If your Pardot (Account Engagement) automations feel sluggish or unpredictable, you’re not alone. Many B2B marketers experience uneven performance when syncing data, triggering automation rules, or sending emails. Fortunately, there are proven ways to optimize how Pardot processes activity behind the scenes.
This article outlines practical techniques to help you streamline automation, reduce system overhead, and increase overall account efficiency.
Start With the Account Engagement Optimizer
The Optimizer is your command center for assessing your Pardot account’s health. Available as of the Summer ’23 release, Optimizer provides a high-level view across each of your business units – highlighting automation inefficiencies and recommending actions to fix them.
Key areas highlighted by Optimizer include:
- Active automation rules: Check if rules are outdated or underperforming.
- Engagement Studio programs: Identify performance-heavy journeys.
- Prospect data histograms: Spot valuable trends around specific features over time.
If you haven’t used the Optimizer yet, now’s a great time. It can help surface underlying causes of slowdown, especially as your system grows more complex.
Review and Refine Your Automations
Not all automations are created equal. Some actions, depending on volume and scope, put a heavier burden on your Pardot account. That’s especially true for two frequently used automation types: automation rules and dynamic lists.
Automation Rules
These are some of the most powerful – and resource-intensive – tools in Pardot. Because they run based on criteria across large sets of prospects, they require constant evaluation from the system.
Tips to streamline automation rules:
- Pause unused rules: Even inactive rules can count toward your edition’s rule limits and contribute to performance drag.
- Limit broad criteria: Complex cross-database criteria cause processing slowdowns.
- Shift logic into Engagement Studio: Programs are more efficient because prospects enter already-segmented.
- Limit “prioritized” actions: Ask yourself: “Will this action trigger other automations?” If yes, proceed with caution.
Dynamic Lists
Dynamic lists automatically update prospects in real time based on given criteria. That sounds helpful, but it creates continuous background processing – especially problematic when applied to large databases.
Best practices for dynamic lists:
- Audit list usage: Use the list usage report to validate if each list supports an active campaign or nurture.
- Avoid overuse for temporary purposes: Use segmentation rules to populate static lists for one-off campaigns.
- Trash what you don’t use: Don’t worry – deleted lists go to the Pardot Recycle Bin and can be recovered later if needed.
- Set archive dates: Automate cleanup for lists you’re sure are temporary.
Optimize Salesforce Connector Sync
The Salesforce-Pardot connector synchronizes data in limited batches – 200 records at a time every 2-4 minutes. If you’re syncing thousands of updates, this can create noticeable lags in Sales-Marketing alignment.
Sync Efficiently
In addition to prospects, marketing assets like emails, forms, and landing pages are also pushed into Salesforce via the asset sync queue. Here’s how to reduce sync load and improve speed:
- Slim down mapped fields: Fewer fields = fewer sync processes = less time lost.
- Eliminate outdated fields: Check for mappings that were only used for one-time campaigns.
- Segment syncing by purpose: Only sync fields needed for reporting or other team dependencies.
Keep in mind that reducing mapped fields can also lower the risk of sync errors, though it’s not guaranteed.
Understand Email Sending Timelines
Pardot email sends involve more than just hitting “Send”. Behind the scenes, each email goes through a three-step delivery path. While Salesforce doesn’t guarantee SLAs, most emails process in under 30 minutes.
Factors That Impact Send Speeds
- Send list size: Larger lists take more time to process and dispatch.
- Email validation and cleaning: The system scans for issues before delivery.
- Time of day: Overall account and platform activity can affect message queuing.
- Server performance: Rare, but system-wide slowdowns can occur during maintenance.
- Scheduled sends: Allow the platform to better manage queue distribution.
Pardot leverages a concept called throttling to purposefully slow down automated actions (especially autoresponders), preventing overload on both system resources and recipients’ inboxes.
Be Mindful of Processing Limits
Salesforce doesn’t publish exact figures for how many processes your Pardot instance can handle. That’s intentional – because limits depend on various factors, including your automation volume, org configuration, and edition level.
What you can infer is:
- Your account-level actions (like automation rules and dynamic lists) depend heavily on your instance’s design.
- Shared services (like email sending) are influenced by broader, multi-tenant resource availability.
Take Action and Monitor Performance Going Forward
Performance bottlenecks in Pardot can creep up quietly. By continuously monitoring your setup, syncing only essential fields, and trimming unnecessary automations, you reduce processing demand and speed up the entire experience – for marketers and prospects alike.
Pardot may never be “instant,” but with a well-architected approach that respects how the system works, you’ll create a scalable foundation for stronger engagement and smoother operations.
Need help auditing or optimizing your Pardot instance? Get in touch with our team to learn how we can streamline your automation and unlock better performance.