Okendo vs Eevy AI: Surveys and Attributes vs Automated Optimization

Okendo has carved out a unique position in the Shopify review app landscape. While other apps compete on price (Judge.me), visual polish (Loox), or platform breadth (Yotpo), Okendo differentiates through customer attributes and survey data. When a customer leaves a review on an Okendo-powered store, they can also share structured data — their skin type, body measurements, experience level, age range, or whatever attributes the merchant defines.

This structured data is genuinely valuable. It lets future shoppers filter reviews by people who are similar to them, which makes those reviews more relevant and persuasive. If you are buying skincare and can read reviews from people with the same skin type, that is a better shopping experience.

But structured data and display optimization are two different problems. Okendo collects rich review data. Eevy AI ensures however that data is displayed, it is displayed in the way that generates the most revenue. Let us break down how these two approaches compare and when each makes sense.

What Okendo Does Well

Okendo has genuine strengths that no other review app replicates.

Customer Attributes Are Unique

This is Okendo's signature feature, and it deserves detailed attention. When a customer submits a review, they can also fill in attribute fields defined by the merchant. A skincare brand might ask about skin type (oily, dry, combination), skin concerns (acne, aging, hyperpigmentation), and age range. An apparel brand might ask about body type, usual size, and height.

These attributes appear alongside the review and — critically — are filterable. A shopper browsing a moisturizer can filter reviews to show only reviews from people with dry skin. A shopper looking at jeans can filter for their height range and body type.

This personalized relevance is powerful. Generic reviews tell you "this product is great." Attribute-filtered reviews tell you "this product is great for someone like you." That distinction can meaningfully impact purchase confidence.

Survey Capabilities

Beyond review attributes, Okendo offers post-purchase surveys that collect additional customer data — Net Promoter Score (NPS), product feedback, custom questions. This data builds detailed customer profiles over time, which can feed into marketing segmentation and product development.

For brands that are serious about understanding their customers at a granular level, this survey system creates a data asset that extends well beyond review display.

Customer Profiles

Okendo aggregates review and survey data into customer profiles. Over time, each customer builds a profile based on their reviews, attributes, and survey responses. This data can flow into Klaviyo or other marketing tools for segmentation, enabling targeted campaigns based on actual customer attributes rather than inferred behavior.

For example, you could create a Klaviyo segment of customers with dry skin who rated a product 4+ stars and send them a targeted cross-sell campaign for a complementary product. That level of precision requires the kind of structured data Okendo collects.

Shopify Plus Integration

Okendo has invested in Shopify Plus features, including integration with Shopify's native checkout extensibility, metafields, and customer data. For Shopify Plus stores, this means review and attribute data flows smoothly into the broader Shopify ecosystem.

Klaviyo Integration

Okendo's Klaviyo integration is deeper than most review apps. Review events, attribute data, and survey responses can trigger Klaviyo flows, populate profile properties, and drive segmentation. If Klaviyo is your email platform — and it is for many serious Shopify stores — this integration has real value.

Where Okendo Falls Short

Okendo's focus on data collection creates gaps on the display and optimization side.

No Layout Testing or Optimization

Like every other review app except Eevy AI, Okendo does not A/B test review display configurations. You choose a widget layout, configure the styling, and every visitor sees that same display. There is no testing of whether a different layout, content arrangement, or visual style would convert better.

This is particularly relevant for Okendo because the structured attribute data makes the display problem more complex, not less. When reviews have associated attributes, there are additional display decisions: where do attributes appear? How prominent should filters be? Should attribute badges be shown on each review card or only when filtered? The optimal answers to these questions vary by store, product, and audience — and without testing, you are guessing.

Pricing Is Higher Than Most Alternatives

Okendo's pricing starts at $19/month for the Essential plan (up to 200 orders per month). The really valuable features — attributes, customer profiles, advanced analytics — require the Growth plan at $119/month. The Power plan at $299/month unlocks the full feature set.

For comparison, Judge.me offers unlimited reviews for free. Loox starts at $9.99/month. Even Yotpo's review-specific pricing starts lower than Okendo's attribute-enabled tier.

The premium is justified if you are actually using the attribute and survey features. But if you install Okendo and only use basic reviews, you are paying a premium for capabilities you are not leveraging.

Attribute Setup Requires Effort

Customer attributes do not appear automatically. You need to define the attribute fields for each product category, decide which attributes matter, and configure the review form to collect them. This is not a one-time setup — as you add product categories, you may need new attribute definitions.

The attributes are also only as good as the completion rate. If customers skip the attribute fields when leaving a review (and many will), the filtered review experience becomes sparse. Building a useful attribute database takes time and persistent collection effort.

The Most Valuable Features Are Behind Expensive Plans

Okendo's Essential plan at $19/month provides basic reviews — roughly equivalent to what Judge.me offers for free. The attributes, profiles, and Klaviyo integration that make Okendo unique are on the Growth ($119/mo) and Power ($299/mo) plans. This means Okendo's true value proposition requires a significant monthly commitment.

No Revenue Attribution for Display

Okendo provides analytics on review collection, attribute completion, and widget engagement. What it does not provide is data connecting review display configuration to revenue outcomes. You cannot see whether your current layout generates more or less revenue than an alternative. There is no RPV, CVR, or AOV tracking tied to how reviews are shown.

What Eevy AI Does Differently

Eevy AI addresses the part of the review equation that Okendo ignores: how reviews are displayed and whether that display is optimized for revenue.

Automatic Display Optimization

Eevy AI tests multiple review display configurations simultaneously. Different visitors see different layouts, styles, and content arrangements. The genetic algorithm tracks which configurations drive the most revenue and evolves toward the optimal display for your specific store.

This is the single feature that Okendo (and every other review app) lacks. Your review widget with Eevy AI is not static — it is continuously improving based on real performance data.

Revenue-Focused Metrics

Eevy AI tracks revenue per visitor (RPV), conversion rate (CVR), and average order value (AOV) tied directly to review display configuration. This is not abstract engagement data — it is dollars and cents showing the impact of how your reviews are displayed.

When you can see that Layout A generates $2.40 RPV and Layout B generates $2.85 RPV, the optimization decision makes itself. Eevy AI automates these decisions at a scale and speed that manual testing cannot match.

Multiple Layout Types

Eevy AI offers carousels, grids, lists, slideshows, and specialized formats for different page contexts. It also handles UGC video content with story-style bubbles, video carousels, and shoppable video displays. The key is not the variety itself — it is that the optimization algorithm can test these layouts against each other to find what works best for your store.

AI Review Summaries

For stores with large review catalogs, Eevy AI generates AI-powered summaries that distill key themes. This is particularly relevant for stores coming from Okendo — if you have rich, attribute-laden reviews, summarizing the key insights helps shoppers who do not want to filter and read individual reviews. The summary captures the signal from across all your reviews in a format that accelerates purchase decisions.

Lightweight Performance

Eevy AI is a focused tool, which means its performance footprint is minimal. No survey engines, no customer profile systems, no marketing integration layers — just intelligent review display. For stores where Core Web Vitals and page speed matter (which is every store), less JavaScript means faster pages.

Pricing Comparison

| | Okendo Essential | Okendo Growth | Okendo Power | Eevy AI | |---|---|---|---|---| | Price | $19/mo | $119/mo | $299/mo | Free plan available | | Order limit | 200/mo | Varies | Varies | Depends on plan | | Customer attributes | No | Yes | Yes | No | | Surveys | No | Yes | Yes | No | | Customer profiles | No | Yes | Yes | No | | Klaviyo integration | Basic | Advanced | Advanced | No | | A/B testing | No | No | No | Genetic algorithm | | Layout optimization | No | No | No | Automatic | | Revenue tracking | No | No | No | RPV, CVR, AOV | | AI summaries | No | No | No | Yes |

Data Collection vs Data Display: The Missing Link

The fundamental tension in this comparison is the gap between collecting great review data and displaying it effectively.

Okendo is the best in the market at collecting structured review data. The attribute system, surveys, and customer profiles create a rich data asset. But that data only drives revenue when it is displayed in a way that converts. And Okendo treats display as a configuration step, not an optimization problem.

Consider this scenario: You use Okendo to collect reviews with customer attributes for your skincare line. You have hundreds of reviews with skin type, age range, and concern tags. Shoppers can filter reviews by skin type. This is great.

But is the filter placement optimal? Should it be above the reviews, in a sidebar, or inline with each review card? Should the default view show all reviews or auto-filter based on some heuristic? Is the review list format better than a carousel for attribute-rich reviews? Does showing the attribute badges prominently help or create visual clutter that hurts conversion?

Okendo does not answer these questions. You make configuration decisions based on intuition and design preference, then move on. Eevy AI would answer these questions through testing.

Who Should Use Okendo

Okendo is the right choice if:

Customer attributes genuinely matter for your products. If your products have a personal fit component — skincare, supplements, apparel with sizing variation, fitness equipment — the attribute system is uniquely valuable. No other app does this.
You are building a customer data strategy. If customer profiles feeding into Klaviyo segmentation is part of your marketing plan, Okendo creates a data asset that extends beyond reviews.
You need post-purchase surveys. If NPS tracking and structured product feedback are important to your business, Okendo combines these with review collection.
You are on Shopify Plus. Okendo's Shopify Plus integration features are designed for enterprise stores, and the pricing is more palatable at that scale.
You prioritize data depth over display optimization. If knowing what your customers look like and what they think matters more than automatically optimizing how their reviews are shown, Okendo delivers that depth.

Who Should Use Eevy AI

Eevy AI is the right choice if:

You want your review display to drive maximum revenue. If having reviews on the page is not enough and you want proof they are displayed in the most effective configuration, Eevy AI provides that through automated testing.
You have reviews but are not sure they are converting. If your conversion rate is lower than you think it should be given your review quality and volume, display optimization is often the missing piece.
You want measurable ROI from your review investment. RPV, CVR, and AOV tracking tied to review display lets you see actual revenue impact — not just engagement metrics.
Simplicity matters. If you want a tool that works intelligently without requiring extensive configuration, attribute definition, and survey management, Eevy AI's set-and-optimize approach is much lighter.
You do not need customer attribute data. If your products do not have a strong "personal fit" component — electronics, home goods, general merchandise, food — the attribute system's overhead is not justified, and display optimization has more direct revenue impact.

Using Both Together

There is a compelling case for using Okendo and Eevy AI together, particularly for stores where customer attributes are genuinely valuable.

Okendo collects the richest review data in the market. Eevy AI displays reviews in the most revenue-optimized way possible. These are complementary capabilities. Use Okendo for what it does best — collecting structured, attribute-rich reviews with survey data feeding into customer profiles. Use Eevy AI for what it does best — ensuring that however those reviews are displayed, the display configuration is the one that generates the most revenue.

This combined approach is most relevant for stores that:

Sell products with personal fit characteristics (skincare, apparel, supplements)
Have enough traffic for meaningful A/B testing
Use Klaviyo for email marketing and want attribute-based segmentation
Care about both data depth and conversion optimization

For stores that do not need customer attributes, Eevy AI on its own is the simpler and more cost-effective choice.

The Bottom Line

Okendo and Eevy AI represent two different philosophies about what makes reviews effective.

Okendo believes the most effective reviews are the most detailed and personalized ones — rich with customer attributes, filterable by similarity, and connected to a broader customer data strategy. This philosophy has real merit, especially for categories where personal fit drives purchase confidence.

Eevy AI believes the most effective reviews are the ones displayed in the configuration that generates the most revenue — tested, optimized, and continuously improved based on real performance data. This philosophy also has real merit, because even the best reviews underperform when displayed in a suboptimal layout.

The truth is that both are right. Review quality and display optimization are both important. The question for your store is where the bigger opportunity lies: in collecting richer review data, or in optimizing how your existing reviews are displayed.

If your reviews already have good content and volume but your conversion rate does not reflect that, display optimization with Eevy AI is likely the higher-impact investment. If your reviews lack the structured data that helps shoppers find relevant feedback, Okendo fills that gap uniquely.

And if both matter — as they often do for stores that take reviews seriously — using both tools together gives you the best of both worlds: the deepest review data in the market, displayed in the way that your data proves generates the most revenue.