Datahug Reviews

6 Ratings
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Score 7.9 out of 101

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Reviews (1-4 of 4)

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Score 8 out of 10
Vetted Review
Verified User
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We use Datahug to manage our sales pipeline, have better visibility into our opps and don't miss any follow up/ milestones in the opportunities.
Our sales organization uses Datahug. It has helped us in keeping regular touchpoints in the opps as we deal with ENTP level software, our deal cycle is fairly large.
  • Data capture from emails, proper tracking of all communication
  • Ensures that we reach out and maintain regular touchpoints in opps
  • Analysis of complete pipeline flow
  • Scorecarding and segregation on the basis of SF hierarchy
  • Notifications about low scores
  • Capturing forecasting data on its own
  • Customer support has gone down drastically in the last 8 months (esp since their ACQ by SAP)
For:
  • Bigger sales team
  • Longer deal sizes
  • High volume of opportunities
  • Multiple stakeholders involved in decision making
Not for:
  • Smaller sales org with no proper CRM tool

  • Small deal cycles
Read this authenticated review
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October 09, 2019

My Datahug Review

Score 7 out of 10
Vetted Review
Verified User
Review Source
We use Datahug only within the sales org here at Lyft. It addresses the business problem of forecasting and capturing deal scores.
  • Capturing deal score
  • Submitting forecast
  • Updating next steps
  • Syncing contacts in Salesforce - sometimes it does not capture a contact I am working with
  • There is a lag in updating activity sometimes
In my opinion, Datahug is well suited for sales organizations - specifically sales reps and sales leadership for deal forecasting. I think it is less appropriate for monitoring activity levels.
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Benjamin Robertson profile photo
Score 7 out of 10
Vetted Review
Verified User
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Currently we use Datahug to receive better forecast insights from our sales team as well as understand the flow of our pipeline.
  • Pipeline flow
  • Forecasting
  • Lives in Salesforce
  • Deal Scoring
  • Activity Tracking
  • Product Updates
Datahug is well suited to perform visualization of your company's pipeline flow. Datahug is not well suited to track changes that effect future quarter's forecasts.
Read Benjamin Robertson's full review
Richard Massey profile photo
Score 10 out of 10
Vetted Review
Verified User
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DataHug is being used by around 80 people in our organisation - interfaced through our Salesforce org
It helps us to find out who we, as a business, know at each company we interact with and gives us warm introductions to new companies all the time.
  • Seamless integration with Salesforce - critical component for our sales teams
  • insights into who we know at each company - warm leads are always better than cold calling!
  • it can assist in predicting our win chance on each opportunity - who would not want that!
  • It's predictive analytics rely on standard object connectivity only - whereas we use a custom object for influencers...
Datahug helps us break new ground with new potential customers by providing warm leads. It also helps us track who we have good relationship with and where we need to improve.
It does not take into account personal relationships (face to face meetings not recorded in Outlook) and assumes email contact builds a relationship - but then again, no system could ever do that!
Read Richard Massey's full review

About Datahug

Datahug is a sales optimization solution that enables sales teams to increase sales velocity and reduce pipeline risk. The vendor says their solution gives sales managers deep visibility into the sales pipeline while reducing the burden on salespeople to update a CRM. 

The vendor’s value proposition is that Datahug captures and analyzes all  sales activity automatically from email, calendar and CRM, providing businesses with deal level visibility, more time for coaching, less burden on sales reps and more accurate forecasts in a solution that has zero barriers to adoption. According to the vendor, leading companies like Optimizely, Coupa, Instructure, Lyft and Nitro use Datahug to forecast with 95% accuracy and increase win rates by an average of 21%.

Datahug Features

Has featureSales Forecasting
Has featurePipeline Management
Has featureSales Coaching
Has featureAccount Based Sales

Datahug Screenshots

Datahug Integrations

Datahug Competitors

Clari, Implisit, Introhive

Datahug Technical Details

Deployment Types:SaaS
Operating Systems: Unspecified
Mobile Application:No
Supported Languages: English