There are dozens of decisions sales teams have to make each day: who to call, when to follow up, who to target as a lead, how to talk to a prospective customer, and more. The problem is there is valuable information spread out in CRM data, email, meetings, and past conversations. Relationship intelligence consolidates all these signals into one place, allowing salespeople to make decisions in the context of more information and less guesswork.
Key Takeaways
- Relationship intelligence consolidates diverse data sources, helping sales teams make informed decisions.
- It enhances outreach by providing context and relevance to interactions, making communication more meaningful.
- Salespeople can prioritize leads by analyzing engagement signals and internal connections, saving time.
- AI streamlines the relationship intelligence process by processing sales data quickly and identifying valuable patterns.
- Ultimately, relationship intelligence fosters better decision-making while maintaining the importance of human judgment.
Table of contents
What is Relationship Intelligence?
Relationship intelligence focuses on the relationship of sales, prospects, customers and decision makers. It can display a contact’s job or company title, but can also provide details on communication history, existing relationships, engagement, and more communication signals between contacts.
The additional background information can influence the way the salesperson approaches an account. Someone on the sales team may have a helpful connection with a prospect even though they don’t appear to be a hot prospect in the CRM.
Finding the Right Relationship Intelligence Contact
Sometimes it’s better to reach out to the right person rather than more. For larger organizations, multiple people can impact a purchase, such as managers, finance departments, technical personnel and senior management.
By knowing about these connections, sales teams can create a map of them, and determine who they are more likely to influence with a purchase. It can also show if another employee of the target company knows someone at your company.
That means that salespeople have yet another alternative: to ask for a warm introduction rather than starting from scratch.
Making Outreach More Relevant
Sending out generic outreach is an easy thing to ignore. If a salesperson knows what type of interaction and relationship the prospect has had with the company in the past, he can make his communication more relevant.
For instance, if a prospect has already interacted with a team member or participated in another meeting, having that information in mind for the next meeting is helpful. The salesperson can then carry on with the conversation, rather than it being a brand new lead.
It can also make outreach more organic, without sales people having to spend too much time on researching each account.
Prioritizing the Right Sales Opportunities
Another benefit of relationship intelligence is that it can assist the sales team prioritize their efforts better. Salespeople can prioritize leads and accounts that show higher engagement and internal connections, or where there is an obvious route to the decision makers. This can save time and allow reps to focus more time on conversations with a higher likelihood of closing the deal.
It can also help sales teams identify which relationships need attention before an opportunity loses momentum. By understanding recent interactions and changes in engagement, representatives can follow up at the right time and adjust their approach based on the situation. This makes the sales process more focused and helps teams build stronger, more meaningful customer relationships.
Spotting Weakening Relationships
A deal can actually be active in a CRM even in the event the connection behind it is starting to weaken. Failure to meet, failure to reply or lack of engagement in the interaction could be a sign that you have a chance to pursue.
Relationship intelligence can help to identify these changes sooner. The salesperson can then choose to follow-up, include another party, try a different strategy or let the prospect go.
The key is the timing. It’s better to deal with a relationship issue at an early stage, rather than looking to salvage a lost opportunity.
Where AI Fits In
AI can help bring relationship intelligence into reality by being able to quickly and easily process massive amounts of sales data. AI tools can help identify valuable patterns in these old emails, notes, and records, instead of having salespeople sift through them manually.
An AI Customer Relationship Agent can help with this by streamlining tasks related to customer relationships and providing context, as well as recognizing important signals to pass on to the team member.
It’s not about automating all conversations. Its aim is to minimize repetitive activities, enabling salespeople to focus on activities which require human judgment.
Better Relationship Intelligence Decisions, Not Just Faster Decisions
Going fast isn’t necessarily a positive thing when it comes to a sales process. If you’re targeting the wrong prospects, a salesperson could call 50 prospects in a day and fail to get a good outcome.
When it comes to relationships, intelligence is a second way to boost speed. It assists groups in determining where to invest their time, who to pay attention to, and what action is most sensible following.
The combination can help sales be more focused. Representatives can focus more on developing relationships and advancing qualified opportunities, rather than searching for them.
Conclusion
Relationship intelligence provides insight into the people in front of sales people when they are working with opportunities. It can help facilitate more rapid and informed decisions by indicating helpful connections, engagement, and relationship shifts. The integration of AI with the process can streamline the handling of relationship data, ensuring that all the while, human decision-making remains central to key conversations in sales.
FAQs
- How can you learn to be more intelligent about relationships in sales?
It involves leveraging customer communications, relationships, and engagement data to gain insight into business relationships and inform sales opportunities.
- Does it provide a way for salespeople to quickly locate decision makers?
Yes. Using relationship intelligence, you can identify potential influencers and map stakeholders in order to better understand people that could have a stronger influence on a purchase decision.
- What does it do to help with sales outreach?
It provides sales representatives more context about potential clients; enabling them to pick better contacts, timing and messaging.
- Will AI take the place of salespeople?
No. While AI can do the research and repetitive work, human judgment is crucial in conversations, negotiation and relationship building.
- How can salespeople leverage psychological science to become more proficient in their role and improve their performance?
There are many stakeholders in B2B buying. Knowing how those individuals are related can enable sales teams to navigate the complicated buying procedure much better.
