Hubspot Integration Features 


You use HubSpot to automate your marketing, build sequences, track leads, and so much more. Let's make it easier to access your Marketing and Sales data in one place, and answer the questions revenue leadership is asking about.


When we started using HubSpot for our own marketing and sales automation, we decided we could create a better reporting and analytics solution. We built upon our award winning technology to develop the right software solution, directly solving the problems that our sales and marketing teams were asking.

Now, you can connect your data to Einblick with one click, and instantly deploy the views you need. Then, as you scale, our intuitive no-code tools help you build the custom insights you need to keep up with your sales and marketing teams.

Let us show you the power of better HubSpot analytics. 




Features Comparison

(M) - Marketing Stakeholders

(S) - Sales Stakeholders

Desired Feature

Default Implementation

Einblick’s Answer

Build reports and analyses quickly

(M) (S)

Configured reports that can be easily deployed exist, but are incomplete views for most teams. 

New beta report builder does have more feature completeness, but UX is still improving over time. Limitations on filtering and outputs. 

All data ingested automatically into one platform, and surfaced to allow for easy exploration in our visual computing environment. 

Configured deployment of dashboards helps build default views quickly. 

Understand my campaign performance across a number of campaigns

(M)

Topline results reported on a dashboard

No way to filter on details of underlying contacts in campaign view. 

Dynamic pivot able to report on one or more email’s worth of results at a time, filtered on underlying information. For instance, see how your pipeline customers clicked compared to prospects, or open rates for retail only.

Text featurizer to extract feature information from subject line to understand if there are any trends or correlates of performance. 

Deep dive on a single campaign performance and understand what actions I should take.

(S) (M)

Highlights engagement level by contact by campaign. 

Cannot see across different campaigns, leading need for Excel. 

Able to aggregate views of most engaged over 1 or multiple campaigns / period of time. 

Understand which types of contacts tended to respond at higher rates. 

(S) (M)

No features

Key Drive Analysis can profile who responded vs. people who did not respond. 

Prediction operator can predict likelihood to respond based on characteristics of the contact and the account. 

Use past engagement, pivoted, as input into predictions of future engagement. 

Understand my current lead funnel

(S)

Default view is incomplete, and custom dashboards limit # of outputs.

No data aggregation features (e.g. count of distinct companies), and low breakout/filter capability for lead metadata including rolling date window.

Visual querying system allows users to easily change what view they are considering. 

Global filters for scalar values can be applied to linked outputs. 

Understand what leads have recently changed status. 

(S)

View exists to look at funnel changes.

No rolling date filter, and changing this view can feel very manual. 

Global filters for scalar values can be applied to linked outputs. 

Data model more friendly to user operation. 

Tables are dynamically filtered using intuitive visual querying. 

Review what activities my salespeople have done recently

(S)

No rolling date filter, and limited ability to make segmentations and filters on account characteristics 

Easily accomplished by joining contacts table with engagements table. 

Predict my forward looking revenue expectation

(S) (M)

No features

Advanced forecasting tools lets you forecast all metrics, including revenue. You can also forecast expected traffic, lead creation, and any other time series. 

Help prioritize what leads I should try and impact next.

(S) (M)

Manual lead scoring process, weighted by salesperson intuition. 

Use AutoML engine to determine likelihood for a lead to progress, and then ultimately close based on similarity to historical accounts and behaviors

Understand how my recently acquired leads compare to the overall population. 

(S)

No features

Key Driver Analysis can compare the individuals who moved through a step of the flow to all other leads in the stage. 


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