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Target accounts
with confidence.

ORM's machine learning algorithms predict which prospects will buy from you. Using demographic, firmographic, and behavioral data ORM can predict the propensity of each prospect to buy from you and also know what product they are likely to buy.

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Target Accounts

ML-powered targeting across
the customer lifecycle.

From net-new prospecting to cross-sell and churn prevention, ORM's machine learning identifies your highest-value opportunities.

Strategic Net-New Targets

Easy ABM list -- Marketers have their ABM list. Outbound plays made easy for your sales team.

PROPENSITY RANKED ACCOUNTS RANK ACCOUNT PROPENSITY ACTION 1 TechVantage Inc SaaS / 500 emp / Series C 92% ABM 2 Meridian Cloud Fintech / 200 emp / Series B 87% ABM 3 DataForge Systems Healthcare IT / 1,200 emp 78% BDR 4 Apex Solutions Manufacturing / 800 emp 65% BDR

Strategic Cross-Sell Targets

Know which of your customers will buy another product from you and which product they will buy. ORM connects to your MAP, CRM, and product data to know which customers are engaging with your marketing and your product. Data signals are fed into ORM's Machine Learning algorithms to create propensity to buy scores -- which identify your target accounts.

CROSS-SELL PROPENSITY MATRIX Product A Product B Product C Acme Corp owns A Owned 89% 34% Nexus Group owns B 76% Owned 72% DataFlow Inc owns A,C Owned 91% Owned EXPANSION REVENUE IDENTIFIED $1.8M across 24 accounts View Targets

Strategic Non-Renewal Targets

Early warning on which accounts will churn so you can proactively engage them. ORM's machine learning algorithms take signals from your customers' engagement with your product, trouble tickets, firmographic, and marketing engagement to predict who is at risk for churn. Engaging at-risk accounts early is the easiest way to reduce churn and boost ARR.

CHURN RISK EARLY WARNING ! CloudBase Systems Login freq -68% | 4 open tickets | NPS dropped HIGH ~ Vertex Analytics Feature adoption -30% | Budget review upcoming MEDIUM ✓ Pinnacle Group Engagement stable | Expansion signals detected LOW

From data signals to action.

Collect signals1

ORM connects to your MAP, CRM, and product data to capture engagement, firmographic, and behavioral signals across every account.

Score propensity2

Machine learning algorithms create propensity to buy scores that identify which accounts are most likely to purchase, expand, or churn.

Act with confidence3

Your sales team gets prioritized account lists. Your marketing team gets ABM targets. Your CS team gets early churn warnings.

Frequently asked questions

Targeting
How does ORM predict which accounts will buy?+
ORM uses demographic, firmographic, and behavioral data signals fed into machine learning algorithms to create propensity scores for each account.
Can ORM predict churn?+
Yes. ORM's algorithms take signals from product engagement, trouble tickets, firmographic data, and marketing engagement to predict which accounts are at risk.
Data
What data does ORM need for account targeting?+
ORM connects to your MAP, CRM, and product usage data. The more data signals available, the more accurate the propensity scores.

Know your next best account.

ORM's ML identifies who will buy, what they'll buy, and who's about to leave.

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