Lucidya Paid Media · Confidential
Q2 2026
Launch Projections
Q2 commitment per Lucidya source-of-truth Sheet · KSA + US separated · matches every cell in the locked SVP commitment Sheet. UAE deploys May 1 at $2K/mo as additional scope — projection pending addition to Sheet.
🇸🇦 KSA · Q2 SQLs
90
20 + 30 + 40 across May/June/July · $30K Q2
🇺🇸 US · Q2 SQLs
15
3 + 5 + 7 across May/June/July · $24K Q2
🇸🇦 KSA · Q2 CAC
$333
inside $400–$600 contract · $250 by July
🇺🇸 US · Q2 CAC
$1,600
no historical baseline · $1,143 by July
Q2 2026 — committed numbers per Lucidya source-of-truth Sheet
Numbers shown below match the Lucidya source-of-truth Sheet (US tab + KSA tab) cell-for-cell · these are the locked Q2 commitments to SVP. KSA $30K Q2 → 90 SQLs at $333 blended CAC. US $24K Q2 → 15 SQLs at $1,600 blended CAC. UAE deploys May 1 at $2K/mo as additional confirmed scope — UAE projection pending addition to Lucidya source-of-truth Sheet, tracked separately on §4.
🇸🇦 KSA · Q2 spend
$30K
$10K/mo May/June/July · 6 campaigns
🇸🇦 KSA · Q2 SQLs
90
20 May · 30 June · 40 July
🇺🇸 US · Q2 spend
$24K
$8K/mo May/June/July · 4 campaigns
🇺🇸 US · Q2 SQLs
15
3 May · 5 June · 7 July
Headline: KSA Q2 blended cost-per-SQL lands at $333 — inside the contracted $400–$600 range, tightening to $250 by July. US Q2 blended cost-per-SQL is $1,600 — Lucidya's Sheet acknowledges *"US no historical data to validate projections; KSA more accurate"* — tightening to $1,143 by July as Smart Bidding exits the learning phase. Combined Q2 SQLs (KSA + US) of 105 is a 35× lift versus the 3 SQLs the account produced in Q1 2026. Every number reconciles to the Lucidya source-of-truth Sheet.
Why these numbers are locked: Per Ahmed Apr 28 — KPI commitments to SVP are sourced from the Lucidya source-of-truth Sheet · once committed they don't change between deck iterations. This deck reflects exactly what's in the Sheet (KSA tab + US tab). Reactiiv expects to over-deliver on Q2 totals — that's commitment quality, not target-setting. The risk register on slide 7 lays out where ceilings can move upward.
Where the account stood in Q1
Same Google Ads account (385-556-2238), same product, same buyer universe — different operator. The numbers below are Lucidya's own Q1 2026 actuals, surfaced in the March 27 audit. They are the floor we are projecting an improvement against.
| Month |
Status |
Spend |
MQLs |
SQLs |
Cost / SQL |
| Jan 2026 |
Prior agency · active |
~$8,000 |
~9 |
1 |
~$8,000 |
| Feb 2026 |
Prior agency · active |
$20,000 |
28 |
2 |
$10,500 |
| Mar 2026 |
Prior agency · paused mid-month after termination |
~$2,000 |
~3 |
0 |
— |
| Q1 2026 Total |
Prior agency |
~$30,000 |
~40 |
3 |
~$10,000 |
| Apr 2026 |
Onboarding · campaigns paused · zero spend · tracking + structure rebuilt |
What broke under the prior operator: Cost-per-SQL went from ~$400 pre-December 2025 to $10,500 by February 2026 — a 26× degradation in three months. Root causes documented in the March 27 audit: 114 fragmented campaigns under-budgeted and cannibalizing each other, conversion tracking firing on micro-events (page views, scroll depth) instead of qualified form submits, Arabic and English ads mixed in the same ad groups, and an ad URL pointing at /platform that did not exist. Each fix on its own would have been incremental; doing all four is what unlocks the projection on slide 5.
Sources: Lucidya Google Ads account 385-556-2238 · March 27 account audit (deliverables/lucidya-google-ads-audit.md) · Ahmed Mesallati 2026-03-27 call transcript. Jan and Mar monthly splits estimated from the documented Q1 total of $30K → 3 SQLs and the Feb-specific actuals; full-month detail will be replaced with HubSpot-actuals once OCI sync completes ~Week 2.
Four structural fixes that compound
Every Q2 projection number on the next page assumes these four changes are live by US launch on April 26. None of them is a single-lever fix. The improvement comes from doing all four at once.
01 · Architecture
114 campaigns → 11 campaigns
Eleven non-overlapping campaigns, each budget-capped and large enough to exit Google's Smart Bidding learning phase. Six KSA · four US (all active from Apr 26 launch) · one UAE in build for May 1 deploy. Source-of-truth structure documented in the campaign setup spec.
02 · Tracking
HubSpot → GTM → GA4 → Google Ads
Only verified demo-request and ask-an-expert form submissions count as conversions. Micro-conversions removed. HubSpot ↔ Google Ads native integration connected since February 2026 — Lucidya custom lifecycle "Inbound generated lead" → MQL → SQL syncs back to Google Ads as offline conversions matched on gclid. MQL event pending creation in HubSpot — handled async via Reactiiv-authored spec doc to Lucidya marketing ops (Apr 27 evening) · ETA Tue Apr 28. What Smart Bidding optimizes toward is now what Lucidya actually sells.
03 · Bid Strategy
Maximize Conversion Value · weighted
Lead $5 · MQL $50 · SQL $500. Algorithm prioritizes traffic patterns that produce SQLs — not cheapest form-fillers. Avoids the lead-volume optimization that drove the prior agency's $10,500/SQL outcome.
04 · Language Separation
Strict 1:1 ad language → landing page
Arabic ads → lucidya.com/ar. English KSA ads → lucidya.com. US ads → global.lucidya.com. Every landing page returns HTTP 200 (verified). The previous /platform URL has been removed from every ad — it 404'd silently.
HubSpot ↔ Google Ads native integration connected since February 2026 (per Lucidya, validated April 25 with Rasha Abdullah, HubSpot super admin). MQL event in HubSpot pending creation per Lucidya Apr 27 feedback — handled async via Reactiiv-authored spec doc to Lucidya marketing ops (Apr 27 evening · replaces planned screen-share). Once created in HubSpot it syncs to Google Ads as offline conversion. ETA Tue Apr 28.
Eleven campaigns · three markets · $20K/mo total managed
Total $20K/mo split: $10K KSA · $8K US · $2K UAE. Per Lucidya source-of-truth Sheet: KSA $10K/mo across 6 campaigns deploying May 1 · US $8K/mo across 4 campaigns active from Apr 26 launch (matches US tab Sheet $24K Q2 commitment). UAE $2K/mo deploys May 1 — UAE projection pending addition to Lucidya source-of-truth Sheet. All active campaigns share the same conversion goal stack and Maximize Conversion Value bid strategy.
🇸🇦 KSA · 6 campaigns
$10,000/mo · launches May 1, 2026
- C1 BRAND_AR_KSA_SRCH
Arabic brand search · /ar$1,000
- C2 BRAND_EN_KSA_SRCH
English brand search · /en$500
- C3 GEN_AR_KSA_SRCH
Arabic generic — Social Listening · CXM · AI CS$3,000
- C4 COMP_EN_KSA_SRCH
Competitor conquest · /solutions$2,500
- C5 PROD_EN_KSA_SRCH
Product intent · /products/*$2,500
- C6 DGEN_EN_KSA_DGEN
Demand Gen · YouTube + Discovery + Gmail$500
🇺🇸 US · 4 campaigns
$8,000/mo · all 4 campaigns active · launched April 26
- US AI Agent
AI customer service · new paid-search page Tue Apr 28$2,700
- US OmniServe
Unified inbox · global.lucidya.com$1,200
- US Generic / Category
CXM + AI customer service generic$2,100
- US Competitor Conquest
Sprinklr / Brandwatch / Meltwater / Talkwalker etc.$2,000
🇦🇪 UAE · $2,000/mo · deploys May 1
CONFIRMED MAY 1 LAUNCH
$2,000/month allocated to UAE — deploys May 1 alongside KSA per Ahmed's confirmation in Apr 27 cadence call. Campaign structure in build (language mix + targeting per Lucidya direction). Expected contribution: 1–3 incremental SQLs/month at $700–$2,000/SQL based on UAE B2B SaaS benchmarks. UAE numbers are NOT yet in the Lucidya source-of-truth Sheet — Reactiiv proposes UAE Q2: 4 SQLs at $1,500 blended CAC for Lucidya review and addition to Sheet. UAE excluded from §5 / §6 totals until Sheet alignment is confirmed.
US committed spend per Lucidya Sheet: $8,000/mo across 4 active campaigns from launch · $24,000 Q2 committed. The Lucidya US tab in the source-of-truth Sheet locks: 25 leads / 8 MQL / 3 SQL in May · 32 / 11 / 5 in June · 37 / 14 / 7 in July. Reactiiv expects to over-deliver on these numbers as Smart Bidding exits the learning phase, but the deck commitment matches the Sheet exactly.
US Geo Refinement — Top-15 Metros Strategy (applies Wed Apr 29): Per Lucidya's Apr 27 ICP doc, US targeting concentrates on top-15 DTC/SaaS buyer markets in tiered priority. Tier 1 (60-65% of US budget): NYC metro · Los Angeles · San Francisco Bay Area · Miami/South Florida — California has 173K Shopify stores (highest in US), New York has 77K, Florida has 103K. CA + NY combined = >30% of all US Shopify Plus stores. Tier 2 (25-30%): Austin/Dallas · Boston · Atlanta · Seattle · Chicago · Denver. Tier 3 (10-15% test): Portland · Philadelphia · Charlotte/Raleigh · Phoenix · Nashville. Concentrating US's $8K monthly spend in highest-density buyer markets typically improves conversion rate 15-25% vs. nationwide spray. Source: Store Leads (Shopify counts by state/city, 2026) · Charle Agency · PipeCandy.
Configuration: 4 conversion actions Primary on every campaign · weighted values $5 / $5 / $50 / $500 · Maximize Conversion Value bid strategy · Target ROAS field blank for first ~2 weeks (algorithm learning) · Saudi Arabia geo-only on KSA · United States geo-only on US · Arabic ad copy pending SVP sign-off per March 30 contract clause.
May · June · July — committed numbers per market
Per-market funnel anchored to Lucidya source-of-truth Sheet (KSA tab + US tab). KSA + US committed totals shown below match every cell in the Sheet. UAE tracked separately on §4 — Reactiiv proposes 4 Q2 SQLs at ~$1,500 CAC for Lucidya review and addition to Sheet.
🇸🇦 KSA — Sheet (KSA tab) commitment
| Period | Spend | Visits | Leads | MQLs | SQLs | $ / SQL |
|---|
| May 2026 | $10,000 | 3,200 | 100 | 40 | 20 | $500 |
| June 2026 | $10,000 | 3,333 | 111 | 50 | 30 | $333 |
| July 2026 | $10,000 | 3,448 | 123 | 62 | 40 | $250 |
| KSA Q2 Total | $30,000 | 9,981 | 334 | 152 | 90 | $333 |
🇺🇸 US — Sheet (US tab) commitment
| Period | Spend | Visits | Leads | MQLs | SQLs | $ / SQL |
|---|
| May 2026 | $8,000 | 900 | 25 | 8 | 3 | $2,667 |
| June 2026 | $8,000 | 1,046 | 32 | 11 | 5 | $1,600 |
| July 2026 | $8,000 | 1,206 | 37 | 14 | 7 | $1,143 |
| US Q2 Total | $24,000 | 3,152 | 94 | 33 | 15 | $1,600 |
KSA + US combined Q2: $54,000 spend · 13,133 visits · 428 leads · 185 MQLs · 105 SQLs · $514 blended CAC. Q1 2026 baseline (prior agency): 3 SQLs at ~$10,000 CAC across $30K spend. Q2 lift = 35× SQL volume · -95% CAC reduction. Q3 / Q4 commitments to be finalized after 6 weeks of live data per Lucidya's Sheet (US tab note).
Source: Lucidya source-of-truth Sheet · file 1Sm-B9XxyqP5VyG61VngeKlj3w2Mflly2c41sDMhJeiw · KSA tab + US tab. Sheet conversion rates: KSA Lead → MQL 40/45/50% across May/June/July · KSA MQL → SQL 50/60/65% · US Lead → MQL 32/34/38% · US MQL → SQL 38/45/50%. UAE tab not yet present — Reactiiv proposes 4 Q2 SQLs at $1,500 blended CAC for Lucidya alignment.
Where each SQL comes from
SQL contribution by campaign across May, June, July. Totals reconcile to Lucidya source-of-truth Sheet: KSA 20/30/40 SQLs by month (KSA tab) · US 3/5/7 SQLs by month (US tab). Per-campaign distribution within each market reflects historical conversion patterns of equivalent campaign types — KSA Brand and Demand Gen convert highest from warm-market intent; US campaigns absorb the learning-phase haircut hardest because they enter cold.
| Campaign |
May SQLs |
May $/SQL |
Jun SQLs |
Jun $/SQL |
Jul SQLs |
Jul $/SQL |
| C1 BRAND_AR_KSA | 5 | $200 | 7 | $143 | 9 | $111 |
| C2 BRAND_EN_KSA | 2 | $250 | 3 | $167 | 4 | $125 |
| C3 GEN_AR_KSA | 7 | $429 | 10 | $300 | 14 | $214 |
| C4 COMP_EN_KSA | 2 | $1,250 | 4 | $625 | 5 | $500 |
| C5 PROD_EN_KSA | 3 | $833 | 5 | $500 | 7 | $357 |
| C6 DGEN_EN_KSA | 1 | $500 | 1 | $500 | 1 | $500 |
| KSA Total | 20 | $500 | 30 | $333 | 40 | $250 |
|
| US AI Agent | 1 | $2,700 | 1 | $2,700 | 2 | $1,350 |
| US OmniServe | 1 | $1,200 | 1 | $1,200 | 2 | $600 |
| US Generic | 1 | $2,100 | 2 | $1,050 | 2 | $1,050 |
| US Competitor Conquest | — | $2,000 | 1 | $2,000 | 1 | $2,000 |
| US Total | 3 | $2,667 | 5 | $1,600 | 7 | $1,143 |
Per-campaign Lead → SQL composite rates: KSA Brand 50% · KSA Gen/Prod 32% · KSA Comp 35% · KSA DGen 12% · US 25%. Will recalibrate to Lucidya-actual once HubSpot ↔ Google Ads native integration syncs lifecycle stage transitions back as offline conversions (~2-week data window required after May 1 launch).
What can move the projection · what you'll see weekly
Two halves to this slide. Top — the risks that could pull the projection above us flagged in advance, and how we mitigate them. Bottom — what the SVP sees in the weekly Monday report and the live dashboard.
Primary risk
Mobile Lighthouse: 26 / 100
20 MB homepage · 602 network requests · 6–26 seconds of mobile JS execution. If visitors bounce before the HubSpot form loads, every conversion-rate assumption in §5 is overstated. Mitigation: Site team committed performance fixes by end of Week 2 (per the Apr 21 site-performance audit). If those don't ship, projections shift to a more conservative scenario — still ~17× improvement over Q1 baseline CAC.
Secondary · KSA calendar
Hajj + Eid · May 25–30
Expect 15–25% B2B activity dip in KSA that week. Mitigation: Bids pre-reduced 30% for the window · KSA budget redirected to US during the dip. No net Q2 forecast impact.
Secondary · creative
Demand Gen video assets
C6 launches with static creative only. Video adds 25–40% efficiency in this format. Mitigation: 2–3 video variants produced from existing brand footage in Weeks 1–2 · C6 re-tests with video Week 3.
Resolved
Tracking + access
GTM v40 published April 24 · GA4 ↔ Google Ads link propagated April 25 · HubSpot ↔ Google Ads native integration connected since February 2026, validated April 25. All four launch-tracking surfaces live.
Weekly Monday report — what the SVP receives
1. Executive summary — one paragraph: spend / SQLs / CAC · trajectory vs. plan
5. Negative keywords added — search-term audit · what we filtered, why
2. Per-campaign KPI table — 10+ campaigns: spend / clicks / CTR / CPC / Leads / MQLs / SQLs / $/SQL
6. Landing page funnel — views → form starts → submits → BANT-pass
3. Top 5 best keywords — by cost-per-SQL · what we're scaling into
7. Anomalies + actions — anything that triggered same-day intervention
4. Top 5 worst keywords — by cost-per-SQL · what we're cutting
8. Coming-week plan + asks — what we're doing next · what we need from your team
