Module quiz

1. It enables many-to-many relationships between people and accounts for flexible segmentation.
2. It only supports one-to-one relationships between people and accounts.
3. It excludes lead and contact data from ingestion.
4. It requires manual stitching of lead and account records.

1. Associated people, opportunities, and unified activity data for each account.
2. Only the buying group associated with the account.
3. Anonymous visitor data linked to the account.
4. A list of unrelated accounts for broader segmentation.

1. Finding decision-makers for opportunities by vertical industry and browsing behavior.
2. Segmenting audiences based solely on anonymous visitor data.
3. Creating segments based on unrelated accounts.
4. Limiting segmentation to opportunities under a certain dollar amount.

1. It aggregates person activities at the account level to produce account scores.
2. It only predicts individual likelihood to buy, excluding account-level insights.
3. It requires manual input for scoring criteria.
4. It excludes influential factors from scoring metrics.

1. It links anonymous web visitors to sales accounts for early engagement.
2. It excludes anonymous visitors from segmentation.
3. It only matches leads with deterministic factors, ignoring probabilistic ones.
4. It requires manual matching of lead profiles to account profiles.