‍How retailers can turn post-holiday data into actionable Q1 strategy with AIQ analytics, campaign reporting, and AI-powered segmentation

The holiday season generates more data than any other retail moment of the year. Every campaign, offer, message, and purchase leaves behind signals about customer behavior, preferences, and intent.

When Q1 roles around, January is your time where that data becomes strategy.

Retailers who take the time to analyze holiday performance with precision don’t just understand what happened, they unlock insight into who their customers are, what drives them to buy, and how to engage them more effectively throughout the year. AIQ gives retailers the tools to move beyond surface-level reporting and into actionable, customer-level intelligence.

Using holiday analysis to guide Q1 decisions

Holiday traffic is high, but not all customers behave the same way. Some shoppers are deal-driven. Others respond to loyalty incentives, product discovery, or convenience. Without clear analysis, those differences get lost in aggregate metrics.

AIQ helps retailers answer the questions that matter most after peak season:

• Which campaigns actually drove revenue, not just opens
• Which customers increased spend versus one-time purchasers
• Which products and categories drove repeat behavior
• How loyalty engagement influenced holiday performance

Instead of guessing how to approach Q1, retailers start with clarity.

Understanding performance with AIQ analytics and campaign reporting

AIQ’s analytics and campaign reporting tools unify data across marketing, loyalty, ecommerce, and POS, giving retailers a single view of holiday performance.

Go beyond basic metrics

Traditional reports stop at sends, opens, and clicks. AIQ connects campaigns to real transactions, allowing retailers to analyze:

• Revenue per message
• Redemption behavior tied to specific offers
• Purchase frequency before, during, and after campaigns
• Deep channel-level performance across SMS, email, push notifications (app and wallet), plus voice drops
• Conversions by engagement type at an individual campaign level 
• Compare strict vs broad attribution revenue metrics by campaign 

And so much more. 

This makes it possible to identify which strategies actually influenced buying behavior during the holidays.

Compare performance across time and segments

January analysis is about patterns. AIQ allows retailers to compare:

• Pre-holiday versus peak-season behavior
• Loyalty members versus non-members
• First-time holiday shoppers versus returning customers
• Discount-driven campaigns versus value-based messaging

These comparisons reveal where growth is sustainable and where it was temporary.

Analyzing customer buying behavior with ai-powered audience segmentation

Holiday data becomes far more powerful when paired with AIQ’s AI-powered audience segmentation.

Move from broad groups to precise behaviors

Instead of static lists, retailers can build dynamic audiences based on real actions, such as:

• Customers who made multiple purchases during the holiday window
• Shoppers who redeemed rewards for the first time
• Customers who only purchased when discounts were applied
• High-spend customers who responded to product recommendations

AI-powered segmentation removes manual complexity while preserving accuracy, allowing teams to analyze not just what customers bought, but why.

Uncover opportunities hiding in your holiday data

With AIQ, retailers can identify:

• High-value customers worth nurturing in Q1
• Lapsed customers who only engage seasonally
• Categories that drive repeat visits versus one-time purchases
• Opportunities to shift discount-dependent shoppers toward loyalty value

This level of insight turns holiday performance into a roadmap for smarter targeting.

Turning holiday performance into Q1 clarity

The real value of holiday analysis is how it informs what comes next.

With AIQ, retailers can:

• Retarget holiday shoppers with personalized follow-ups
• Create loyalty-driven campaigns based on past redemption behavior
• Tailor messaging based on product preferences uncovered during peak season
• Optimize promotional strategy to protect margins while maintaining engagement

Instead of resetting in January, retailers build on momentum.

Coming soon: AI Analytics and Flows

AIQ is expanding what post-holiday analysis can look like with AI Analytics and Flows, launching in the new year.

Talk to your data, humanly.

AI Analytics introduces natural-language reporting, allowing retailers to ask questions like:

• “Which holiday campaigns drove the highest revenue per customer?”
• “What products increased repeat purchase after christmas?”
• “Which audiences had the highest lifetime value following holiday promotions?”

Instead of digging through dashboards or spreadsheets, retailers get instant, decision-ready insights by simply prompting their data.

Move from insight to action and automate your marketing with Flows. 

Flows builds on those insights by enabling automated, behavior-driven journeys. Once patterns are identified, retailers can:

• Trigger follow-up campaigns based on holiday purchase behavior
• Adapt messaging based on customer response in real time
• Create personalized paths without rebuilding campaigns manually

This creates a continuous feedback loop where analysis informs targeting, and targeting generates new insights automatically.

Turning holiday data into a competitive advantage

January isn’t a slowdown. It’s a strategic reset.

Retailers who use AIQ to analyze holiday performance with precision gain a deeper understanding of their customers and a clearer path forward. By combining analytics, campaign reporting, AI-powered segmentation, and the next generation of AI Analytics and Flows, holiday data becomes a foundation for smarter growth all year long.

The holidays may end, but the insight they generate should carry forward.