Datavar on SOOMA AI — 3.2x lead-score adoption since rollout.

“The Arabic and English lead explanations changed how our managers coach. The team trusts the priority list now.”

The challenge

• Consulting deals with long sales cycles and partner-driven referrals — the previous CRM modelled an outbound motion that didn't fit.
• AI lead scores in the previous tool were English-only, and Arabic-speaking managers ignored them on principle.
• Pipeline reviews drifted into "what does the AI think?" arguments instead of coaching conversations.

What we built together

• Migrated leads, contacts, and deal history from the previous CRM in a 14-day cutover.
• Enabled SOOMA's Arabic + English SHAP-style lead scoring with reasons authored, not translated, in each language.
• Configured referrer tracking as a first-class field so every deal carries the source it came from.

What changed

• 3.2x increase in the share of reps acting on the AI-recommended priority list each morning.
• Pipeline reviews now centre on the contributing factors ("the value signal is strong, the industry conversion is weak") instead of the score itself.
• Referrer reports surface partner sources that hadn't been credited before, enabling a structured thank-you and referral-fee programme.

See SOOMA configured for data and technology infrastructure, or book a demo tailored to your operation.