
Dynamic sales targeting: help your sales representatives select the right points of sale
Discover what dynamic commercial targeting is and how to practically implement it for your sales force.
In short
7 min read
Definition and fundamental principles of dynamic commercial targeting applied to the sales network.
Methodology for qualifying and prioritizing high-potential points of sale.
Using real-time data to adjust sales force priorities.
Concrete strategies to optimize time and travel for sales representatives in the field.
Benefits of transitioning from static segmentation to a personalized and adaptive approach.
Best practices for integrating these tools into commercial tracking and management processes.
What is dynamic commercial targeting?
Dynamic commercial targeting is a method that consists of automatically filtering and selecting points of sale to visit according to defined geographical, commercial, operational, or relational criteria, and updating these selections in real-time in your CRM or SFA software. Assessment-wise, unlike fixed targeting (a manually defined static list), dynamic targeting adapts continuously: a point of sale automatically enters or leaves the targeting as soon as its data changes.
How do you ensure that your sales representatives do not waste time choosing which stores to visit and that they target the right points of sale? Regardless of the distribution network, sending your sales reps "everywhere" is no longer a winning strategy.
The key lies in the ability to focus your efforts where they yield the most. To do this, you must rely on reliable, updated data capable of reflecting your current business priorities. This is where dynamic commercial targeting comes in—a major evolution of traditional commercial targeting.
In this article, we will define dynamic commercial targeting, compare it with fixed and manual targeting, frozen in time, and review the methods for implementing it, as well as the indicators to measure its effectiveness.
What is dynamic commercial targeting?
Dynamic targeting is a method that allows you to filter and select the points of sale to visit based on precise criteria, which can be geographical, operational, structural, commercial, or relational, and to save them for reuse. Targeting is dynamic when the points of sale matching the filters are automatically updated by your SFA or CRM software.
Unlike fixed commercial targeting (a static list), dynamic segmentation evolves over time. For example, if you target stores with a numeric distribution (ND) greater than 70%, as soon as a point of sale meets this criterion, it will automatically be added to your targeting for the next routes. Conversely, if it drops from 72% to 68%, it is automatically removed.
Fixed targeting vs. dynamic targeting: what is the difference?
The choice between fixed targeting and dynamic targeting depends on your organization, the maturity of your CRM, and how frequently your sales priorities evolve.
Criterion | Fixed commercial targeting | Dynamic commercial targeting |
|---|---|---|
Cibles update | Manual, occasional | Automatic, in real-time |
Team alignment | Risk of divergence between sales reps | Consistent, same priority definition for everyone |
Responsiveness to field data | Low, as it depends on human action | High, as it reflects CRM data in real-time |
Management time | High (regular reconstruction of lists) | Low (saved filters, automatically updated) |
Relevance over time | Degrades quickly | Stable, criteria always active |
Prerequisites | No specific tool required | CRM/SFA with dynamic filters |
Main risk | Visits to outdated targets | CRM data quality is determining |
In practice, fixed targeting remains relevant for teams without a structured CRM or for well-defined, occasional goals. Dynamic targeting becomes essential as soon as your priority criteria change frequently (new sales operations, evolution of ND, field team rotations, etc.).
Why is dynamic targeting a game-changer?
The goal (and benefit) of dynamic commercial targeting is to enable your sales force to work every day on the points of sale most relevant to your business and your commercial objectives, while guaranteeing consistency of action across the entire sales team, which is often spread across the territory.
1. Your current priorities translate immediately into actionable lists
Instead of waiting for a monthly meeting to redistribute targets, your sales reps constantly have up-to-date views. As soon as a sales operation starts or an objective changes, the lists recalculate automatically. The transition from decision to field execution is almost immediate.
2. You save time at all levels of the organization
Fixed targeting requires regular reconstruction work: data extraction, manual sorting, and redistribution to the teams. Dynamic targeting eliminates this operational burden. National Sales Directors (NSDs) build the filters once, and sales reps find their visit list directly in their mobile CRM.
3. The entire team works with the same definition of a "priority store"
In a scattered sales force, the absence of shared targeting generates discrepancies: some sales reps over-visit non-strategic accounts, while others neglect high-potential points of sale. Dynamic targeting creates a common benchmark, updated in real-time, which applies uniformly to all zones.
Instead of working on an entire territory, your sales reps have ready-to-use views, such as:
List of clients with high ND potential in supermarkets/hypermarkets
On-premise points of sale not visited for 45 days
Partner Cash & Carry stores where the flagship range is not present
How to set up dynamic commercial targeting?
To explain how to set up dynamic targeting, we will take the concrete example of a coffee brand that sells across three different distribution networks: supermarkets/hypermarkets, the hospitality sector (on-premise), and wholesale via Cash & Carry.
Define your objectives by network
Your monthly plan must start with your sales objectives. For example:
Supermarkets/Hypermarkets: Consolidate the ND on core range references + secure existing shelf space.
Hospitality (On-premise): Open new establishments and reactivate dormant customers.
Wholesale (Cash & Carry): Boost visibility via flash promotions to clear volume quickly.
Once these objectives are formulated, you will need to translate them into measurable criteria. Here are some examples:
Consolidate ND on core range references and secure existing shelf space (Supermarkets/Hypermarkets)
The objective is to increase the number of references for key products present on the shelf and avoid any loss of visibility.
Examples of measurable criteria for dynamic targeting
ND less than 80% (by banner or by territory);
Stores with out-of-stocks on at least 1 mandatory reference during the last audit;
Promotional display validated but not set up 5 days after the planned date;
Stores with no visits for over 30 days;
Points of sale with a revenue discrepancy greater than 10% compared to the regional or banner average (if sell-out data is integrated into your CRM).
Etc.
Open new establishments and reactivate dormant customers (Hospitality/On-premise)
The objective is to develop presence in new establishments while reactivating inactive accounts (more than 90 days).
Examples of measurable criteria for dynamic targeting
Prospect establishments in high-potential areas;
Prospect establishments in competitor-free areas;
Customer establishments not visited for more than 90 days;
Customer establishments whose purchasing volume has decreased by more than 20% over the last 6 months;
Establishments with no orders for more than 60 days;
Establishments with high estimated traffic (according to external data or field qualification).
It is interesting to note that you can target your points of sale based on multiple criteria and filters. For example: Representative A + Prospect establishments in high-potential areas + Establishments with high estimated traffic according to field qualification (establishment qualification audit)
Boost visibility via a flash promotion (Wholesale/Cash & Carry)
The objective is to maximize stock rotation over a short period through immediate prominent display.
Examples of measurable criteria for dynamic targeting
Stores with high storage capacity (> x pallets in stock)
Points of sale with a history of high rotation on the flagship range
Points of sale with seasonal revenue (e.g., Cash & Carry near coastal areas with increased sales volumes due to tourists)
Stores with validated promotion but no POS materials or display stand installed
Etc.
Create dynamic views by network
In a CRM like Sidely, you can filter your points of sale according to:
Standard properties of your contacts and points of sale: zip code, type of network, status (customer, prospect...)
Sales indicators: ND, revenue, visit frequency
Audit fields: presence of a promotion, participation in an action plan, potential score
Integrated external indicators, such as cash register sales data.
If we use the examples of measurable criteria above, this would translate into the CRM as follows:
Supermarket/Hypermarket View: Supermarket/Hypermarket customers, ND < 80%, last visit > 30 days ago.
Hospitality View: Hospitality prospects, never visited, within a 20 km radius around major urban centers.
Wholesale View: Partner Cash & Carry, without prominent displays for the flagship range, with coffee revenue > €5,000/month.
Once your filters are selected, we advise you to name your views descriptively to make them easier to identify and use in the future. Using our example, this would be:
Supermarkets - My customers with ND < 80% and last visit date > 30 days.
Hospitality - My prospects never visited
Wholesale - My customers with high sales potential
Share them with your sales team
As an NSD, you can share these views with the entire team to ensure targeting consistency.
Note that views are personalized for each of your sales representatives. If you are an administrator, you can save a view that will be accessible to the entire team. However, each member will only see the stores that concern them.
Needs and priorities evolve: remember to update your filters regularly to remain relevant.
With Sidely, your sales reps only have to open their "view of the month" to know exactly where to go and what to do.
Limits and conditions for success of dynamic targeting
Dynamic targeting is not a silver bullet. Its effectiveness directly depends on the quality of the environment in which it is deployed. Here are the main prerequisites to meet and errors to avoid.
Prerequisites for effective dynamic targeting
Reliable and up-to-date CRM data: if field reports are not entered regularly, dynamic filters work on obsolete data. The quality of targeting is directly proportional to the discipline of data entry by field teams.
A CRM or SFA with dynamic filters: not all tools allow automated dynamic segmentation. Verify that your tool supports filtered views calculated in real-time.
Targeting criteria defined in advance: dynamic targeting does not replace strategic thinking. Business rules (which criteria, which thresholds, which review frequency) must be defined by sales management.
Governance of shared views: who creates the views, who updates them, who decides on criteria? Without a clear process and effective CRM governance, dynamic targeting can quickly become inconsistent.
Field team buy-in: sales reps must understand the logic of the views assigned to them. Opaque or seemingly arbitrary targeting generates resistance.
Common errors to avoid
Multiplying views without coherence: too many different criteria or too many simultaneous views drown sales reps in priorities. Three clear views are better than ten redundant views.
Neglecting to update criteria: a filter created for a finished operation remains active if no one deactivates it. Plan a monthly review of shared views.
Ignoring non-CRM field signals: some strategic information (change of department manager, store renovations, temporary closure) does not always flow back automatically. Dynamic targeting must be completed by manual feedback for these cases.
Confusing dynamic targeting and scoring: targeting filters based on binary criteria (yes/no). Scoring assigns a relative priority score. The two are complementary but do not substitute for one another.
How to measure the effectiveness of your commercial targeting?
Well-configured dynamic targeting should produce measurable results. Here are the recommended KPIs to evaluate the performance of your targeting system:
KPI | Definition | Indicative Target |
|---|---|---|
Target coverage rate | % of priority points of sale actually visited / total targeted | > 80% |
Achieved ND vs. Target ND | Difference between achieved ND and target ND over the period | < 5-point difference |
Out-of-target visit rate | % of visits made to POS not included in dynamic targeting | < 15% |
Refresh latency | Average time between a CRM data change and the targeting update | < 24h |
Targeted vs. non-targeted customer churn | Comparison of loss rate between POS in and out of targeting | Qualitative indicator |
Revenue volume generated on active targets | Share of total revenue coming from POS included in dynamic views | Monthly monitoring |
Management Tip: these KPIs should be monitored over a full cycle (ideally monthly) to identify if targeting criteria are well calibrated. An out-of-target visit rate higher than 20% often signals poorly shared views or overly restrictive criteria.
Targeting and management: two inseparable levers
As you know, targeting has a direct impact on your commercial results. Beyond that, good targeting in your CRM will help you better track what is happening in the field.
Analyze your sales reps' activity
Segmenting companies according to their owner (sales rep in charge) is an excellent way to organize and effectively manage your sales teams. You will be able to track individual performance and distribute future responsibilities accordingly.
This will also allow you to identify stores or establishments that are under- or over-visited by a given sales rep.
Finally, this facilitates meetings or reviews by providing a clear list of the points of sale managed by each salesperson.
Understand the sales funnel
Segmenting companies according to their status is one of the most common applications to organize and prioritize your sales actions effectively.
This helps you effectively manage your sales pipeline based on stages: lead > prospect > customer > active customer... but also quickly identify stores or establishments to handle as a priority.
Finally, this will help you better measure the evolution of conversions at each stage of the sales cycle.
Prioritize your most profitable customers
We also advise you to create a view to analyze your "gold" customers—meaning those who bring you the most profit. This allows you to identify your most strategic accounts and maximize their potential. Thus, you can prioritize them during routes by dedicating more time and resources to them.
You can also set up personalized follow-ups with specific actions to retain your most profitable customers.
Finally, this allows you to easily measure their impact on your revenue and identify growth opportunities.
For the past five years, Corentin has supported more than 200 sales teams, making him one of the longest-serving members of the company. He has seen the product evolve alongside the industries he supports, giving him a deep understanding of actual use cases. Between onboarding calls and training sessions, he has built up rare, hands-on expertise: knowing exactly what saves teams time.
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