GAannotations automates contextual data for Google Analytics annotations
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Despite many pretenders to its throne, Google Analytics continues to dominate the web and marketing analytics sphere for small and enterprise-grade businesses alike. But popularity or omnipresence doesn’t mean that it’s the perfect tool for the job in hand — there is always room for improvement.
Over the years, many Google Analytics users have requested that Google produce an annotations API to enable web and marketing professionals to automate the process of adding contextual notes to Google Analytics, helping them figure out what events on a specific data spiked or decimated traffic. One of those users was Fernando Ideses, founder and CEO at a fledgling Israeli startup called GAannotations, which is emerging from stealth today with $1.2 million in funding to develop a tool he had wanted Google to offer natively. “After having no success with the requests, my team and I decided to take a stand,” Ideses said.
While Google Analytics is fine for serving information on how end-users are engaging with a website, what pages they spend most of their time on, and so on, the data often lacks sufficient context. “How do you remember all the changes and improvements you made that affected your website, and what works?,” Ideses said. “This question is why we created GAannotations — to add annotations in bulk.”
Cause and effect
It’s worth noting that Google Analytics does in fact have a native annotations feature, but it’s very much a manual process that offers little in the way of automations via external APIs and integrations. Users can click on a date in a timeline, and enter a description into a text box that explains what they did on that date — for example they may have rolled out a new software update or launched a marketing campaign. This helps create a narrative of sorts, with anyone in the company able to hover through a timeline’s peaks and troughs to see what was going on behind the scenes on that day.
Above: Google Analytics’ native annotations
GAannotations builds on this by making it easier for marketing and analytics teams to create contextual notes through ingesting data in bulk from third-party sources through its API, while the company has also created tutorials to help non-coders leverage Zapier to integrate with the likes of Google Ads, Mailchimp, Shopify, Slack, Asana, Trello, Jira, GitHub, and Bitbucket. This means that it’s possible to correlate a Mailchimp marketing campaign, or a new product that’s been added to a company’s Shopify store, with activity tracked by Google Analytics.
Above: GAannotations: Integrations
Additionally, GAannotations ships with a bunch of pre-built integrations with external data source around public holidays, retail events such as Black Friday, Google algorithm updates, Google Ads history, and even the weather.
Above: GAannotation: Data source integrations out-the-box
With the GAannotations Chrome extension installed, marketers can see instantly the impact of adding Black Friday-related keywords to a website landing page, for example, whether a new display ad has had the desired effect, a software update has improved traffic, or that week-long snowstorm drove page views for a specific product.
Above: GAannotations: The impact of Black Friday-related keywords to a website landing page
GAannotations runs a freemium business model, starting at free for individual users with restrictions to manual annotations and CSV uploads. The basic plan costs $19 per month for a single user, but includes access to the annotations API, while $99 unlocks access for unlimited users and Google Analytics accounts, access to external data sources (e.g. holidays), and more.
Above: GAannotations: Pricing
There is at least one tool on the market already which offers something similar, but GAannotations is hoping that its breadth and flexibility of data integrations will help set it apart. And now, with $1.2 million in funding from an under-the-radar Argentinian VC firm called Madero VC, the company has enough in the bank to grow its business beyond its initial early-stage customers and target everyone from small indie developers to big businesses and marketing teams.
Indeed, Ideses said that the company plans to use a significant chunk of the money to add more metrics and analytics to the mix, including simplified table comparisons when using multiple data ranges, table heat maps to help visualize and compare data, and more.
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