FAQ

Max signal, low noise: Our insight generator is based on a thorough understanding of your KPIs and goals. This enables us to generate more impactful insights and suggest next steps to reach your KPI targets. Data analyst bot: Our deep dive chatbot tool allows you (i.e., the marketer on the ground, manager, director, VP, CMO) to deeply explore and understand your data as a marketer without the assistance of a data analyst. Customization: Our curated insights are personalized for each marketer on the team differently. This is based on their own goals, style of working and past actions. A tool that adapts to you Star AI team: Our team has more than 30 years of combined experience analyzing and optimizing the entire growth funnel of LinkedIn using the most advanced tools in AI and data science.

Our algorithms detect anomaly events that warrant your attention. We go a few steps further to (i) identify hypotheses for root cause, (ii) gather supporting evidence for those hypotheses, and (iii) suggest potential next steps. All of us know the feeling of panic when we see a KPI suddenly dropping and the dread of an open-ended investigation to hunt down the potential cause. We are building a deep understanding of marketing and product funnels to chalk out the entire customer journey across the two. Our product will assist the two teams to work together more effectively. We have all had ideas - both small ones and big. And most of them are never explored because we don't have the bandwidth to do all the necessary data work. With our data analysis chatbot (which will evolve into a more powerful copilot over time), you can now explore your ideas in minutes.

The deep dive section is a chat-based component of the copilot that is aware of all your datasets, your KPIs and past successes and failures. This copilot component is built on top of foundational models and fine-tuned with your data (mentioned above) and the current ongoing conversation to provide the right answers. Similar to ChatGPT and other popular chat-based products, we provide functionality to store a deep dive and pick up the conversation from where you left.

Retention: We store your data from the past 2 years. This enables us to get some y/y comparison points. For initial analyses & onboarding, we can work with 3 or 6 months' data. And then increase the data window to 1 year and 2 years later. All your data is deleted when you choose to delete your account. Any data falling outside the 2 year window is also automatically deleted. Privacy: We use your data only to power and improve your product experience. Your data is not used in any way to benefit another customer. We collect aggregate statistics of how you and other customers use our product (e.g., frequency of feature used, backend system latencies) to determine overall product improvements. The granularity of data that we work with is the finest granularity of data you are already collecting. This aspect of data privacy is your responsibility and is the privacy contract you have with your users, which we will also adhere to.

We like to think of data integrations in three categories: Ad platforms: Meta, Google Ads, TikTok, Snap, Pinterest, LinkedIn First party data: Google Analytics, Amplitude E-commerce specific transactional data: Shopify, Stripe We are exploring onboarding customers with a lot of data sources with existing vendors like Supermetrics.

If this is core to your business, we will work on integrating it. We will start by getting a sample of your data (via excel/Google sheet or any mode that you are comfortable sharing) and demonstrating the value of our tool. In parallel, we will work on the integration

The feed section is refreshed daily (frequency can be increased based on needs) with a daily data processing pipeline. The pipeline is tuned to: Pull data from the data sources (APIs, excel sheets, et al) we have integrated with. We use both daily and hourly granularities based on data availability. Identify anomalies in the data pulled. Our algorithms will consider your goals, and your actions on previously suggested insights to rank the insights in descending order of impact.

The default setup is daily. We are open to doing it much more frequently (e.g., hourly) based on the need.

Yes, of course. We will support very simple exports of all artifacts. This includes: • Copy paste any text message from our chat. • Export any graph as a png • (WIP) Generate a report from a chat. • (WIP) Export a graph or chat element with surrounding context.

Not yet. It's on our to-do list and should be available later this year.

The metrics we track are defined by two key factors: The data platforms we integrate with (and the metrics for your data that they provide through their API) The metrics tracked in your datasets that you share directly with us As part of onboarding, we will ask for your most important KPIs and any non-trivial logic (if applicable) that is used to compute them. We will also be building a data dictionary of the important metrics and how we compute them (which table(s), which column, any further transformation). This data dictionary will be accessible to you so you can suggest corrections at any point.

You can do both of these through our chat product. We will introduce functionality later to directly edit the data dictionary as well.

We will create the dashboards you are most interested in an ad-hoc fashion initially. We are building product functionality that will allow you to create your own dashboards using any data sources you have integrated with. As part of that functionality, we will also build access controls. We do not intend to have a replacement for the most popular dashboarding tools like Looker or Tableau initially, which have exhaustive coverage of all the dashboards and dashboard types you may need. Instead, our focus will be to show you the most important dashboards within our tool to help you seamlessly explore and act on most of your critical insights.

Your support team will be made up of our founding team for the next few months, which is also when you are most likely to need more critical support. Our founding team is a deeply technical team who are building this tool from scratch and are perfectly suited to help you get the most out of it.

Until we provide functionality to edit your data dictionary and KPIs, and build new dashboards, we will use the Slack channel and (bi)weekly syncs to discuss such requests.

Not yet. It's on our to-do list and should be available later this year.

We will be providing time-sensitive and tactical support through a shared slack channel (through slack connect). Or through Teams for orgs that do not use Slack. During the onboarding phase, we would meet with the team once a week (preferred) or once in 2 weeks to get product feedback and discuss more strategic points. Or anything else the team would like to discuss. As the product matures, the weekly or biweekly syncs may be unnecessary. But we will continue to provide support through Slack/Teams. We also expect our chatbot to become more helpful over time on many such queries

We aim to surface any insight that is obtainable from across the data sources we are ingesting. We are working towards eventually covering all insight types and the required analysis types to get those insights. We will be happy to prioritize our roadmap on the insight types that matter most to you. We do not aim to provide auxiliary data sources that you do not already have. An example of an auxiliary data source would be proprietary data about competitors that is not available on the public web.

Our preference is to work with marketing teams (both agencies and in-house marketing teams) of 5+ people. Other aspects of scale (budget, traffic, transactions) are largely reflected in the team size.

The insights feed is our primary daily reporting tool, and we will build support for receiving notifications (via email or Slack) for critical insights. Results will be available based on regular scans of the data (you can configure how many times a day you'd like us to compute new insights). We do not currently plan to process the data in real-time due to unavailability of real-time data via APIs and/or high cost. However, we are happy to understand your specific needs and discuss how to best serve them.

The first contract will be a free trial for 3 months. We will also sign mutual NDAs to provide IP protection for you and us. Setup timeline: 2-3 weeks, with effort on your side limited to 4-5 hours (all inclusive). Your effort will involve (i) preparing initial datasets to evaluate our tool prior to integration, (ii) meeting with us to discuss your data and KPIs and answering our questions during onboarding, (iii) (Minor) Integration of your data sources via APIs - this should be a few clicks and very lightweight. After the first 4-6 weeks, we will assess a plan to move forward. We anticipate one of the following possibilities: • Good fit: Your team is finding value from our tool. In this case, we will discuss the plan beyond the trial period. Our pricing plan is going to be per seat with a variable component for amount of usage (to cover compute costs for heavy usage). We would also love to understand what additional features you'd like us to build to make this tool more compelling for you. • Not a good fit: Our tool is not a good fit for your team given your operating priorities and current tools. In this case, we will terminate the free trial on a mutually agreed upon date (at or before the 3 month period).

We do not charge any management fees based on the amount of budget being managed by your team, or the number of clients you are supporting. Our pricing, as mentioned above, will only be based on number of seats and amount of product usage. The per-seat cost may depend on the number of data sources we have to integrate, and amount of data we need to store/process.

We will ingest from any data source, including third party tracking technologies. Some of these platforms have APIs, which we can directly integrate with

Since we are early in our product building, you will have an opportunity to influence our roadmap much more than you would for most other products. A product catering to your requirements should be a good starting point to get a lot of value. During onboarding, we will set up your account customized to your specific needs. Over time (with usage), each individual account within your org will be customized to that individual's focus areas and working style. We will be working closely with you for the first 2-3 months to further ensure that you are set up for success.

We leverage the attribution logic/software that you are currently using. We do not provide our own attribution logic.

This depends on what you'd recommend, as long as you have that tracking data available. If you have multiple datasets reflecting different attribution logic, we can provide multiple answers (one from each dataset).

No, we do not have measurement instrumentation for offline sales. We can suggest experiment designs for offline sales and will rely on you to bring back the data from the experiment to then help you determine effectiveness and next steps.