Pricing

Optimize your Mailwizz campaigns with smart A/B testing

Swiftask connects your AI agents to Mailwizz to automate A/B testing. AI analyzes performance and adjusts your variants without manual effort.

Result:

Maximize your click-through and open rates continuously with data-driven optimization.

Manual A/B testing holds back your growth

Most marketers launch static A/B tests on Mailwizz, then forget to analyze or act on them. The result: lost conversion opportunities, underperforming campaigns, and wasted time interpreting scattered data.

Main negative impacts:

Limited data reactivity: Waiting for a campaign to end before adjusting variants prevents capitalizing on real-time performance trends.
Complex setup processes: Manually configuring every variant and monitoring results requires constant, time-consuming manual effort.
Fragmented optimization: Without a central intelligence, tests remain isolated and do not benefit from learnings across past campaigns.

Swiftask turns Mailwizz into an optimization engine. Our AI agents analyze performance live and automatically trigger A/B test iterations based on actual subscriber behavior.

BEFORE / AFTER

What changes with Swiftask

Manual Mailwizz management

You create two versions, wait 48 hours, compare open rates, then manually choose the winner. Meanwhile, half your list received a less effective version.

Performance with Swiftask

The AI agent sends variants, monitors KPIs via API, identifies the statistical winner in real time, and automatically switches the rest of the list to the optimal version.

Deploy your A/B strategy in 4 steps

STEP 1 : Define your variants in Swiftask

Create your AI agent and connect your Mailwizz account. Set test parameters: subject lines, content, call-to-actions.

STEP 2 : Set your success rules

Tell the agent which metric matters most (open rate, clicks, conversions) to determine the winning version.

STEP 3 : Automate the test workflow

The agent orchestrates sending variants to a sample of your list, then analyzes feedback via the Mailwizz API.

STEP 4 : Automatic deployment

Once the winner is identified, Swiftask triggers the sending of the optimized version to the remaining database.

AI optimization capabilities for Mailwizz

The AI agent evaluates the relevance of subject lines, email structure, and audience segments to propose increasingly high-performing variants.

Target connector: The agent performs the right actions in mailwizz based on event context.
Automated actions: Real-time analysis of sending statistics. Automatic selection of the winning version. Triggering follow-up campaigns. Automated performance reporting by segment.
Native governance: Test history is centralized in Swiftask to build a knowledge base reusable for your future campaigns.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-mailwizz@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.

Strategic benefits of automation

1. Increased ROI

Every test brings your campaigns closer to their optimal performance, mechanically increasing your conversions.

2. Productivity gains

Free your team from repetitive monitoring and manual sending tasks.

3. Data-driven decisions

Eliminate human bias by letting AI statistically validate winning versions.

4. Continuous adaptability

Your campaigns adjust to the changing preferences of your audience without technical intervention.

5. Seamless integration

Swiftask interfaces natively with Mailwizz, ensuring reliable and secure execution.

Reliability and data compliance

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

Secure API connection: Swiftask communicates with Mailwizz via secure API keys, ensuring the integrity of your lists.
Fine-grained access control: Precisely control your agents' permissions over your campaigns and customer data.
GDPR compliance: Automation respects the segmentation and unsubscribe rules managed within Mailwizz.
Audit and reporting: Every decision made by the AI is logged for total transparency on your sending strategies.

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

RESULTS

Impact on your performance indicators

Metric	Before	After
Optimization time	Several days	A few minutes (real-time)
Average conversion rate	Standard baseline	+15-30% per iteration
Campaign management	Manual/Reactive	Autonomous/Proactive

Take action with mailwizz

Maximize your click-through and open rates continuously with data-driven optimization.