About GiftCardIQ

The First AI-Powered Gift Card Recommendation Engine for Businesses

Stop guessing. Stop Browsing. Find the perfect gift cards for your team in 60 seconds.

Take the Quiz

Choosing Gift Cards Shouldn't Be This Hard

Every year, companies spend billions on employee gift cards. And every year, the same thing happens: someone opens a catalog with 1,000+ options and gets overwhelmed.

The problem isn't the gift cards. It's the decision. Beyond simple filters, there's no guidance, no personalization, and no way to know which brands will actually resonate with your team.

Until now.

Smart Recommendations. Real Data. 60 Seconds.

GiftCardIQ is an AI-powered recommendation engine that matches your team with the right gift card brands — based on who they are, what you're celebrating, and what actually gets redeemed buy recipeints with similar inputs.

No more endless scrolling. No more guessing. Just answer 8 quick questions about your recipients, and our model analyzes premium brands across 34 attributes to surface your top 4 matches.

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Match percentage showing how well the brand fits your criteria
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Clear explanation of why it works for your team
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Optimal denomination to ensure recipients can actually get something with the gift card
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Budget calculations so you know the total cost upfront

Three Steps. One Perfect Match.

1

Tell Us About Your Team

Answer 8 simple questions: Who are your recipients? What's your budget? What's the occasion? What's your company culture like?

2

Our AI Does the Work

Your answers run through a machine learning model trained on real B2B gift card transactions. It scores every brand and finds the ones that fit.

3

Get Your Matches

In under 60 seconds, you'll see your top 4 brand recommendations — with match scores, explanations, and exact denominations. Ready to quote.

Built on Real Transactions. Not Guesses.

Most “recommendation” tools are just filtered catalogs. GiftCardIQ is different. Our model is trained on actual purchasing behavior from real B2B buyers.

200K+
Transactions analyzed
28
Premium brands scored
34
Attributes per brand
77%
Top-5 accuracy rate

What we analyze:

  • Transaction history — Which brands do companies actually buy, and for what occasions?
  • Redemption data — Which gift cards do recipients actually use?
  • Industry patterns — What do tech companies choose vs. healthcare vs. finance?
  • Seasonal trends — How do preferences shift throughout the year?
  • Demographic signals — What resonates with different age groups and team compositions?

How the Model Works

GiftCardIQ uses a machine learning model called XGBoost — the same technology behind fraud detection systems and recommendation engines at major tech companies.

Here's what happens when you take the quiz:

1
Your inputs are encoded— Team size, budget, occasion, industry, and culture preferences become numerical features the model can process.
2
Every brand gets scored— The model evaluates all 28 brands against your specific criteria, weighing factors like category fit, demographic alignment, and historical redemption rates.
3
Filters and boosts are applied— Gender preferences, age ranges, and industry-specific patterns adjust the scores. Brands that don't fit get filtered out.
4
Top matches surface— The highest-scoring brands become your recommendations, complete with explanations generated from the factors that drove their scores.
5
The model learns— Every completion teaches the model what works. Accuracy improves over time.

We validate the model continuously with regression testing, property testing, and real-world accuracy tracking. Current performance: 77% of the time, the best-fit brand appears in our top 5 recommendations.

Powered by Totus

GiftCardIQ was built by Totus, a gift card issuance company that has spent the last four years helping brands distribute gift cards through B2B channels.

We manage a portfolio of 28 premium brands — including Oura Ring, Allbirds, Poshmark, CorePower Yoga, Tommy John, and Quince — and facilitate millions of dollars in gift card transactions every year.

We saw buyers struggling with the same problem over and over: too many options, not enough guidance. So we builtGiftCardIQ.

Frequently Asked Questions

Ready to Find the Right Gift Cards?

8 questions. 60 seconds. 4 perfect matches.

Take the Quiz