Track all of your key business metrics from one screen
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SendGrid is a cloud-based email service that enables businesses to send large volumes of emails reliably and efficiently. It provides features like email delivery optimization, analytics, and email templates, helping businesses manage and scale their email communication effectively.
SendGrid is a leader in trusted email delivery. Effortless for developers and marketers to craft, segment, test, and successfully deliver all of their email.
With Databox, you can track your Email delivery from SendGrid and combine KPIs from Campaign Monitor, MailChimp, Google Analytics, and many more on a single dashboard accessible from your phone or any device. Then, you can monitor anytime, anywhere.
The Estimated earnings metric is an approximate amount of revenue that a publisher is expected to earn from AdSense ads displayed on their website or app. It takes into account various factors such as the number of ad impressions, clicks, and ad types.
Clicks is a metric in Google AdSense that measures the number of times a user clicks on an ad displayed on a website or app. It is an important metric for publishers as it directly impacts their revenue.
Page Views refer to the number of times a webpage on a website has been viewed by a user on their screen, regardless of how many times they refresh the page.
The Total Earnings metric in Google AdSense refers to the accumulated amount of revenue earned by a publisher from ad clicks, impressions, and other activities within a specific time frame.
Impressions refer to the number of times an ad is displayed on a website or app. It is a metric used to measure the reach and visibility of an ad campaign.
Impressions RPM (revenue per thousand impressions) is a metric that indicates the estimated amount of earnings for every 1000 ad impressions served on a webpage. This is calculated by dividing estimated earnings by the number of ad impressions and multiplying the result by 1000.
CPC, or cost per click, is the amount of money an advertiser pays for each click on their ad. It is a popular metric in online advertising, reflecting the effectiveness and profitability of ad campaigns.
Page Views RPM is a Google AdSense metric that represents the revenue earned per 1000 pageviews on a website. It is calculated by dividing the total earnings by the number of pageviews, multiplied by 1000.
Page Views CTR (Click-Through Rate) is the ratio of the number of clicks on your ads to the number of page views on your website, calculated as a percentage. It indicates the effectiveness of your ad placements and design in generating clicks from your audience.
Ad impressions is a metric used in online advertising that tracks the number of times an ad is displayed on a webpage, app or other digital platform. It does not measure clicks or engagement, only the potential exposure an ad has to viewers.
The CTR (click-through rate) is a key performance metric in online advertising, which measures the ratio of click on an ad to the number of impressions it receives.
Ad Requests is a metric that measures the number of times an ad request is sent to Google AdSense to serve an ad on a website or app. It helps to evaluate the site's traffic and ad performance.
Ad RPM (Revenue per Thousand Impressions) is a metric that measures the revenue earned for every 1000 ad impressions on a website. It helps publishers to estimate their earning potential and optimize their ad placements and formats.
Coverage is a metric that measures the ratio of ads displayed to the total number of ads requested on your website. It indicates the percentage of times an ad is displayed on your site compared to the number of times it could have been displayed.
The Ad CTR (Click-Through Rate) is a metric that measures the percentage of clicks an ad receives per impression. It helps evaluate the effectiveness of your ads and ad placements on your website. A higher CTR indicates that your ads are more relevant and engaging to your audience.
The Estimated earnings by Country metric in Google AdSense shows the amount of revenue earned from ads displayed to users located in various countries. It helps publishers understand which countries are generating the highest revenue and adjust their strategy accordingly.
The Estimated earnings by Network metric shows the total estimated revenue earned by a publisher through the AdSense program across all network types, including AdSense for Content, AdSense for Search, and AdSense for Games.
Impressions by Network is a metric in Google AdSense that shows the number of times ads were displayed to users on a specific network, such as the Display Network or AdSense for Search. It is a measure of ad exposure and can help publishers understand which networks are generating the most ad views.
Ad Requests RPM measures the revenue generated per thousand ad requests. It is calculated by dividing estimated earnings by the number of ad requests, multiplied by 1000.
The Estimated earnings by Bid Type metric shows how much revenue is earned by each bidding method used in your AdSense account, such as cost per click (CPC) or cost per thousand impressions (CPM).
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Due to the specific API limitation, for all dimensional ‘by Category’ metrics, Databox will fetch the data in the following way.
For any Date Range requested, we fetch only the last 2 subperiods.
So if the data is displayed with daily granularity (by day), Databox will fetch the data for the last 2 days.
If the data is displayed with weekly granularity (by week), Databox will fetch the data for the last 2 weeks.
If the data is displayed with monthly granularity (by month), Databox will fetch the data for the last 2 months.
And so on.
(Period = selected Date Range on Datablock, like ‘Last Week’)
(Subperiod = one of multiple datapoints on the chart, for example, Date Range ‘Last Week’ with daily granularity will have 7 datapoints (one for each day) on the chart > ‘Graph by’ granulation option in Datablock Editor)
At the same time, the Big Number above the graph will display the correct total value for the entire Date Range selected on Datablock, because this total value is provided by Sendgrid API. This also means that for any Visualization type that only displays the total Number for the selected Date Range (such as Number, Pie, Table, etc.), this limitation does not apply.
To display data for other subperiods besides the last two, the workaround is to create a separate Databoard and fetch the data in one Datablock by cycling through the 2-subperiods date range in it. For example, if the ‘Last Week’ Date Range is selected in the original Databoard for the first time, only data for Day 6 and Day 7 bars will be fetched. Then, you can choose Custom Date Range in a separate Databoard with Day 1 and Day 2 of last week as the whole period/Date Range. Data for those two days will be fetched and then you change the period/Date Range to Day 3 and Day 4 of last week and then Day 5 and Day 6 of last week. This way, daily data for the entire Last Week will be fetched.
An alternative solution is to keep the ‘Last 7 Days including today’ Date Range selected in a separate Databoard and this setup will continually aggregate historical data moving forward.