What is Gorgias and what are its top alternatives?
Gorgias is a customer support platform that integrates with e-commerce platforms to help businesses efficiently manage their customer support tickets. Key features include a shared inbox, macros for automating responses, integration with various e-commerce platforms, and advanced reporting capabilities. However, Gorgias can be expensive for small businesses and lacks some advanced customization options.
- Freshdesk: Freshdesk is a popular customer support software that offers multi-channel support, automation features, and a user-friendly interface. Pros include a generous free plan for small teams and robust ticketing management. However, some users find the reporting capabilities to be limited compared to Gorgias.
- Zendesk: Zendesk is a comprehensive customer service platform that offers ticketing, live chat, and call center solutions. Key features include a customizable interface, automation tools, and detailed analytics. Compared to Gorgias, Zendesk may have a steeper learning curve for new users.
- Intercom: Intercom is a messaging platform that combines live chat, email marketing, and customer support tools. Pros include a seamless integration with websites and mobile apps, as well as advanced targeting capabilities. However, Intercom may be pricier than Gorgias for small businesses.
- Help Scout: Help Scout is a simple help desk software that focuses on collaboration and automation. Features include shared inboxes, saved replies, and reporting tools. Compared to Gorgias, Help Scout lacks some of the advanced automation features.
- Drift: Drift is a conversational marketing platform that offers live chat, chatbots, and email automation tools. Pros include a modern conversational interface and powerful lead generation features. However, Drift may not be as focused on customer support as Gorgias.
- Zoho Desk: Zoho Desk is a cloud-based help desk software that offers ticketing, knowledge base, and self-service portals. Key features include AI-powered automation, multichannel support, and customizable workflows. Compared to Gorgias, Zoho Desk may have fewer integrations with e-commerce platforms.
- Kayako: Kayako is a customer service platform that combines live chat, email, and social media support. Pros include a comprehensive help desk solution, customer journey mapping, and real-time performance metrics. However, Kayako may have a higher starting price point than Gorgias.
- LiveAgent: LiveAgent is a multichannel help desk software that offers live chat, email support, and social media integration. Features include automation tools, ticket merging, and satisfaction surveys. Compared to Gorgias, LiveAgent may not have as advanced reporting capabilities.
- Desk.com: Desk.com is a customer support software from Salesforce that offers case management, self-service portals, and knowledge base tools. Pros include seamless integration with Salesforce CRM and robust collaboration features. However, Desk.com may be more suitable for enterprise-level businesses compared to Gorgias.
- HappyFox: HappyFox is a cloud-based help desk software that offers ticketing, live chat, and knowledge base solutions. Key features include automation rules, custom reports, and robust integrations with popular third-party apps. However, HappyFox may not have as intuitive a user interface as Gorgias.
Top Alternatives to Gorgias
- Zendesk
Zendesk provides an integrated on-demand helpdesk - customer support portal solution based on the latest Web 2.0 technologies and design philosophies. ...
- FreshDesk
Freshdesk is an on demand customer support software that works across multiple support channels. ...
- Intercom
Intercom is a customer communication platform with a suite of integrated products for every team—including sales, marketing, product, and support. Have targeted communication with customers on your website, inside apps, and by email. ...
- Reamaze
Reamaze can handle your support@ email box just as well as it can handle your in-app support and live chat. Or Facebook Page. Or Twitter handle. ...
- Tidio
It is a live chat service which allows you to communicate with your customers easily, also with the help of chatbots. It is designed specifically for the WordPress community. ...
- Kustomer
Intelligent CRM For Support Teams. Kustomer is an evolution beyond traditional support applications that unifies all of your customer data and interactions. The user experience is built around the customer so you can treat them like people ...
- JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...
- Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...
Gorgias alternatives & related posts
- Centralizes our customer support135
- Many integrations72
- Easy to setup59
- Simple26
- Cheap26
- Clean12
- Customization7
- $1 Starter Pricing Plan4
- Woopra integration4
- Proactive Customer Support3
- Charitable contribution to SF hospital for $20 plan1
- Full of features1
- Remote and SSO authentication with CMSs like WordPress1
- Integrations0
related Zendesk posts
Zapier is one of our favorite tools in our stack. We automate the entire company with Zapier. When a lead fills out the form on our website, it creates an opportunity on Zendesk. We have an entire pipeline of automation that goes from our website, to Zendesk, it then creates a contract in Pandadoc and creates an invoice in Xero.
I will like to know, which chatbot can be compared with Zendesk/Zopim if there's a need to migrate?
FreshDesk
- Omnichannel capabilities3
- Centralizes our customer support2
- Great Value for Money2
- Cheap1
related FreshDesk posts
- Know who your users are168
- Auto-messaging115
- In-app messaging as well as email107
- Customer support88
- Usage tracking68
- Great Blog18
- Organized engagement, great ui & service11
- Direct chat with customers on your site9
- Very helpful4
- Onboarding new users3
- Tirman2
- No Mac app2
- Free tier2
- Filter and segment users2
- Github integration2
- Very Useful2
- Changes pricing model all the time7
related Intercom posts
As a small startup we are very conscious about picking up the tools we use to run the project. After suffering with a mess of using at the same time Trello , Slack , Telegram and what not, we arrived at a small set of tools that cover all our current needs. For product management, file sharing, team communication etc we chose Basecamp and couldn't be more happy about it. For Customer Support and Sales Intercom works amazingly well. We are using MailChimp for email marketing since over 4 years and it still covers all our needs. Then on payment side combination of Stripe and Octobat helps us to process all the payments and generate compliant invoices. On techie side we use Rollbar and GitLab (for both code and CI). For corporate email we picked G Suite. That all costs us in total around 300$ a month, which is quite okay.
Vue.js Intercom JavaScript Node.js vuex Vue Router
My SaaS recently switched to Intercom for all customer support and communication. To get the most out of Intercom, you need to integrate it with your app. This means instrumenting some code and tweaking some bits of your app's navigation. Checkly is a 100% Vue.js app, so in this post we'll look at the following:
- Identifying a user with some handy attributes
- Getting page views right with Vue Router
- Sending events with Vuex
- Some nice things you can now do in Intercom
After finishing this integration, you can actively segment your customers into trial, lapsed, active etc. etc.
related Reamaze posts
related Tidio posts
Hi everyone, I'm a small business owner and I would like to know in terms of pricing and setting up which of these apps would be better. I'm currently using Shopify store and if I compare the price, ManyChat is around $15 for 1000 contact but Tidio price is $39 for unlimited chatbot yet i couldnt make decision which chatbot should i use and if you have use this both, would you give me some opinion so i can make better choice. thank you in advance.
related Kustomer posts
JavaScript
- Can be used on frontend/backend1.7K
- It's everywhere1.5K
- Lots of great frameworks1.2K
- Fast896
- Light weight745
- Flexible425
- You can't get a device today that doesn't run js392
- Non-blocking i/o286
- Ubiquitousness236
- Expressive191
- Extended functionality to web pages55
- Relatively easy language49
- Executed on the client side46
- Relatively fast to the end user30
- Pure Javascript25
- Functional programming21
- Async15
- Full-stack13
- Setup is easy12
- Its everywhere12
- JavaScript is the New PHP11
- Because I love functions11
- Like it or not, JS is part of the web standard10
- Can be used in backend, frontend and DB9
- Expansive community9
- Future Language of The Web9
- Easy9
- No need to use PHP8
- For the good parts8
- Can be used both as frontend and backend as well8
- Everyone use it8
- Most Popular Language in the World8
- Easy to hire developers8
- Love-hate relationship7
- Powerful7
- Photoshop has 3 JS runtimes built in7
- Evolution of C7
- Popularized Class-Less Architecture & Lambdas7
- Agile, packages simple to use7
- Supports lambdas and closures7
- 1.6K Can be used on frontend/backend6
- It's fun6
- Hard not to use6
- Nice6
- Client side JS uses the visitors CPU to save Server Res6
- Versitile6
- It let's me use Babel & Typescript6
- Easy to make something6
- Its fun and fast6
- Can be used on frontend/backend/Mobile/create PRO Ui6
- Function expressions are useful for callbacks5
- What to add5
- Client processing5
- Everywhere5
- Scope manipulation5
- Stockholm Syndrome5
- Promise relationship5
- Clojurescript5
- Because it is so simple and lightweight4
- Only Programming language on browser4
- Hard to learn1
- Test1
- Test21
- Easy to understand1
- Not the best1
- Easy to learn1
- Subskill #41
- Hard 彤0
- A constant moving target, too much churn22
- Horribly inconsistent20
- Javascript is the New PHP15
- No ability to monitor memory utilitization9
- Shows Zero output in case of ANY error8
- Thinks strange results are better than errors7
- Can be ugly6
- No GitHub3
- Slow2
related JavaScript posts
Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.
But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.
But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.
Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
- Distributed version control system1.4K
- Efficient branching and merging1.1K
- Fast959
- Open source845
- Better than svn726
- Great command-line application368
- Simple306
- Free291
- Easy to use232
- Does not require server222
- Distributed27
- Small & Fast22
- Feature based workflow18
- Staging Area15
- Most wide-spread VSC13
- Role-based codelines11
- Disposable Experimentation11
- Frictionless Context Switching7
- Data Assurance6
- Efficient5
- Just awesome4
- Github integration3
- Easy branching and merging3
- Compatible2
- Flexible2
- Possible to lose history and commits2
- Rebase supported natively; reflog; access to plumbing1
- Light1
- Team Integration1
- Fast, scalable, distributed revision control system1
- Easy1
- Flexible, easy, Safe, and fast1
- CLI is great, but the GUI tools are awesome1
- It's what you do1
- Phinx0
- Hard to learn16
- Inconsistent command line interface11
- Easy to lose uncommitted work9
- Worst documentation ever possibly made7
- Awful merge handling5
- Unexistent preventive security flows3
- Rebase hell3
- When --force is disabled, cannot rebase2
- Ironically even die-hard supporters screw up badly2
- Doesn't scale for big data1
related Git posts
Our whole DevOps stack consists of the following tools:
- GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
- Respectively Git as revision control system
- SourceTree as Git GUI
- Visual Studio Code as IDE
- CircleCI for continuous integration (automatize development process)
- Prettier / TSLint / ESLint as code linter
- SonarQube as quality gate
- Docker as container management (incl. Docker Compose for multi-container application management)
- VirtualBox for operating system simulation tests
- Kubernetes as cluster management for docker containers
- Heroku for deploying in test environments
- nginx as web server (preferably used as facade server in production environment)
- SSLMate (using OpenSSL) for certificate management
- Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
- PostgreSQL as preferred database system
- Redis as preferred in-memory database/store (great for caching)
The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:
- Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
- Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
- Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
- Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
- Scalability: All-in-one framework for distributed systems.
- Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).
It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up
or vagrant reload
we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.
I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up
, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.
We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.
If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.
The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).
Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.