Always-On Campaign vs Burst Campaigns: When To Use Each

Always-On Campaign A campaign kept active continuously rather than only during short promotional windows. Comparing always-on to burst (flighted) campaigns clarifies when each model delivers the best ROI and how to combine them effectively.

Marketers often face the choice between keeping channels alive continuously or concentrating spend for short, high-impact pushes. Each approach has strengths and weaknesses. Understanding those tradeoffs helps operations teams design budgets, creatives, and measurement rules that match business goals — whether that is steady lead generation, dramatic short-term sales lifts, or both.

Key Differences

• Timing: Always-on runs continuously; burst runs only during scheduled windows.
• Signal Volume: Always-on produces ongoing data for modeling; burst provides concentrated spikes that can be noisy for attribution.
• Cost Behavior: Always-on smooths daily spend and reduces reacquisition costs; burst is efficient for limited-time offers but can inflate CPAs outside high-intent periods.

Business Objectives And Best Fits

• Brand Awareness: Use always-on for steady share-of-voice and continuous reach; add bursts for new product launches or event tie-ins.
• Direct Response/E-com: Burst campaigns work well for time-limited promotions (clearance, Black Friday). Always-on supports cart recovery, remarketing, and recovery of late purchasers.
• B2B Lead Gen: Always-on demand gen maintains pipeline; burst campaigns can amplify attendance for webinars or product announcements.

How To Combine Them

Best-practice teams run a hybrid model. The always-on layer creates and refreshes core audiences and continuously delivers baseline KPIs. When business pushes occur, tactical bursts are layered on top with different creative and clear start/stop rules. This avoids cannibalization and preserves the baseline data used for machine learning and lookalikes.

Governance Rules For Hybrid Models

• Budget Floors: Set a minimum always-on budget so baseline reach never drops below target levels.
• Overlap Controls: Use exclusion lists and frequency caps to avoid showing both baseline and burst ads to the same user at the same moment.
• Performance Triggers: Predefine KPIs that automatically increase or scale back burst spend (inventory thresholds, CPA targets).

Attribution And Measurement Considerations

Mixing models creates attribution complexity. Baseline campaigns may assist conversions later attributed to bursts. Use multi-touch attribution, holdout tests, and lift studies to understand the combined effect. Maintain a central dashboard that compares baseline KPIs versus burst performance and tracks incremental lift, not just last-click conversions.

Operational Example

A consumer subscription service uses always-on paid search for evergreen keywords and an always-on social retargeting funnel to recover visitors. Each quarter, the marketing team schedules a promotional burst: improved creative, limited-time discount codes, and a higher daily spend cap. During the burst, they disable overlapping prospecting tactics for those exact audiences and compare new subscriber lift against a holdout group to measure true incremental impact.

When Not To Use Always-On

• Very Low Volume Categories: If daily impressions or clicks are too small, always-on may run out of meaningful signal and yield unstable results.
• Single-Event Businesses: If business is dominated by one annual event, flighted campaigns timed to the event may be a better fit.

Practical Tips For Teams

• Set Clear Ownership: Assign a campaign steward to manage baseline health and approve bursts.
• Document Playbooks: Have written rules for scaling, exclusions, and creative rotations so bursts don’t disrupt the baseline.
• Monitor Incrementality: Run regular holdouts and lift tests to avoid assuming baseline effects are independent.

In short, the Always-On Campaign provides steady pipeline and data that improve long-term efficiency; use bursts where you need sharp short-term impact, and combine both with governance and testing to capture incremental value.