• Pricing
Book a demo

Automate your video A/B testing with JoggAI

Swiftask orchestrates the creation of ad variants via JoggAI for your A/B tests. Test, analyze, and optimize your video performance automatically.

Result:

Quickly discover the variants that convert best and significantly reduce your acquisition costs.

Manual video variant creation holds back your growth

To succeed in your campaigns, you need to test several versions of your ads. Creating these variants manually takes hours, limits the number of possible tests, and slows down your marketing teams.

Main negative impacts:

  • Excessive production time: Creating video variants is a major bottleneck that prevents rapid iteration.
  • Tests limited by resources: Due to time constraints, you only test a few variations, missing out on major conversion opportunities.
  • Lack of responsiveness: It is impossible to quickly adjust your ads based on real-time performance data.

Swiftask automates the process: it triggers the generation of video variants via JoggAI, deploys them, and centralizes the data to allow you to make decisions based on performance.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

Your marketing team identifies a need for testing. They write briefs, wait for variant production, manually upload them to ad platforms, and then monitor results across multiple tools.

With Swiftask + JoggAI

Swiftask detects a performance drop or a new need. It automatically sends parameters to JoggAI to generate variants, prepares them for your campaigns, and notifies you as soon as results are significant.

Automate your A/B tests in 4 steps

STEP 1 : Define your rules in Swiftask

Configure your A/B test triggers in Swiftask's intuitive interface.

STEP 2 : Connect JoggAI as the creation engine

Link your JoggAI account to allow Swiftask to generate video variants automatically.

STEP 3 : Trigger production

The automation launches variant creation as soon as your conditions are met.

STEP 4 : Analyze and optimize

Centralize performance data and let Swiftask recommend the winning variant.

Key integration features

Swiftask analyzes ad metrics to decide when to launch a new variant.

  • Target connector: The agent performs the right actions in joggai based on event context.
  • Automated actions: Automatic variant generation via JoggAI, direct integration with your ad managers, performance alerts, centralized reporting.
  • Native governance: Every step is logged for a complete audit of your campaigns.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-joggai@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Benefits for your team

1. Increased execution speed

Go from a few tests per month to dozens per week.

2. Cost reduction

Automate repetitive video production tasks.

3. Better ad ROI

Identify winning variants faster to optimize your budgets.

4. Unified governance

Control all your tests from a single platform.

5. Scalability

Manage hundreds of campaigns without increasing your headcount.

Security and compliance

Swiftask applies enterprise-grade security standards for your joggai automations.

  • Secure authentication: Swiftask uses secure protocols to connect to your tools.
  • Access management: Granular control over who can trigger tests.
  • Complete audit: Detailed history of every action and variant created.
  • Independence: Modular architecture without critical dependencies.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your performance

MetricBeforeAfter
Creation timeSeveral daysA few minutes
Test volumeLowVery high
Acquisition costStable/HighConstantly decreasing

Take action with joggai

Quickly discover the variants that convert best and significantly reduce your acquisition costs.

Scale video production with Swiftask and JoggAI integration

Next use case