-
Intent Data Should Work Harder
Remember – a good lead at a bad company is ultimately a bad lead. Everyone benefits from having a list of all the people and companies that have been actively searching for your product or service this week, right? That’s been the promise of Intent data. GTM teams rely on that Intent signal and often […]
-
Leadspace MAPs: Identity Resolution for Companies & Hierarchies
As I’ve discussed in recent blogs, one of the main issues sales and marketing teams experience is not getting enough value from their data. Unfortunately, simply adding more data hasn’t been solving that issue. The reason for this lack of value is that customer or buyer data is naturally fragmented. The data comes in many […]
-
Are Your Leads Worth Pursuing? Throw Most of Them Out!
If someone is interested in your product or service, is it necessarily true that they will convert into a paying customer in the future? Does a higher level of interest translate into higher odds of sales conversion? How do we know if the way we are measuring and assessing their interest is accurate? Is that […]
-
Relying on Intent Data Alone: More Harm than Good?
Three out of four B2B sales and marketing teams rely on intent data to prioritize ABM outreach. Intent data is incredibly important as it provides insight into which companies are searching for you – i.e. which companies are demonstrating some level of intent to use your type of product (or specific product). While that’s useful […]
-
Moneyball Campaigns: Map and Define Marketing Campaign Segments By Territories
In the last two blogs I discussed how to discover your TAM and assign territories, and then how to determine where to focus your sales & marketing efforts by using AI/ML models to score leads and understand who is ready and able to buy your product. Now let’s look at how to turn the profiles […]
-
How to Double Your Account-Based Marketing Performance
Choosing ABM accounts based on gut or table stakes profiling – like firmographics – isn’t enough anymore. Successful ABM comes down to discovering your TAM, building profiles at the person, account, and buying center levels, and then comparing them against your ICP in order to focus your time and effort on the accounts most likely […]
-
Optimizing Account Hierarchy with Leadspace’s Lead-to-Account Matching Maximizes Sales & Marketing Efficiency
Lead-to-Account Matching is an often overlooked capability of Customer Data Platforms. Depending upon volume, routing complexity, and the response time required in your GTM system, seemingly small errors in your pipeline can snowball into serious distractions and missed opportunities. Accurate lead-to-account matching is critical to response times in today’s GTM funnel. It provides a clearer […]
-
How to Choose a B2B Customer Data Platform. Know Your GTM Metrics & Data Inside & Out.
Low conversion rates from campaigns, high email bounce rates, and poor pipeline velocity are symptoms of a bigger problem – poor data health. Inaccurate, inconsistent, missing, or incomplete data can all negatively impact your bottom line and muddle most other sales and marketing metrics you are trying to optimize. Being able to evaluate your data’s […]
-
How to Choose a B2B Customer Data Platform. Achieving Actionable Insights with CDP Decisioning.
Over the last few blogs, we have moved through the process of building out and fueling your CDP, but how do you analyze high-volume data to derive and prioritize those most actionable insights to accelerate business outcome and maximize ROI? How do you determine your next best action? Which segments should you focus on? Which […]
-
How to Choose a B2B Customer Data Platform. Better Segments. Better Activation. Better Decisions.
In the last three blogs in this series, we discussed how to get your data together to fuel great buyer profiles and then how to use AI/ML-driven identity resolution to match incoming leads and changing buying signals with each of the profiles. Now let’s look at how to turn those profiles into actionable segments to […]
