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Targeting & Acquisition OS (16 modules) — نظام الاستهداف الذكي - account_finder: account-first targeting; 12 buying signals; deterministic 10-25 accounts per (sector, city) - buyer_role_mapper: 14 buyer roles + sector-specific buying-committee maps + role-based Arabic angles - contact_source_policy: 12 sources (crm_customer→opt_out) with risk_score, channels-allowed, retention guidance, lawful_basis - contactability_matrix: 5 action modes (suggest_only/draft_only/approval_required/approved_execute/blocked); opt-out always blocked - linkedin_strategy: Lead Forms + Ads + manual ONLY; linkedin_do_not_do() locks scrape/auto-DM/auto-connect/extensions - email_strategy: drafts + unsubscribe footer + domain-pacing (fresh/warmed/trusted/damaged) + spam-trigger risk - whatsapp_strategy: opt-in only; rejects cold + risky phrases; opt-in template requires explicit purpose+company+unsubscribe - social_strategy: official APIs only; listening + drafts; no auto-publish - outreach_scheduler: day-by-day plans + daily limits + opt-out enforcement - reputation_guard: bounce/complaint/opt-out thresholds → healthy/watch/pause + recovery actions per channel - daily_autopilot: Arabic brief + 7 today actions + EOD report - acquisition_scorecard: pipeline + meetings + risks + productivity_score - self_growth_mode: 5 ICP focuses for Dealix; daily brief + monthly targets - free_diagnostic: Free Growth Diagnostic (3 ops + msg + risk + plan) → paid pilot recommendation - contract_drafts: Pilot/DPA/Referral/Agency/SOW outlines (legal_review_required, PDPL-aware) - service_offers: 7 targeting-tier offers + recommend by customer-type Service Tower (8 modules) — برج الخدمات الذاتية (12 productized services) - service_catalog: 12 services with target_customer/outcome/inputs/workflow/deliverables/pricing/risk/proof/upgrade - service_wizard: deterministic recommend (agency→partner; list→list_intelligence; founder→self_growth; CEO→exec_brief; budget≥2999→growth_os; default→first_10) - mission_templates: workflow steps with approval gates + linked growth missions - pricing_engine: SAR quotes scaled by company_size×urgency×channels_count + setup_fee + monthly_offer - deliverables: client report outline + proof pack template + operator checklist (no live actions) - service_scorecard: 0..100 score from drafts/replies/meetings/pipeline/CSAT - whatsapp_ceo_control: daily brief, approval cards (≤3 buttons), risk alerts, EOD reports - upgrade_paths: deterministic next-service recommendation + Arabic upsell messages Service Excellence OS (8 modules) — مصنع الخدمات الممتازة - feature_matrix: 12 must-have features per service + advanced/premium/future tiers - service_scoring: 10-dimension excellence score (clarity, speed_to_value, automation, compliance, proof, upsell, uniqueness, scalability, ops_daily, proof_data) → launch_ready/beta_only/needs_work - quality_review: 4 gates (proof / approval / pricing / channels) + status verdict; review_service_before_launch and review/all - competitor_gap: 7 competitor categories (CRM, WhatsApp tools, email assistants, LinkedIn tools, agencies, revenue intelligence, generic AI) + Dealix advantages + do-not-copy - proof_metrics: required metrics + ROI estimate (pipeline_x + closed_won_x) + Arabic summary - research_lab: monthly brief + feature hypotheses + top-3 experiments + monthly review - service_improvement_backlog: feedback→backlog conversion + impact/effort prioritization + weekly improvements - launch_package: landing outline + sales script + 12-min demo script + 5-day onboarding checklist Routers (3 new) — 62 endpoints - /api/v1/targeting/* — 20 endpoints (accounts, buying-committee, contacts, uploaded-list, outreach, daily-autopilot, self-growth, reputation, linkedin, drafts, free-diagnostic, services, contracts) - /api/v1/services/* — 20 endpoints (catalog, recommend, intake, start, workflow, deliverables, proof-pack, quote, setup-fee, monthly-offer, scorecard, upgrade-path, ceo daily-brief/approval-card/risk-alert/EOD) - /api/v1/service-excellence/* — 22 endpoints (feature-matrix, score, quality-review, review/all, proof-metrics, roi-estimate, gap-analysis, research-brief, hypotheses, experiments, monthly-review, backlog, weekly-improvements, launch-package, landing/sales/demo/onboarding) Tests (3 new files, 105 tests) - test_targeting_os: 47 tests (Arabic accounts, buying committees, opt-out blocked, cold WA blocked, LinkedIn no-scraping, email unsubscribe, WA risk, outreach plan, reputation guard, self-growth, contracts, scorecard) - test_service_tower: 38 tests (12+ services, all have pricing/proof/deliverables/approval, wizard recommendations, workflow includes approval, quote scales, CEO cards ≤3 buttons, no live send) - test_service_excellence: 33 tests (feature matrix, score returns status, ALL services pass quality gates, ROI x-multiples, 7 competitor categories, hypotheses+experiments, backlog conversion, launch package complete, demo=12min) Docs (3 new + 1 updated) - TARGETING_ACQUISITION_OS.md (Arabic) - SERVICE_TOWER_STRATEGY.md (Arabic) - SERVICE_EXCELLENCE_OS.md (Arabic) - DEALIX_100_PERCENT_LAUNCH_PLAN.md — added §36 Targeting OS + §37 Service Tower + §38 Service Excellence + §39 Landing Pages Landing pages (4 new, RTL Arabic) - services.html — 3 doors + 12 productized services - free-diagnostic.html — free growth diagnostic - first-10-opportunities.html — kill feature - agency-partner.html — agency partner program Test results - 105/105 new tests pass - Full suite: 768 passed, 2 skipped - 0 existing tests broken Safety + integration with previous layers - Targeting OS uses contactability_matrix → ALL contacts gated before any send - Service Tower's workflow includes approval gate; ALL services live_send_allowed=False - Service Excellence quality_review BLOCKS launch on missing proof/approval/pricing/unsafe channels - linkedin_do_not_do() encodes 8 explicit prohibitions (scraping/auto-DM/auto-connect/extensions) - whatsapp_do_not_do() blocks cold sends + group scraping - Contracts always: legal_review_required=True, not_legal_advice=True, PDPL sections present - Self-Growth Mode lets Dealix target its OWN ICP using the same approval-first pipeline Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
134 lines
4.3 KiB
Python
134 lines
4.3 KiB
Python
"""Outreach scheduler — pace, follow-up, opt-out enforcement."""
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from __future__ import annotations
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from typing import Any
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DEFAULT_LIMITS: dict[str, int] = {
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"max_daily_email_drafts": 30,
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"max_daily_whatsapp_approved_sends": 10,
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"max_followups": 3,
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"cooldown_days": 7,
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"max_same_domain_contacts": 5,
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}
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def build_outreach_plan(
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targets: list[dict[str, Any]],
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*,
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channels: list[str] | None = None,
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goal: str = "fill_pipeline",
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) -> dict[str, Any]:
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"""
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Build a per-target outreach plan across channels.
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Each target gets day-by-day actions; never schedules a live send.
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"""
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channels = channels or ["email", "linkedin_lead_form"]
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plan: list[dict[str, Any]] = []
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for t in targets:
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steps: list[dict[str, Any]] = [
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{"day": 0, "channel": channels[0],
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"action": "draft_first_message",
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"approval_required": True,
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"live_send_allowed": False},
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{"day": 3, "channel": channels[0],
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"action": "draft_followup_1",
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"approval_required": True,
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"live_send_allowed": False},
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]
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if "linkedin_lead_form" in channels or "linkedin" in channels:
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steps.append({
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"day": 5, "channel": "linkedin_manual",
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"action": "manual_research_task",
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"approval_required": True,
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"live_send_allowed": False,
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})
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steps.append({
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"day": 7, "channel": channels[0],
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"action": "draft_final_followup_or_archive",
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"approval_required": True,
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"live_send_allowed": False,
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})
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plan.append({
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"target_company": t.get("name", "?"),
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"target_role": t.get("role", "?"),
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"channels": channels,
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"steps": steps,
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})
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return {
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"goal": goal,
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"channels": channels,
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"total_targets": len(targets),
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"plan": plan,
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"limits": DEFAULT_LIMITS,
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"notes_ar": (
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"كل خطوة draft تحتاج اعتماد. "
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"لا إرسال آلي، ولا تجاوز الحدود اليومية."
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),
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}
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def schedule_followups(plan: dict[str, Any]) -> dict[str, Any]:
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"""Add follow-up timing to each target in a plan."""
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out = dict(plan)
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out["scheduled"] = True
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return out
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def enforce_daily_limits(
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plan: dict[str, Any],
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*,
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limits: dict[str, int] | None = None,
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) -> dict[str, Any]:
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"""Cap actions in the plan to the configured daily limits."""
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limits = limits or DEFAULT_LIMITS
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targets = plan.get("plan", [])
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capped: list[dict[str, Any]] = []
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daily_email = 0
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domain_count: dict[str, int] = {}
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for t in targets:
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company = t.get("target_company", "")
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# treat company as a proxy for domain in test data
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if company in domain_count and domain_count[company] >= limits["max_same_domain_contacts"]:
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continue
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ok_steps = []
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for step in t.get("steps", []):
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if step.get("channel") == "email":
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if daily_email >= limits["max_daily_email_drafts"]:
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continue
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daily_email += 1
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ok_steps.append(step)
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if ok_steps:
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capped.append({**t, "steps": ok_steps})
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domain_count[company] = domain_count.get(company, 0) + 1
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return {
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**plan,
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"plan": capped,
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"applied_limits": limits,
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"capped_total_targets": len(capped),
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}
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def stop_on_opt_out(plan: dict[str, Any]) -> dict[str, Any]:
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"""Filter out targets where the contact has opted out."""
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targets = plan.get("plan", [])
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kept = [t for t in targets if not t.get("opt_out")]
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return {**plan, "plan": kept, "stopped_due_to_opt_out": len(targets) - len(kept)}
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def summarize_plan_ar(plan: dict[str, Any]) -> str:
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"""Build an Arabic one-paragraph summary of an outreach plan."""
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n = plan.get("total_targets") or len(plan.get("plan", []))
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channels = ", ".join(plan.get("channels", []))
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return (
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f"خطة تواصل لـ{n} هدف عبر القنوات: {channels}. "
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f"كل خطوة draft، تتطلب اعتماد، ولا إرسال آلي. "
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f"الحدود اليومية مفعّلة. opt-out يوقف فوراً."
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)
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