Smartlook is an analytics solution tool for websites, iOS/Android apps, and various app frameworks, that answers the "whys" behind users' actions. It helps users understand precisely how customers interact with website and app — watch recordings, create heatmaps, use automatic tracked events, and build conversion funnels. Data is seen on one central dashboard, which enables sharing and collaborating with colleagues. This is to support clear, data-driven decision-making for product managers,…
$55
per month 5000 sessions
Twilio Segment
Score 8.5 out of 10
N/A
Segment is a customer data platform that helps engineering teams at companies like Tradesy, TIME, Inc., Gap, Lending Tree, PayPal, and Fender, etc., achieve time and cost savings on their data infrastructure, which was acquired by Twilio November 2020. The vendor says they also enable Product, BI, and Marketing teams to access 200+ tools (Mixpanel, Salesforce, Marketo, Redshift, etc.) to better understand and optimize customer preferences for growth— all integrations are pre-built and…
$120
per month
Pricing
Smartlook
Twilio Segment
Editions & Modules
Pro
$55
per month 5000 sessions
Free
Free forever
per month 3000 sessions
Enterprise
Custom pricing
Free
$0.00
Includes 1,000 visitors/mo
Team
$120.00
Includes 10,000 visitors/mo
Business
Contact Sales
Custom Volume
Offerings
Pricing Offerings
Smartlook
Twilio Segment
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
All Smartlook packages support both web and mobile app platforms.
Smartlook is best for screen recordings. Especially when you are running MVPs. However, its pricing is very high. If your daily visitors are too much then either you will have to lose many of your recordings or you will have to pay too much money.
Best suited: - Merging emails coming from: Facebook leads forms, Unbounce or landing pages forms, Google forms, any other kind of lead generation tool and bundling all that information together for a single user "profile". - Passing events generated in multiple applications by the same user (product selected in web, product discarded in cart, etc) and delivering those events into other applications (like a CRM) Less appropriate: - Reading/updating data directly from segment from a frontend application
Multi-platform. Segment has easy integrations in many different web, backend, and app platforms/frameworks. We use the Segment SDK in Android and iOS as well as our node.js backend.
Segment is fairly affordable for early-stage companies that are trying out different analytics software. The "developer" plan is free and is suitable for most companies with products that have a small user base.
The UI is great! It is extremely intuitive and easy-to-learn, and this made it take very little time to integrate this software into our analytics and marketing workflows.
More and richer sources. For example, MailChimp is a source but the data you get from MailChimp is quite limited. I ended up writing my own scripts to take better advantage of MailChimp's API because Segment's integration was lacking.
Better examples on how to set up event tracking. Pageview tracking is easy enough, but it would be nice if they had a sample app and corresponding code for it and showed you, via Git commits, how to add various kinds of events.
As my ratings show, I have been absolutely delighted with Smartlook in terms of usability, cost, support, and its benefit to our organization. I have given it such high ratings because I think it has really benefitted our organization and I think it could do the same for other companies too.
Every page, the tool setup pages and dashboards are built very well, the site structure is perfectly designed and intuitive to use. All functions are well documented and the help sections are really everywhere, you don't have to search for answers, as they are just popped up or max. a click away for your service.
Sofia P. is being our point of contact with the issues we faced. I was unsure about how to explain to her what was going on with the recording numbers (the recording has stopped before we were expecting to), but she readily understood and came with a solution for us in the same day. The problem was blocking our developer to test the integration, so it was great to have support so fast that he could continue his work.
Over the period it took us to set up, we kept going back to their enablement team to help us with the setup, and they were always ready and were very helpful in the entire process. Even with their documentation, they took the time out to help us work through the process. We've never had a message/email unanswered for more than an hour on working days.
It has been a year between the time when I last used Hotjar and first started using Smartlook. I would say both tools are more or less equal when it comes to features, the only 2 differences I can think of are - price and customer support. Smartlook is cheaper and has superior customer services. You have the feeling when interacting with them that they genuinely care.
I'm not sure these are "official competitors" (or alternatives) to Segment, but we use them in parallel for different goals. We use Datadog for logging and monitoring and we use Mixpanel to perform data analysis based on the data we gather using Segment (and other sources). I don't think we ever evaluated any other service vs. Segment. I think we got a recommendation on Segment, liked it and decided to use it (and we're happy with it since).
Smartlook is used by different individuals from different organizations to have insights into different parts of products. It is used as the sole developer of our website as well as marketing campaigns.
Smartlook has an amazing feature which is tracking the activities of return users.
Segment has enabled us to get a full view of our front end activity, join it to our back-end activity, and get full visibility into our funnels and user activity.
Segment lets us send events to ad tools with a full audit trail so all the numbers line up.
Segment also brings data from other sources into our data warehouse, saving our data engineering time from building commodity connectors.