By submitting, you consent to our use of your data. Privacy Policy.
Category
Marketing & Sales
Built by
Beam.ai
Reward referrals in UpViral, read entrant activity, and approve or disqualify entries, automating campaign work on approved rules.
Referral Reward Approval
UpViral tracks who refers whom and how many points each participant earns. A Beam agent reads entrant activity and, under your rules, approves rewards once someone hits a milestone, marking the prize ready and notifying the participant. Entries that look like self referral, duplicate accounts, or sudden point spikes are held and routed to a marketer for a fraud check. The agent records each decision, so legitimate advocates are rewarded promptly while suspicious cases wait for a human, keeping the campaign fair without someone reviewing every leaderboard row by hand each day.
Contest Entry Validation
Each UpViral campaign collects entries with emails, actions taken, and referral links. A Beam agent reads new entries as they land, checks them against your eligibility rules, and marks valid ones qualified while writing the result back to the campaign. Entries missing required steps, using disposable emails, or breaking contest terms are set aside for a person to review. The agent keeps a clean list of confirmed participants, so a draw or prize allocation runs against real entrants, and edge cases the rule cannot settle reach a marketer instead of slipping through unchecked.
Campaign Metrics Readout
UpViral reports shares, conversions, and viral coefficients per campaign. A Beam agent reads these figures on a schedule and compiles them into the summaries your team relies on, calling out which campaigns are spreading and which stall. When a campaign underperforms an agreed target, it alerts the owner with the numbers behind it. If the data conflicts, say clicks without matching conversions, the agent notes the discrepancy and routes it to a person before the readout goes out, so decisions rest on figures someone has confirmed.







