Now accepting launch partners and expert contributors
Now accepting launch partners and expert contributors
As an experienced operator, I know my way around a data set. It makes me happy to see a nice, clean, complete story through data. And still— I hate filling it all out. Going over notes to distill the info, Normalizing everything to get it looking just right. It's a pain.
So, if we RevOps Pros don't like it, imagine how our friends in sales feel. Every minute that sales spends on tedious data work, is a minute they aren't closing. I don't blame them for feeling that way.
Well, imagine a system that uses the team's communications to automatically fill out a bunch of Salesforce fields with no effort— generating amazing intelligence and clean data sets that are based on fact, not opinion, with no sales adoption required. That is what my friends at Nektar do.
Most customers go live with Nektar in only 2 weeks. Here is the overview of what will happen in those weeks:
1. Connect Your Systems
Integrate Nektar with Salesforce or Snowflake, and with your communication tools (e.g., email and calendar), Nektar’s single sign-on makes this step straightforward.
2. Set Filtering Rules
Choose which users will be tracked so you have all of their relevant communications. Use Nektar’s customizable filtering capabilities to exclude irrelevant data, such as personal emails, non-business-related events, or specific domains. Nektar has some serious enterprise clients, which gives me confidence that this filtering works. And their privacy capabilities are top of the line.
3. Configure Data Matching
Leverage Nektar’s graph inference technology to align contacts, activities, and conversations with the correct accounts, opportunities, or contacts in your CRM. Nektar's ability to create contacts on the right account, and add contact roles to the right opportunities, goes way beyond just matching on domain. More on that later.
4. Backfill Historical Data
Activate the “time travel” feature to sync relevant historical data for accounts, opportunities, or contacts; ensuring a complete record of past interactions. The standard timeframe is around 6-12 months, but anything is possible as you negotiate your setup fee and how much past data your team will need.
5. Automate Data Enrichment
Allow Nektar to continuously scan for new activities, meetings, and communications to ingest; automatically enriching CRM records without manual input. This means all of your fields are filled out! Whether you use MEDDIC or some other methodology, Nektar can automate the intelligence behind it.
6. Set Up Revenue Signals
Define signals you want to track, such as executive engagement, late-stage activity, or inactive opportunities, to surface actionable insights within Salesforce. Note: There's no extra UI. Everything comes to life to be used in Salesforce and we think that's wonderful.
7. Adopt and Test Nektar's Opinion
Over a very short time, the system will form an opinion about the quality and traction of your opportunities. This allows you to create dynamic scores or even a Nektar-suggested opportunity stage. The beauty of this is that if you run it side by side with your current data, you can compare the accuracy and make any model adjustments needed.
There are other tools out there that can create contacts for you. And automate contact role creation. So what makes Nektar unique? Here's my take:
They're not asking you to adopt their UI
Most revenue intelligence tools are trying to become the UI where your reps hang out. They integrate with Salesforce and everything, but still have certain features you can only see in THEIR tool. They benefit from making you spend time there. Nektar isn't doing that. You get 100% adoption because their tool is patched into your email server and you don't have to ask the reps to login to yet one more thing.
Intelligence extends beyond domain to suit Enterprises
Many of my 'matching' efforts in the past have depended on a domain match. This can work well if you have a clean system of one account and one opportunity per company. But the bigger your company gets, the more complex that mapping can become. Nektar does the work of finding out which contacts belong with which opportunities or child accounts by seeing who the like attendees are on emails and meetings, plus they send the right data to the right place so that your deals aren't mixed up.
Scoring methodology can incorporate non-Nektar info
Many intelligence tools offer predictive quality scores, but that's mostly built on the data THEY own. Nektar can support you in using other custom Salesforce fields to enhance these scores and predictions. For example, if you have the user's "last login date" for your product, this can be used for engagement or health scoring— even if it's not info coming from an email or calendar invite.
If I were using Nektar, here a few of the fun things I'd want to see:
1. Leverage this intel as a back door for GTM attribution efforts: The Nektar team could explore including campaign member information, web analytics activity, and other data streams to round out their data set. I would then try to use intelligence and filters to assign attribution credit to meaningful meetings, channels, or interactions.
2. Nektar for all customer health scoring: Once Nektar can mine for sentiment by analyzing the WORDS that are said in a call, anything is possible. They will have the ability to use any Zoom transcript to tell you how your customers really feel. In my experience, reps are really hesitant to mark an account at risk. If that responsibility was taken off of them, we could act faster.
*note - call transcripts as a data source is on the Nektar roadmap, but you should buy based on what's available today.
3. Hubspot Integration: Need I say more? I'm anxiously waiting to see if this becomes part of their offering.
4. More user Control: As a product that is still earlier to market, the customers are not always acting as autonomous admins. There will be some setup and change activities that you need to rely on the Nektar team for. Good thing they have really positive reviews about their level of support.
5. Benchmarks for communication recency and frequency
How many meetings does it take to close a deal for my business? How often should a decision maker have to interact with us before they are convinced? There can be some very cool benchmarks created from this information and I think Nektar is sitting on a gold mine in this area. I'd love to have benchmarks for this according to my company's size and scale.
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Mallory Lee
The RevTech Review
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