A solid tool suited for a solid optimization programme (emerging up to connected)
Updated May 03, 2024
A solid tool suited for a solid optimization programme (emerging up to connected)
Score 8 out of 10
Vetted Review
Overall Satisfaction with Optimizely Web Experimentation
As an agency we service many clients with the Optimizely tech, I personally help them establish the tech and support their everyday optimization needs to ensure success of their optimization programme.
Pros
- Strong Reporting
- Multi account / Multi environments / advanced settings
- Javascript injection at various levels
- You rarely find yourself limited in your everyday optimization
Cons
- UI sometimes slow
- WYSIWYG can be clunky
- So many ways to do things that it's sometimes hard to know what is the "right way"
- Might be a bit offputting for non-technical people
- Money saved not investing in feature/design initiatives showing insignificant effect
- Increased conversions/revenue from implementing successful experiments
- Increase in Leads / Sales / AOV for our clients etc..
- Media efficiency
When working at Canon we used Optimizely with the personalization engine connected with Tealium audience stream which was a great combo to target audiences real-time and enable personalization on user-behaviour.
We also used the recommendation engine which when correctly setup (tagging the right data points throughout the experience) can prove to be a strong one.
We also used the recommendation engine which when correctly setup (tagging the right data points throughout the experience) can prove to be a strong one.
Stronger audiences, expanding the realm of what's possible when it comes to personalizing the user experience.
The segmentation allows for understanding the performance of campaigns for specific device or channels which can lead to interesting personalization and richer understanding of the performance of tests The Goal tracking helps capture more behaviour data on the variants we deliver the 3rd party integrations help carry over test data to other qual & quant platform for richer analysis & next steps
> Adobe's pretty cool for its recomentation / AI / ML engine > VWO's wysiwyg is pretty solid and the heatmapping is nice > abtasty's consent features are pretty cool to launch patch and AB Test Consent Rate > Monetate & Dynamic Yield's pre-built personalization features help non-devs deliver solid personalization campaigns > DY's user profiling is pretty solid with Affinity-profile built as user explore the site > WebtrendsOptimize is very customizable and the support team very proactive
Do you think Optimizely Web Experimentation delivers good value for the price?
Yes
Are you happy with Optimizely Web Experimentation's feature set?
Yes
Did Optimizely Web Experimentation live up to sales and marketing promises?
Yes
Did implementation of Optimizely Web Experimentation go as expected?
Yes
Would you buy Optimizely Web Experimentation again?
Yes
Optimizely Web Experimentation Feature Ratings
Using Optimizely Web Experimentation
20 - A large group of people utilizes Optimizely in our company: Experience Optimization Managers for the operational (running the weekly reports, setting up the targeting and the goals, launching and controlling the quality of the setup), Analysts for tracking and integrations, Developpers to work on the delivery of campaigns and Quality Assurance to review the work delivered.
20 - A large group of people utilizes Optimizely on an ongoing basis since we're an agency: Experience Optimization Managers for the operational (running the weekly reports, setting up the targeting and the goals, launching and controlling the quality of the setup), Analysts for tracking and integrations, Developpers to work on the delivery of campaigns and Quality Assurance to review the work delivered.
- AB Experiments
- Personalizations
- MVT Experiments
- Redirect Experiments
- always-on personalizations
- user profiling/segmentation
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