K Wish List vs. Likely ‑ Like Me Button: In-Depth Comparison

Introduction

Choosing the right app from thousands of Shopify options is one of the most common operational decisions merchants face. Two apps that often surface for product interest and social engagement are K Wish List‑Advanced Wishlist and Likely ‑ Like Me Button. Both aim to boost product discovery and customer engagement, but they do so in different ways and suit different merchant needs.

Short answer: K Wish List‑Advanced Wishlist is an excellent choice for merchants who need a lightweight, full-featured wishlist with sharing and save-for-later behavior; it scores well (81 reviews, 4.7 rating) and offers a useful free tier. Likely ‑ Like Me Button serves stores that want a simple social-proof layer—likes on product pages—at a very low monthly cost, but it has fewer reviews and a lower satisfaction score (10 reviews, 3.6 rating). For merchants who want to avoid multiple single-purpose tools and scale retention, a unified platform such as Growave often provides better long-term value.

This post provides an in-depth, feature-by-feature comparison of K Wish List‑Advanced Wishlist and Likely ‑ Like Me Button, then explains when each choice makes sense and when a consolidated retention platform is a superior option.

K Wish List‑Advanced Wishlist vs. Likely ‑ Like Me Button: At a Glance

Deep Dive Comparison

What each app does best

K Wish List‑Advanced Wishlist: Save, share, revisit

K Wish List positions itself as a comprehensive wishlist tool. The feature set targets classic wishlist behaviors: shoppers can save favorites, revisit later, and share lists with friends or across social networks. Display options include a dedicated wishlist page or a floating icon/button, and the app emphasizes quick setup with no coding required. Its higher review count (81) and a 4.7 rating suggest broader adoption and generally favorable merchant feedback.

Primary strengths:

• Encourages product saves and future purchases.
• Social sharing for gift lists and events.
• UI options (floating button, header icon, popup or embedded lists).
• Free tier provides a path for stores to test wishlist behavior without upfront commitment.

Ideal for merchants focused on retention strategies that rely on saved intent and revisits: gift shops, seasonal sellers, higher-priced or comparison-heavy catalogs.

Likely ‑ Like Me Button: Lightweight social proof

Likely focuses on a single, simple interaction: adding a like button to product pages. The app surfaces the most-liked products and exports the like counts for reporting. It’s built for merchants who want a lightweight social-proof mechanism—an easy visual cue that can nudge uncertain buyers toward products that other shoppers have marked as liked.

Primary strengths:

• Low monthly price point (starting at $1.99/mo).
• Easy installation and minimal configuration.
• A simple way to surface "most liked" products as social proof.

Likely is suitable for merchants who prioritize low overhead and minimal functionality for engagement—shops that want a simple indicator of product popularity without committing to a full wishlist or loyalty system.

Features: breadth and depth

Wishlist capabilities vs. Like-only functionality

K Wish List is a full wishlist product with multiple display types, notifications, and customer-specific lists. That breadth allows merchants to capture shopping intent and turn it into future purchases, especially when combined with marketing and recovery workflows.

Likely concentrates on one micro-interaction: liking. This reduces complexity and cost but also limits strategic outcomes. Likes produce social proof; they do not inherently capture shopper contact details, save cart intent, or provide deeper signals to trigger follow-up (unless paired with other systems).

When wishlist is the goal:

• K Wish List supports conversion-driving behaviors such as "save for later" and sharing across channels. It ties directly to purchase intent and can be leveraged for remarketing.

When social proof is the goal:

• Likely gives a visual cue of product popularity. That can increase conversion for undecided shoppers, particularly on high-traffic or featured product pages.

Customization and brand fit

K Wish List offers customization of labels, icons, and colors—enough to blend with most storefronts without heavy development work. The availability of popup and embedded types gives control over how aggressive or subtle the wishlist UX should be.

Likely allows color and icon customization and multiple like icon variants. This is typical for micro-UI apps, and it’s sufficient for stores that want the like button to match branding but are not seeking deep layout control.

Practical takeaway:

• Both apps support basic visual customization, but K Wish List provides more behavior-driven options (popups, pages, floating elements) that integrate into the shopping journey.

Sharing and social flows

K Wish List’s explicit sharing features are central to its value proposition. Allowing shoppers to create a sharable wishlist supports gift-buying scenarios and peer-to-peer recommendations, which can amplify traffic and purchases around events.

Likely’s sharing potential is indirect: a "most liked" tag can be promoted within the store, but the app does not primarily aim to create shareable lists. Exporting likes gives merchants data to highlight popular items in newsletters or on social channels, but the workflow requires extra manual steps.

Analytics, reporting, and data access

K Wish List advertises tracking wishlist usage to offer merchant insight into customer interest. That data is actionable for merchandising and remarketing—knowing what shoppers save can inform promotions and restocking priorities.

Likely offers reports on most-liked products and exports of like counts. This is useful for analyzing popularity, but it’s a narrower data set compared to a full wishlist’s signals of purchase intent.

Merchants needing deeper signals (saved items correlated with subsequent purchases) will find the wishlist data more valuable than like counts alone.

Pricing and value for money

Both apps are positioned as budget-friendly, but their value differs by scope.

K Wish List pricing:

• Free plan: provides essential wishlist features (float button, header icon, add to wishlist button, notifications, social sharing, popup & embedded wishlist types, customer wishlists, knowledge support).
• Growth plan: $6.70 / month with the same core features listed for the free tier.
• Growth 2: $19.99 / month (listed features similar).

Kaktus’s approach lets merchants test wishlist mechanics at no cost, then scale into low-cost paid tiers if needed. The free tier is a clear advantage for merchants evaluating wishlist impact.

Likely pricing:

• Starter: $1.99 / month (unlimited likes, customizable icons).
• Basic: $2.99 / month (adds reports for most-liked products and priority support).

Likely’s low entry price is attractive if the merchant only needs simple social proof. However, the lack of a free plan means small stores face a nominal recurring cost from the start.

Comparative value:

• If a merchant needs robust save-and-revisit functionality, K Wish List’s free plan offers excellent initial value and a clear upgrade path.
• If the goal is a micro-engagement metric with almost zero setup and cost, Likely is better value for money—but with a very narrow impact.

Integrations and extensibility

K Wish List lists checkout compatibility and is designed to work with typical Shopify flows. This allows wishlist actions to interact with the checkout or customer accounts to some degree. For stores focused on retention and recovery, this compatibility is useful.

Likely lists minimal third-party integrations. Its primary role is storing likes and exporting counts. That makes it simple, but harder to plug into complex automation or personalization stacks.

Merchants with existing marketing automation (email flows, saved searches) will find K Wish List easier to weave into retention flows, while Likely is most useful as a standalone visual indicator or as a source of manual merchandising data.

Performance, compatibility, and reliability

Performance considerations matter most when adding floating buttons or popups to product pages. K Wish List includes floating icons and embedded options, which increases the surface area for potential front-end conflicts. That said, a higher number of reviews (81) and a 4.7 rating indicate generally stable behavior across diverse themes.

Likely’s minimal footprint (a single like button) reduces the risk of layout conflicts and performance hits. In practice, lighter installs tend to load faster and require less troubleshooting.

Practical advice:

• Test either app on a staging theme or unpublished copy of the live theme to ensure layout, mobile behavior, and page speed remain acceptable.
• Consider theme complexity and existing app density—prioritize lighter installs if performance is a priority.

Support and documentation

K Wish List advertises “knowledgeable support.” The review volume suggests that merchants have relied on that support in the wild. The availability of a free plan often means app developers must provide baseline support to take stores live quickly.

Likely’s paid tiers include priority support at the Basic level. With fewer reviews (10) and a lower rating (3.6), a merchant should examine support responsiveness, especially if smooth implementation is essential.

Recommendation:

• Request expected SLA or response time before committing, and confirm whether support covers theme customizations or only app configuration.

Security, privacy, and data ownership

Both apps operate within the Shopify environment, which provides baseline security. Merchants should confirm:

• How customer-generated lists or likes are stored.
• Whether any customer data is transmitted outside Shopify.
• How to export or delete customer-associated data for privacy compliance.

K Wish List’s customer wishlist feature implies storage of user-associated lists; ensure clear data export and deletion processes are available.

Use cases and merchant profiles

K Wish List‑Advanced Wishlist is best for:

• Merchants selling items that benefit from saved intent (higher price points, giftable products, products requiring comparison).
• Stores that want to encourage revisits and capture intent signals for remarketing.
• Brands using social sharing for gift registries or seasonal promotions.

Likely ‑ Like Me Button is best for:

• Small stores seeking a low-cost visual signal of product popularity.
• Merchants that prioritize simplicity and minimal setup.
• Shops focused on merchandising most-liked items rather than saving intent.

Pros and cons — quick reference

K Wish List — Pros:

• Full wishlist functionality including sharing options.
• Free plan to test functionality and gain initial traction.
• Higher review count (81) and a strong 4.7 rating suggest broad merchant satisfaction.
• Multiple display types (floating, header icon, popup, embedded).

K Wish List — Cons:

• More features increase the surface for potential theme conflicts.
• Advanced workflows require integrating with other tools for remarketing.

Likely — Pros:

• Very low monthly cost and simple installation.
• Lightweight UI with low performance overhead.
• Exports and most-liked reports make merchandising easier.

Likely — Cons:

• Narrow feature set: likes only, no save-for-later or wishlist capability.
• Lower rating (3.6) and small review base (10) reduce confidence in long-term reliability.
• No free plan; even minimal testing requires a paid subscription.

Implementation Considerations

Setup and time-to-live

K Wish List emphasizes quick setup with no coding required. Still, merchants with custom themes should budget time to test popup behavior, floating icon placements, and responsive layouts. Expect a short configuration period for labels, icons, and user flows.

Likely’s install and configuration are typically faster because it only injects a like button and color/icon options. Time-to-live is minimal in most theme scenarios.

Theme compatibility and mobile behavior

Both apps offer mobile-compatible styles, but merchants should validate:

• Button placement and spacing on product templates.
• Popup behavior on small screens (for wishlist).
• Accessibility and keyboard navigation for interactive elements.

Data flows and marketing automation

For merchants that rely on automation:

• K Wish List’s saved items can be translated into targeted email sequences or onsite personalization when integrated with CRM or email platforms.
• Likely’s exportable reports enable manual merchandising decisions but do not inherently trigger automated customer flows.

Cost of scaling and future needs

Consider the long-term needs:

• If the store plans to invest in loyalty, referrals, or product reviews, adding separate apps for each capability creates tool sprawl and incremental monthly fees.
• A single-purpose app like Likely will remain inexpensive, but adding more single-purpose tools can add up in both cost and integration complexity.
• K Wish List covers wishlist needs well, but it still leaves loyalty and reviews to other apps.

The Alternative: Solving App Fatigue with an All-in-One Platform

What is app fatigue?

App fatigue is the slowdown in productivity and growth caused by relying on many single-purpose tools. Each additional app introduces cost, maintenance, integration overhead, and theme complexity. For merchants scaling beyond the proof-of-concept phase, the cumulative friction reduces speed to market and complicates troubleshooting.

Consequences of app fatigue:

• Increased monthly recurring fees for single-purpose tools.
• Fragmented customer data across multiple vendors.
• Integration gaps that make automation and personalization harder.
• Longer setup times for campaigns that require data from several apps.

Why consolidation matters

Consolidation helps merchants:

• Reduce recurring fees by replacing multiple apps with one suite.
• Centralize customer signals (wishlists, referrals, reviews, loyalty) for richer automation.
• Decrease the technical surface area in the storefront to improve performance and maintainability.
• Improve long-term lifetime value (LTV) by connecting saving behaviors (wishlists) to loyalty and referral campaigns.

Introducing Growave’s approach Growave follows a "More Growth, Less Stack" philosophy: combine the retention and engagement features merchants need into a single, integrated platform. Instead of piecing together separate wishlist, loyalty, reviews, and referral apps, the platform aims to consolidate those capabilities and coordinate them around customer identity and behavior.

Explore how consolidation works in practice:

• Combine wishlists with loyalty and referral actions so saved-item behavior can drive targeted rewards, increasing LTV.
• Use reviews and user-generated content alongside wishlist signals to promote social proof organically.
• Centralize customer profiles for better segmentation and automated campaigns.

Growave feature overview (what consolidation unlocks)

Growave bundles multiple merchant-facing tools:

• Loyalty and rewards programs that directly link to purchase behavior and long-term retention.
• Referral campaigns to turn advocates into customer-acquisition channels.
• Reviews and UGC collection to amplify product credibility.
• Wishlist functionality that captures saved intent and feeds into loyalty and remarketing.
• VIP tiers and advanced reward actions for segmentation and differentiated retention strategies.

For merchants interested in how Growave connects each function, consider exploring resources that demonstrate the platform’s pricing and availability in the Shopify ecosystem, and look at how loyalty programs can be built to drive repeat purchases and how reviews are collected and showcased.

• Growave’s pricing is useful when evaluating consolidation: compare standalone app fees versus an integrated suite that aims to reduce app sprawl and centralize functionality. For merchants evaluating options, check how to consolidate retention features and weigh monthly costs against the value of connected data.
• For stores that want to install an integrated app directly from Shopify, review the Growave listing to see compatibility and install options available in the Shopify App Store.

Concrete advantages of an integrated platform

Connecting wishlist data to loyalty and referrals unlocks measurable outcomes:

• Turning saved items into targeted reward offers can increase conversion on saved products.
• Rewarding social sharing or referrals of wishlists accelerates organic acquisition.
• Using review signals to boost product pages that are also highly saved helps focus merchandising dollars.

Growave provides the building blocks. Merchants can build loyalty and rewards that drive repeat purchases and pair those programs with wishlist-driven incentives to increase retention.

Growave also focuses on reviews and UGC as a growth lever; merchants can collect and showcase authentic reviews while tying reputation signals to loyalty incentives.

Integrations and enterprise readiness

For merchants on growth trajectories or on Shopify Plus, an integrated platform reduces complexity:

• Growave supports enterprise-level flows and multi-channel integrations, aligning checkout behavior, customer accounts, and marketing platforms.
• Merchants evaluating enterprise options can review how the platform supports larger stacks and scale, particularly for stores that require headless or API-driven customization.

Merchants can learn how Growave supports larger businesses and platform integrations and consider whether moving to a single stack is an operational improvement by reviewing the app listing and pricing options on the Shopify App Store and the vendor pricing page.

• Consider whether consolidating tools into an integrated platform reduces time spent on maintenance and increases time spent on growth initiatives.

Cost math — single-purpose apps vs. an integrated suite

A simple comparison of monthly fees:

• Multiple single-purpose apps (wishlist + likes + reviews + loyalty) can quickly exceed the price of an integrated platform when combined.
• An integrated platform consolidates recurring fees and often provides better cross-feature capabilities that single-purpose apps cannot replicate without custom integration.

For example, a merchant paying $6–$20 per wishlist app, $2–$5 for a like button, plus separate fees for reviews and loyalty, will likely exceed the entry price of a consolidated product once multiple apps are installed. Merchants should calculate total monthly spend, data fragmentation costs, and time spent managing multiple vendor relationships.

How Growave connects features (examples of workflows)

Examples of combined workflows that single-purpose apps can’t easily replicate:

• A wishlist save triggers a loyalty point award or a targeted email offering a discount if purchase doesn’t occur within a set window.
• A review with photos is automatically promoted on product pages and grants a referral incentive that encourages the reviewer to share across social channels.
• VIP tier eligibility is tied to both purchase frequency and referral performance, enabling personalized reward offers that extend LTV.

For merchants ready to move beyond point solutions, evaluating consolidated options can yield better retention and lower technical debt. For a practical assessment of pricing tiers and what consolidation would cost versus building a stack of single-function apps, review the details on the vendor pricing page and installation listing.

• Compare total monthly spend and feature parity on the Growave pricing page and the Shopify App Store listing to test if consolidation offers better value than continuing to add single-purpose tools. See how easy it is to consolidate retention features and whether that aligns with budget and roadmap.

Migration and setup for consolidating to Growave

Common migration concerns:

• Data migration: moving wishlist items, review history, and loyalty points into a single platform.
• Theme integration: ensuring floating buttons, widgets, and popups match brand styling without excessive custom work.
• Customer communication: informing repeat customers of new loyalty or wishlist features.

Growave offers migration paths and support for merchants switching from multiple apps to one platform. To understand migration logistics and support scope, consider consulting with Growave’s onboarding resources and explore real-world customer stories for inspiration and expected timelines.

• To see examples of brands that have moved to an integrated retention stack, review customer stories and inspiration that showcase how consolidation improved retention and reduced tool overhead.

Contextual links and resources

• Merchants who want to evaluate loyalty program design can review options to build loyalty and rewards that drive repeat purchases.
• For those focused on social proof and reputation, it is useful to examine how to collect and showcase authentic reviews.
• To compare installation options and app listing details, the Shopify install page provides compatibility information on the Shopify App Store.
• For a pricing breakdown to compare monthly costs and feature parity against multiple single-purpose apps, consider the detailed plan listings on the Growave pricing page.

When to choose a single-purpose app vs. an integrated platform

Choose K Wish List if:

• The primary requirement is a wishlist behavior that captures saved intent and supports sharing.
• The merchant wants a free entry point to test wishlist behavior and conversion lift.
• The store’s roadmap does not yet include loyalty or referral programs, and the priority is driving saves and revisits.

Choose Likely if:

• The merchant wants a minimal footprint social-proof indicator at the lowest possible price.
• Resources for integration and maintenance are limited and the objective is simply to nudge undecided buyers using visible popularity signals.
• The store is small with a tight feature scope and little need for automation tied to likes.

Choose an integrated platform like Growave if:

• The merchant wants to scale retention with a coordinated approach across wishlists, loyalty, referrals, and reviews.
• Reducing the number of installed apps, consolidating customer data, and connecting behavior to rewards is a priority.
• The merchant prefers a single vendor and unified metrics for lifetime value, retention, and engagement.

For merchants weighing options, it helps to compare total monthly cost and workflow complexity. Consolidation often pays off when multiple single-purpose tools would otherwise be required to implement a full retention strategy.

Support, reliability, and scaling

K Wish List shows stronger adoption and higher satisfaction based on review volume and rating (81 reviews; 4.7 rating). That suggests it is mature and widely used for wishlist needs.

Likely’s smaller review base and lower rating (10 reviews; 3.6 rating) suggest more caution: assess support responsiveness and update frequency before adoption.

An integrated platform like Growave typically provides enterprise-level support and dedicated onboarding for higher tiers, which benefits scaling merchants that need predictable SLAs and a single source of truth for retention systems.

Conclusion

For merchants choosing between K Wish List‑Advanced Wishlist and Likely ‑ Like Me Button, the decision comes down to scope and strategic priorities: K Wish List suits stores that need a full wishlist with sharing and save-for-later behavior; Likely is a low-cost way to add a popularity badge to product pages. Neither app solves downstream retention holistically—wishlists and likes are tactical features that perform best when tied into loyalty, referrals, and reviews.

For stores aiming to reduce tool sprawl and build sustainable retention, consider the benefits of an integrated retention platform. Consolidation reduces monthly overhead, centralizes customer data, and enables workflows that single-purpose apps cannot execute alone. Merchants can compare pricing and features to evaluate whether a unified stack better supports long-term growth and operational simplicity by reviewing plans that help consolidate retention features. To check compatibility and install options, view the listing on the Shopify App Store.

Growave positions itself around a "More Growth, Less Stack" philosophy—combining loyalty, wishlist, referrals, reviews, and VIP tiers so merchants can trade multiple subscriptions for one coordinated platform. To compare the immediate cost of consolidation versus running several single-purpose tools, visit the vendor pricing page to consolidate retention features and view the Shopify listing to understand install requirements and compatibility on the Shopify App Store.

If the next step is to test an integrated retention approach, start a 14-day trial to see how an all-in-one suite aligns with business goals and reduces the burden of managing multiple apps. Start a 14-day free trial to see how a unified retention stack accelerates growth: Start your 14-day free trial.

Frequently Asked Questions

What are the main functional differences between K Wish List and Likely?

• K Wish List is a complete wishlist tool that enables saving, sharing, popup/embedded displays, and customer-specific lists. Likely provides a single interaction: a like button for product pages to surface popular items. The wishlist delivers intent signals usable for remarketing; likes produce popularity signals for merchandising.

How should merchants decide based on reviews and ratings?

• Review counts and ratings provide signals of adoption and satisfaction. K Wish List has 81 reviews and a 4.7 rating, indicating broader usage and higher merchant satisfaction for wishlist use cases. Likely has 10 reviews and a 3.6 rating, which suggests a need to validate support quality and update cadence before relying on it for critical flows.

Can a like button replace a wishlist for conversion uplift?

• No. Likes increase social proof, which can help conversion for undecided shoppers, but they do not capture saved intent the way a wishlist does. Wishlists enable future reengagement (emails, notifications, loyalty triggers), which often delivers a stronger lift in revisits and purchases.

How does an all-in-one platform compare to specialized apps?

• An all-in-one platform connects signals across wishlist, loyalty, referrals, and reviews, enabling automated workflows that single-purpose apps cannot deliver without custom integrations. Consolidation reduces tool maintenance, centralizes customer data, and often provides better value for money when more than one retention feature is required. Merchants should compare the total cost and operational benefits of consolidating versus maintaining multiple single-purpose tools.