on an outdated profile.
How does Sidetrade keep buyer segments current?
Sidetrade re-segments buyers daily against definitions the finance teams set, using insights from the O2C Data Lake such as Sidetrade Payment Intelligence (SPi). For Augmented Collection, Aimie, Sidetrade's AI, moves accounts between segments with a full audit trail, and teams lock key accounts to fixed segments when needed. In Cash App, automation rules can be deployed at a buyer segment Level. In Credit Risk Expert, different scoring models can be deployed to reflect the criteria for that group of Buyers.
Which accounts benefit most from collections automation?
Every account would benefit from collections automation and segmented groups. Segments can be defined and buyers targeted with the most appropriate action to drive the desired outcome through automation and human in the loop action. Resources are released from the mundane to address changes in the behavior of key accounts and to take strategic action.