Customer Data Analytics software
Updated: March 08, 2020
2020. mParticle raises $45M to help marketers unify customer data
mParticle, which helps companies like Spotify, Paypal and Starbucks manage their customer data, is announcing that it has raised $45 million in Series D funding. The company has benefited from broader shifts — like new privacy regulation and the shift away from cookie-based browser tracking — that increase brands’ needs for a platform like mParticle that uses “modern data infrastructure” to deliver a personalized experience for customers without running afoul of any regulations. Perhaps for that very reason, a whole industry of customer data platforms has sprung up since mParticle was founded back in 2013, all offering tools to help marketers create a single view of their customers by unifying data from various sources. Even big players like Adobe and Salesforce have announced their own CDPs as part of their larger marketing clouds.
2020. Retina raises $2.5M for its AI-powered customer analysis software
Casting a cold eye on customer behavior and their future lifetime value has brought the Los Angeles-based startup Retina $2.5 million in new funding. Vendors can use Retina’s Shopify app to process data and get a predicted customer lifetime value. For sellers who aren’t integrated with Shopify, they can have their data processed by Retina to get that predicted customer value. Retina bases its analysis on recency, frequency and churn rates to map out customer acquisition, according to the company’s spokesperson. The software collects that data by analyzing the log of previous transactions in a customer data or payment platform, according to a statement.
2019. Customer data analytics software Heap raised $55M
Heap, the startup that wants to take on the analytics incumbents, has raised $55 million. The company says it now has more than 6,000 customers, including Twilio, AppNexus, Harry’s, WeWork and Microsoft. With this new funding, Heap has raised a total of $95.2 million. The plan is to fund international growth, as well as expand the product, engineering and go-to-market teams. Heap offers an innovative approach to automating a company’s analytics, enabling a variety of teams within an organization to obtain the data they need to make educated and, ultimately, smarter decisions.
2019. Salesforce acquires data visualization company Tableau for $15.7B
Salesforce is buying Tableau for $15.7 billion in an all-stock deal. This is a huge deal for Salesforce as it continues to diversify beyond CRM software and into deeper layers of analytics. The company reportedly worked hard to — but ultimately missed out on — buying LinkedIn (which Microsoft picked up instead), and while there isn’t a whole lot in common between LinkedIn and Tableau, this deal will also help Salesforce extend its engagement (and data intelligence) for the customers that Salesforce already has — something that LinkedIn would have also helped it to do. This also looks like a move designed to help bulk up against Google’s move to buy Looker, announced last week.
2018. Zoho Analytics got AI-powered Assistant
Zoho Analytics now sports the AI-powered Zia, Zoho’s intelligent assistant. Whether it be questions like ‘Get me the support tickets received this month, by product by region’ or ‘Give me sales by country by channel’, you just ask Zia. Zia converts such questions asked in natural language to complex SQL queries in the back end, and comes up with multiple relevant report suggestions. You can save the suggestion that best suits you as a report directly. Besides, the new Zoho Analytics makes it easier to analyze data from across apps, and to easily create interactive reports and dashboards and predicts future trends accurately based on their past data. Also Zoho Analytics adds seven new connectors for popular business apps. Each of these connectors come with more than 100 pre-built domain-specific reports and KPI dashboards that users can benefit from right away.
2018. Adobe introduced AI assistant for Adobe Analytics
Adobe introduced an AI-fueled virtual assistant called Intelligent Alerts to help Adobe Analytics users find deeper insights they might have otherwise missed. The way it works is the analyst receives some alerts they can dig into to give them additional insights. If they don’t like what they’re seeing, they can tune the system and it should learn over time what the analyst needs in terms of data. They can configure how often they see the alerts and how many they want to see. This all falls within the realm of Adobe’s artificial intelligence platform they call Sensei. Adobe built Sensei with the idea of injecting intelligence across the Adobe product line.