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Great data viz tool w/ excellent customer service
What do you like best about the product?
The onboarding process was painless. My team and I felt incredibly supported by the indicative team. We explained our goals and the cohort analyses we wanted to run, and the team helped us utilize loads of cool features to help us understand customer behavior.
What do you dislike about the product?
Some features aren't all that intuitive. Customizing dashboards is fun, but the drag + drop function for moving query previews around is a little clunky if you have a lot of queries in a dashboard. Overall, not too much to complain about.
What problems is the product solving and how is that benefiting you?
Indicative helps us understand customer cohorts and the funnel in a way that aligns our teams. The biggest benefit my team has found is the ability to create dashboards centered around OKRs.
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Simple but powerful tool
What do you like best about the product?
Indicative offers an intuitive way to analyze your data without overloading you with too many options. Especially the User Journey can be discovered in multiple dimensions.
What do you dislike about the product?
The Dashboard overview can be improved. Sometimes it's hard to get a quick overview without diving too deep into the single saved questions. It would be great to do this more efficient.
What problems is the product solving and how is that benefiting you?
Indicative solves the issue to give you an overview of the user's path to your product. The benefits are pretty simple. You can optimize the journey and decrease churn rates.
it works for what i need
What do you like best about the product?
i like that the funnels are straight forward
What do you dislike about the product?
i wish i could add additional "side funnels" within the same analysis?
for example if i got a segment of people, to find out how much they spent i would need to make a new indicative funnel
for example if i got a segment of people, to find out how much they spent i would need to make a new indicative funnel
What problems is the product solving and how is that benefiting you?
we didnt have a way to measure impact previously from our braze campaigns so this is super useful
New to Indicative, but so far so good!
What do you like best about the product?
Our org just started using Indicative. As I'm on the marketing team, I can't speak much to the technical onboarding details, but our rep has been very helpful so far in helping the marketing team build dashboards and talk through scenarios. The tool is pretty easy to use but also quite powerful at the same time.
What do you dislike about the product?
The only pet peeve and a very small nitpick at this time is that when you duplicate a query on a dashboard, it sometimes shows up at the bottom and you have to drag it up without scrolling (so literally move it up by one space at a time). A very small thing and probably not something that we'll need to continuously do in the future.
What problems is the product solving and how is that benefiting you?
We're able to get a single source of truth. Marketing can now self serve a bunch of metrics and dashboards without requiring data team's help.
Easy to use software for analyzing experiments
What do you like best about the product?
The ability to quickly set up a variety of reports within minutes without the need to know how to write SQL.
The visualizations and flexibility is great.
Our team uses Indicative every day for running experiments on a variety of teams.
The visualizations and flexibility is great.
Our team uses Indicative every day for running experiments on a variety of teams.
What do you dislike about the product?
I wish the company had more educational material to learn the tool. They have great onboarding with their team, but it's difficult to self-serve at times.
Video demos to show the power of the tool would be welcomed.
The tool should also provide a calculation for statistical significance. We need to go to a separate tool for that.
Video demos to show the power of the tool would be welcomed.
The tool should also provide a calculation for statistical significance. We need to go to a separate tool for that.
What problems is the product solving and how is that benefiting you?
We are trying to answer simple questions about our users/products and to determine which experiments are winners and which ones are losers.
Our team can work much faster and without the need for data analysis experts on every project.
Our team can work much faster and without the need for data analysis experts on every project.
Recommendations to others considering the product:
Make sure your team has all their data set up/funneling properly before using Indicative. Indicative is only as good as the data that it uses.
Very easy to use and view data. Simple UI enabled to query data quickly
What do you like best about the product?
Really enjoyed the ease of use of the Dashboard. Was simple to save new Data Queries and select the parameters and/or actions to view data. Integrated into our system very seemlessly.
What do you dislike about the product?
Some of the UI can be a little too simplified. Would have liked a SQL/Data querying language to build custom queries by programming it. A Night or Dark mode would be great!
What problems is the product solving and how is that benefiting you?
We are trying to gather User Events and establish user behaviour as to why they would choose certain actions within our mobile application. We also create reports based on the Indicative Data that we share with customers.
Good data visual but limited capabilities
What do you like best about the product?
It's great for non-BI users. Easy to build visuals such as line charts and bar charts.
What do you dislike about the product?
It's very limited on what you can do. Can't query within the tables. It's not made for someone with more than mid-advanced experience with BI tools.
What problems is the product solving and how is that benefiting you?
Easy, quick visualizations.
Really useful tool
What do you like best about the product?
Being able to easily visualize customer journey
What do you dislike about the product?
Not able to parse out syntax from json fields for example
What problems is the product solving and how is that benefiting you?
Trying to understand the customer journey. It's so much quicker to do this in Indicative than to write SQL with nested joins
Ideal CDP for Growth Marketing Stack
What do you like best about the product?
mParticle allows us to capture data from many sources into a single platform and then distribute it as-needed to other systems that would otherwise not be able to capture it directly.
What do you dislike about the product?
Only downside: you need to know your data strategy. mParticle is powerful but its true power is harnessed through a thoughtful data strategy that directly solves use cases needed for your tech stack and team needs.
What problems is the product solving and how is that benefiting you?
We're able to better understand our customers. Specifically, we're able to capture event data and leverage the data within those events to create segments in downstream systems to deliver 1:1 personalized communication.
Recommendations to others considering the product:
Determine your data goals, work with your mParticle team to set up and implement your data strategy, and monitor your data as it comes in for meaningful and actionable insights!
Simple and effective
What do you like best about the product?
Navigating the customer data platform market can be challenging for any business, especially when your expertise is not technology. At Nova Entertainment we required a simple but effective solution to be provided by someone that understood our business. The mParticle team were incredibly attentive through the selection process and committed to helping make sure the implementation of a customer data platform in our business was a success.
What do you dislike about the product?
Not having the team located here in Australia originally was not ideal however, the mParticle team continues to grow and we take assurance from that. Connectors and integrations are always a challenging one and we did find a couple of instances where data feeds from other platforms required transforming before ingestion into mParticle.
What problems is the product solving and how is that benefiting you?
We implemented mParticle to streamline data collection across our assets where we collect both registration and behavioural data from our audiences. The main need was to standardise that collection, collect behavioural data to then be appended to user profiles and then stream clean data to downstream platforms for activation and utilisation.
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