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By now we have all heard about site search, this technology is nothing new and most ecommerce sites have incorporated some form of site search. However, what is new are innovations that enhance visual displays to encourage the use of intelligent search, collecting and applying shopper data customizing each shopping experience. Nowadays shoppers are a lot more sophisticated about searching for products they want to buy. If they can’t find the product they want quickly and easily your site may be encouraging customers to shop elsewhere.
Who is Using Site Search?
Industry stats reveal only about 20% of incoming site traffic will utilize search capabilities. The customers who make up this 20% are without a doubt an ecommerce sites most valuable customer as they provided the highest potential for a conversion. These are motivated buyers who know what they are looking for. Users who interact with site search are 3-5 times more likely to covert and of those orders the average order value is 25 to 50% higher.
Understanding one of the top reasons customers shop online is to save time, a site search displaying a failed search is unacceptable in today’s market. Industry analysts convey that if a desirable match is not returned on a query, roughly 75 percent of shoppers will look elsewhere.
The reasoning for a failed search can be a result of incorrect spelling of a product or brand name, the use of multiple words in a query that doesn’t support phrases-displaying irrelevant products, or in many cases valid results are produced, but they don’t correspond to what the shopper has in mind.
These failed searches typically happen with basic search packages, and while they work for the most part, they don’t have the features to compete in today’s market. With advancements such as auto complete and intelligent site search technology eliminating failed search results – ecommerce sites can ensure their most important customers needs are being meet.
Why You Want Customers to Search:
Customers utilizing search convert higher and spend more. The reasoning as to why you want all traffic to utilize this feature is fairly obvious. Yet, aside from the increased revenue associated with site search usage, organizations are also collecting and applying powerful data to continuously improve the shopping experience through intelligent site search technology.
Think of intelligent site search as an employee working in retail. Customer preferences and shopping patterns continuously evolve, and the best employees aim to learn from customer interactions and pick up on changes in purchasing patterns. Making personal adjustments to the products they recommend they become more effective in meeting customer needs and finalizing transactions. In the ecommerce world intelligent site search automatically makes similar adjustments to the order of displayed products and cross selling recommendations to ensure a quality shopping experience.
Intelligent site search captures user data correlating clicks and purchases back to the individual query term, and then leverages that intelligence to drive more conversions. For example, 10 shoppers who enter the same search query, and select the same product on a search results page, that result would then be shown at the top of the search results, helping to ensure customers find what they want on the first page of results.
Value of Advanced Search
E-commerce organizations focus on improving two important analytics, conversion rates and sales revenues. With proven results of increasing conversion rates as a result of improved site functionality, increased conversion rates lead too much higher revenue. Like most technologies that revolutionize the industry, when they are first released the cost associated with implementing the feature may be too much to justify. However, overtime the costs have decreased making the technology affordable and sensible for many small to mid size organizations.
The “return on investment” received from advanced search technology impacts multiple analytics not only increasing revenue but also enhancing the shopping experience. Analyzing the customers using site search, understanding why you want your customers to use site search, and reviewing impacts of advanced search to conversion rates and revenue – the importance of implementing powerful search capabilities should be apparent.
By now we have all heard about site search, this technology is nothing new and most ecommerce sites have incorporated some form of site search. However, what is new are innovations that enhance visual displays to encourage the use of intelligent search, collecting and applying shopper data customizing each shopping experience. Nowadays shoppers are a lot more sophisticated about searching for products they want to buy. If they can’t find the product they want quickly and easily your site may be encouraging customers to shop elsewhere.
Who is Using Site Search?
Industry stats reveal only about 20% of incoming site traffic will utilize search capabilities. The customers who make up this 20% are without a doubt an ecommerce sites most valuable customer as they provided the highest potential for a conversion. These are motivated buyers who know what they are looking for. Users who interact with site search are 3-5 times more likely to covert and of those orders the average order value is 25 to 50% higher.
Understanding one of the top reasons customers shop online is to save time, a site search displaying a failed search is unacceptable in today’s market. Industry analysts convey that if a desirable match is not returned on a query, roughly 75 percent of shoppers will look elsewhere.
The reasoning for a failed search can be a result of incorrect spelling of a product or brand name, the use of multiple words in a query that doesn’t support phrases-displaying irrelevant products, or in many cases valid results are produced, but they don’t correspond to what the shopper has in mind.
These failed searches typically happen with basic search packages, and while they work for the most part, they don’t have the features to compete in today’s market. With advancements such as auto complete and intelligent site search technology eliminating failed search results – ecommerce sites can ensure their most important customers needs are being meet.
Why You Want Customers to Search:
Customers utilizing search convert higher and spend more. The reasoning as to why you want all traffic to utilize this feature is fairly obvious. Yet, aside from the increased revenue associated with site search usage, organizations are also collecting and applying powerful data to continuously improve the shopping experience through intelligent site search technology.
Think of intelligent site search as an employee working in retail. Customer preferences and shopping patterns continuously evolve, and the best employees aim to learn from customer interactions and pick up on changes in purchasing patterns. Making personal adjustments to the products they recommend they become more effective in meeting customer needs and finalizing transactions. In the ecommerce world intelligent site search automatically makes similar adjustments to the order of displayed products and cross selling recommendations to ensure a quality shopping experience.
Intelligent site search captures user data correlating clicks and purchases back to the individual query term, and then leverages that intelligence to drive more conversions. For example, 10 shoppers who enter the same search query, and select the same product on a search results page, that result would then be shown at the top of the search results, helping to ensure customers find what they want on the first page of results.
Value of Advanced Search
Two important analytics ecommerce organizations focus on improving are conversion rates and sales revenues. With proven results of increasing conversion rates as a result of improved site functionality, increased conversion rates lead too much higher revenue. Like most technologies that revolutionize the industry, when they are first released the cost associated with implementing the feature may be too much to justify. However, overtime the costs have decreased making the technology affordable and sensible for many small to mid size organizations.
The “return on investment” received from advanced search technology impacts multiple analytics not only increasing revenue but also enhancing the shopping experience. Analyzing the customers using site search, understanding why you want your customers to use site search, and reviewing impacts of advanced search to conversion rates and revenue – the importance of implementing powerful search capabilities should be apparent.
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The results are in: The giants of the E-Commerce industry: Amazon.com, Zappos.com, Lowes.com, Dell.com, (You name it), have all proven that attribute-driven, dynamic, faceted navigation is the best navigation method for maximizing conversion rates of users who browse. Make it easy and intuitive to find the right product, and the shoppers will purchase more often.
Here’s how faceted navigation does it:
- Faceted navigation makes exploring a store intuitive. It enables shoppers to navigate by whats important to them (price, color, brand, size, ratings, anything), in the order that makes sense to them. One shopper may select a price range first, then a rating, then a color, and end up at the same products as a shopper who clicks the same refinements in the opposite order. Shoppers are completely set free from the constraints of pre-determined paths.
- Faceted Navigation enables a shopper to visualize their navigation path, and whats available in a store. Refinement choices update quickly after each click, making remaining choices crystal clear. The dreaded “No Results” literally never appears because faceted navigation never misleads the shopper into selecting an incorrect combination of attributes.
- Makes it easy to “back out” of refinement selections, without affecting other refinements already selected. Stores find that they receive more multi-item orders because shoppers have an easier time navigating to accessories after purchasing primary products.
- Strategic placement of color paletes, pick grids, price sliders, and shopper-provided social navigation (ratings, pros, cons) extend faceted navigation’s effectiveness even further.
Faceted navigation can yield an astonishing 20% increase in conversion rates, A/B tests have shown, when compared to heirarchy style and pull-down refinement style navigation systems.
Faceted Navigation can be added to existing category pages without affecting SEO. Using AJAX to insert faceted navigation into a category page from a hosted service, shoppers benefit from improved navigation while spiders experience the same page, including all the same links to other pages on your site. Spiders largely ignore AJAX, and therefore generally don’t follow faceted navigation links.
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Earlier this week a study released by TBG Digital recognized organizations that direct traffic within the Facebook domain can receive discounted pricing up to 45% on cost per click rates. While many click ad campaigns direct traffic to external sites, Facebook is looking to encourage organizations to keep users within the Facebook domain by offering this price reduction. With SearchSpring’s newest application that integrates a live shopping catalog, search and navigation capabilities directly into Facebook fan pages, eCommerce organizations can fully take advantage of this reduced pricing plan. By setting up click campaigns to direct clicks to our applications product pages within the Facebook domain organizations qualify for reduced pricing.
Included in the SearchSpring Facebook application is the display of a “Like” button next to all products in the search and navigation interface both on a sites product/category pages as well as within the applications product/category pages. Additionally, this application enables the creation of user-generated content through the integration of product ratings and comment boxes allowing customers to share product experiences optimized through Power Reviews. Finally, the appearance of “mini product pages” displaying full sized product images, in-depth descriptions, product ratings, and reviews similar to the product page or category page from any eCommerce site.
The logic driving the idea of offering discounted cost per click pricing aims at rewarding customer loyalty for creating campaigns that keep traffic within Facebook.com and avoids disrupting the social experience. TBG Digital CEO, Simon Mansell applied reason to the idea of discounted pricing in that “if brands invest money coming up with campaigns that are social by design, Facebook gives some money back in lower advertising – that feels fair to me.” And with SearchSpring’s new Facebook 2.0 application directing traffic within the Facebook.com domain organizations utilizing this service are not only gaining a new sales outlet via social media, but more importantly, now possess a Facebook marketing tool helping reduce the costs associated with CPC’s within Facebook.com.
Once business pages are integrated with SearchSpring’s Facebook application, administrators can create campaigns that drive traffic to mini product pages within Facebook.com. By directing traffic to Facebook mini product pages powered by SearchSpring, all activity aside from final checkout can remain within the Facebook domain reducing the fees associated with click campaigns.
BTO Sports was one of the first SearchSpring clients to integrate this application earlier in 2011 – (facebook.com/btosports). BTO Sports indentified benefits provided from this service as; a new outlet for sales and marketing via social media, creation of user generated content and online exposure from followers posting reviews and liking products, collectively adding to the continuous expansion of social networks generated from increased exposure, and now with discounted pricing available from Facebook, BTO Sports can now spend up to 45% less on click campaigns.
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To read the full study released by TBG Digital click here
Or for more information regarding the SearchSpring Facebook application, customer feedback from users of the application, or general inquires regarding faceted search and faceted navigation powered by SearchSpring – please contact in any of following ways:
Visit http://www.searchspring.net/
Call toll free at (888) 643-9043
Drop us a line on Facebook.com/SearchSpring or tweet us @SearchSpring
Email: Info@SearchSpring.net
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Many shoppers begin their online shopping session by typing into a site’s search box. The results they experience affect as much as half of the typical E-Commerce company’s total sales. While shoppers who use site search comprise only 15-30% of visitors, site search users consistently convert 2x – 3x higher than shoppers who only browse. The higher conversion rates reflect the fact that site search users have a higher propensity to buy. This means shoppers who engage with the site search feature are closer to a purchase decision and use site search as the quickest path to the items on their shopping list. A poor site search experience undoubtedly sends them speedily along to the next online store on their Google list.
So how do merchants ensure these ready-to-buy shoppers convert?
Here are six ways to increase conversion rates with site search:
1. Provide Faceted Navigation
Many shoppers use broad query terms that yield lots of results and few of them will wade through more than the first page of results. Search result refinement options, commonly referred to as “faceted navigation”, for sizes, colors, price ranges, and other attributes can greatly help shoppers narrow in on what they are looking for quickly and easily. Faceted navigation empowers shoppers to visualize their options and explore a store with ease. Here’s a bonus tip: Faceted navigation works well on category pages too, often boosting category conversion 15-20%.
2. Use Analytics to Identify Under-performing Query Terms
Google Analytics and similar solutions offer a wealth of insight into site search performance. For E-Commerce merchants, analytics tools correlate site search queries with sales so metrics like number of transactions, total revenue and conversion rate are available. This makes it easy to identify frequently searched queries that have low conversion. Queries that have weak engagement, like those with high bounce rates, are also prime candidates for review. Studying the search terms customers use inside an online store offers a wealth of insight into product demand trends and keyword patterns. Demand trend insight helps merchants more effectively source and merchandise products, opening the door to new revenue opportunities. Customer keyword patterns can offer fresh ideas to improve paid search campaigns.
3. Master the basics: Use Synonyms and Site Search Merchandising
Understanding basic site search features helps merchants address problematic or under-performing queries and maximize revenue for popular searches that already do well. Synonyms offer a simple but powerful tool to map customer search keywords to keywords found in product names and descriptions. This simple feature can solve findability issues when customers use or frequently misspell keywords. Synonyms can even improve search results when brand name or product name searches match common words found in product descriptions. Site search merchandising, another common feature, offers merchants the ability to display promotional messages to customers who search for specific keywords. This provides highly targeted, relevant in-store advertising for things like featured brands or higher-margin items. Merchandising features often allow merchants to customize results which is useful for top search queries. Merchants with a strong grasp of the basics can improve their site search performance dramatically.
Discovery is a big part of value that site search provides shoppers. As shoppers explore an online store’s merchandise they often find it useful to explore by searching. Providing relevant search suggestions as customers type helps guide them in the right direction. Search query autocomplete displays related search queries and sometimes even top product results, is useful to customers.
5. Make sure customers can find items by SKU
Comparison shopping customers and those in automotive or office supply markets frequently search for products using the MPN or similar universal product code. Merchants should ensure that customers can enter all or part of the product code to find the appropriate items.
6. Leverage Historical Search Trends in the Ranking Algorithm
Correlations between individual query terms and the products that are clicked on and purchased is valuable historical data for an E-Commerce site search engine. These correlations can be automatically incorporated into ranking algorithms to promote relevant best sellers higher in the results list, minimizing the risk that shoppers will miss the product that they are most likely to purchase.
Dewey Halden is the Director of Sales at SearchSpring. SearchSpring offers advanced site search, faceted category navigation, Facebook product search, mobile site search, and automated SEO of site search terms for 3D Cart stores
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Recently Scott Zielinski, co-founder of SearchSpring, was interviewed by Practical eCommerce on “How to Make Category Navigation Dynamic”.
http://www.practicalecommerce.com/articles/3096-How-to-Make-Category-Navigation-Dynamic
Sophisticated site search helps consumers find products on ecommerce sites, and therefore increases sales. But site search can also work with faceted category navigation to help consumers too. To explain it, we are joined by Scott Zielinski, co-founder of SearchSpring, a leading search provider.
Practical eCommerce: Your company, SearchSpring, provides sophisticated site-search services. Why do merchants need sophisticated site search?
Scott Zielinski: “The biggest thing is, out of the box, most ecommerce systems offer what I call a ‘white or black’ type search. It lacks many of the advanced features and functionality that a third party search provider can bring. Number one is pure relevancy, allowing the customers to get the expected results they’re looking for when they type in that search term or keyword into the search box.
“Another feature would be stemming. What stemming is going to do is, if I did a search for ‘shirts,’ I’m going to want results for the word ‘shirt’ to come back as well. It also takes in consideration things like punctuation, hyphens and things of that nature. Another capability is offering suggestions, such as ‘Did you mean?’. So if someone were to type in a misspelling, maybe I type in ‘yelow’ with one ‘l’ or something similar to that, it’s going to give me the suggestion of ‘yellow’ with the proper spelling. Another is suggested search terms. Basically, what you can do with that is give your customers suggestions of what they searched or give them suggestions of what they might be looking for based on what they searched for.”
PEC: How does a merchant manage all of that? In your example of shirts, how do merchants know that their users may be typing in, say, “blouse” rather than “shirt”, and make the same results appear, regardless of the term?
Zielinski: “There are two different ways. A lot of it can be done dynamically. If it were things like ‘shirts,’ ‘t-shirts,’ ‘shirt,’ ‘t-shirt’ — based on the hyphen or pluralization — the search system would do that automatically. If the differences are larger, such as ‘blouse’ versus ‘shirts,’ then we have a synonym system built into our console to where they can actually map keywords to other keywords. A common example that I use is if I sell motocross parts and I have several of my customers doing a search for the word ‘rim,’ but yet I use the word ‘wheels’ on all my product descriptions. I can easily create a synonym so that when someone does a search for ‘rim,’ it pulls back the search term for ‘wheels.’”
PEC: Google has its own on-site search feature that is free. Why should merchants pay money for a search solution, versus using a free one?
Zielinski: “There’s a lot of added value that comes with a paid solution. I like to use the term you get what you pay for, but that’s always not necessarily the case. Price really doesn’t dictate the value these days. The solution that you’re going to be getting with a third party provider is going to be a comprehensive administration panel in most cases to really get in there and dial in your search, really fine tune it to what your product set is. You’re also going to get a feature set that’s not going to be available in your ecommerce platform or with Google, things like the faceted navigation, allowing your customers to drill down their search results by color or size, or maybe it’s year, make and model for automotive parts, [and using] the suggested term for ‘Did you mean?’. Also, another characteristics of a lot of third party solutions is being able to leverage historical shopping behavior and make your search become smarter as more people use it by harvesting the shopping behavior from the customers.”
PEC: You mentioned faceted navigation versus regular site search. Which of those two methods is more important to a merchant?
Zielinski: “That question comes up all the time and the answer is they’re both equally important. Analytics will consistently show that visitors who use your search will make up about 15 to 30 percent average of your overall visits, leaving the other 70 percent to use your faceted category navigation. However, the visits with search typically have a conversion rate that is two to three times higher and that’s consistent across all industries. So, analytics will also show that a store’s revenue is almost equally from users who search and users who browse [via faceted category navigation]. So, you may only have 15 to 20 percent of your customers that have actually used search, but it could be driving 50 percent or more of your overall revenue.”
PEC: If a consumer is typing-in a specific product, he is much closer to the buying decision, presumably. Is that it?
Zielinski: “Yes. Typically customers are very schooled in the world of Google today. When they type in the keyword, they expect to get what they’re looking for immediately. I think that’s why the conversion rates are much higher with search. When they type in that keyword on the search, they’re getting to what they’re looking for a lot quicker and more efficient than having to go through a hierarchy of categories. Yet, it’s still a popular way of navigation. Seventy percent or more of customers are still going to be using that method to navigate the site.”
PEC: Faceted category search is frequently rigid, in terms of a consumer going through the different pre-programmed categories. It’s the way that cart is set up, essentially for that type of navigation. But it doesn’t have to be that way, right?
Zielinski: “Yes. There is potentially a magnitude of subcategories for all the possible different product combinations. If I want the customers to really be able to drill down by, say, color and size, I’ve got to create all these different combinations of categories and then that doesn’t even solve the problem because it’s still creating a one-way route to the product in a sense. What SearchSpring has is an Ajax implementation that lies on top of your existing category pages to bring in all the faceting capabilities right to the top-level category page. So, once I hit, say, the ‘auto motor parts’ category, I can quickly select the year, make and model, for example, and it’s going to refine my results right there instantly on the page without me having to figure out the category hierarchy that I need to get to. So, the cool thing about that is that I could maybe pick make first and then model. Maybe another customer will pick model first and then make. But ultimately I’m going to get to the same result set. So, now I have multiple passes that I can take to get to the product that I’m ultimately looking for.”
PEC: Consumers get to the categories and that’s where your dynamic navigation would take over. The merchant can control what it is that the consumer sees after that category page?
Zielinski: “Right. So, instead of having them drilling down into multiple subcategories or having the customer to figure out what your taxonomy is, you could place the Ajax navigation tool right on that top level category and it’s going to bring you back all the facet values or attributes for that result set or those products within that category. They can filter or sort their results by any of those different characteristics instantly and at any different order.”
PEC: Give us an example of a merchant that uses that dynamic category navigation.
Zielinski: “One example would be Lukiegames.com. They sell video games and components. They had a hierarchy of categories: Nintendo, PlayStation, Xbox. They had multiple levels of subcategories that categorize what the products were. They brought SearchSpring right into that top level positioning. So, for example, when you click on Nintendo or Xbox, you’re seeing faceting capabilities instantly on that top level page, which allows you to drill down instantly based on what kind of system it may be, price facets or price ranges and a couple of other characteristics as well and it allows the customers to really find what they’re looking for, for the Nintendo system even quicker. It equates to less clicks.”
PEC: What about implementation? Does the dynamic category navigation work with any cart?
Zielinski: “We try to make it as simple as possible, as plug and play as possible. The Ajax system really deploys with a couple lines of JavaScript and a couple ‘div’ tags. So, I guess the answer to that question is as long as you have some sort of template access to those pages, it’s very doable and, in fact, for every single shopping cart that we’ve worked with to date, we have not run into a problem. So, I can say right now, it’s version compatible with every single shopping cart. We’ve also directly integrated it with BigCommerce, Volusion, Yahoo!, Miva Merchant, Magento.”
PEC: How do merchants actually implement your solution?
Zielinski: “Everything is data feed driven. Once we have a data feed of your products — and in most cases for a lot of shopping carts, we have a direct API integration so we won’t even need a data feed. You tell us the shopping cart you’re on, and we access that data. Once we have the data, we can go in and configure your fields, we’ll set up your search and really get it dialed in to your liking and what’s best for your product set. The integration process is really painless for our merchants. Not only is it wizard-based — point and click in our administration panel — but we have a full support team that will walk you through the process and in a sense do 99 percent of the integration for you. We’re here to make sure that merchants get the best value from the product and the best experience. We’re here to cater to the developers, too, that want to get in there and take a stab at it on their own and really hack it up and style it up. Then we have the customers that don’t know anything about design or HTML and we’ll go in and we do that completely for them as a service.”
PEC: What does SearchSpring cost?
Zielinski: “Rate plans start out at $99 per month and go up from there. It’s all based on usage. We have bucket pricing, so it’s real cut and dry. There’s no special prices based on quotations or anything like that. It’s you paying for what you’re using.”
PEC: That’s the cost. It starts at $99 per month. What have you seen in terms of conversion increases or sales increases by switching over to a dynamic solution?
Zielinski: “I’m going to reference Lukie Games, again. They recently implemented our site search and the faceted category navigation and they were able to attribute an immediate 27 percent jump in sales with no other changes in ad spent or seasonal changes. Their average order values went up; the time spent on pages went up; page views also moved up significantly. So, they saw a huge response and this is pretty common amongst our clients. We have a tie-in with Google Analytics right in your dashboard. So, when you log in to your SearchSpring console, the first thing you’re going to see is what kind of revenue is my site search generating for me and we make those numbers really cut and dry for you so you can see exactly what’s going on.”
PEC: Tell us about SearchSpring. When was it founded, who owns it, that sort of thing.
Zielinski: “SearchSpring was founded about four years ago by me and Gareth Dismore, our CTO [chief technical officer]. We’re a site search and category navigation provider. We’ve been in the business for about 11 years prior to becoming ‘searchologists.’ We were Internet consultants, building out enterprise-level platforms. So, it gave us a really good understanding of what our customers are looking for and what the best solution is.”
PEC: Anything else on your mind for our readers?
Zielinski: “There are so many different things that you can take into consideration when you think about site search. A few years ago, when you heard the term site search, you would attribute that to typing a keyword into the search box and receive your search results. But site search is a lot more to that these days. We’ve got the category navigation that can be powered by your site search. We’ve also got mobile implementations now. With the world of mobile growing and growing, that is another consideration you have to take in too. We can bring site search into your Facebook page, allowing your customers to engage with your products, do search and navigation there. We’ve got different mechanisms for learning about your shopper’s behavior and ultimately applying that to your category navigation as well as site search.”
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Shoppers who search convert 2x – 3x higher than users who browse. Its consistent across the ecommerce industry. So, while only 20% of your users may use search, they can contribute nearly half of your site’s revenue!
And the results are in: Faceted navigation on your category pages is the best method for converting more shoppers who browse. The giants of the ecommerce industry have proven it (Amazon, Dell, Zappos, and many others).
In this webinar you will learn:
- How to add conversion-boosting site search and faceted navigation to your 3dcart store
- How to optimize results ranking in a number of ways
- How to leverage historical shopper query trends and behavior
- How to merchandise based on shoppers’ query terms and refinement clicks
- Engage Facebook fans with your products
- Maximize your mobile site’s revenue with search and navigation
- Automate the SEO of your shoppers’ site search terms.
When: Wednesday, September 28th, 2011, 2PM Eastern, 11AM Pacific
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Who doesn’t love ice cream? We’re on the hunt for a talented web developer to join our team. To help find the best candidate, we’re offering a sweet reward to anyone who refers a candidate that works out.
Here’s the deal:
Refer a qualified candidate, we’ll interview them and make sure there’s a good fit on both sides, finally we’ll hire them and bring them on board. After accepting the job, we’ll send the person who referred the candidate 4 pints of the best ice cream Ohio (ah, probably America) has to offer!

We ❤ Jeni’s ice creams because it’s lovingly produced in small batches in Columbus, OH (where our tech office is located). It’s made from locally grown organic ingredients and features cream made from pasture-grazing cows. Most importantly, Jeni’s tastes AMAZING!
So help spread the word! Here’s the official job description and programming challenge for applicants: SearchSpring Web Developer Job
Be sure to tell us when you refer a candidate.