Month-over-month — March vs. February
MQLs
735
Feb: 618 (Q1 cum: 1,360)
▲ +18.9% MoM
SALs
574
Feb: 430 (Q1 cum: 1,009)
▲ +33.5% MoM
SQLs
73
Feb: 86 (Q1 cum: 160)
▼ −15.1% MoM ⚠
SQOs
34
Feb: 22 (Q1 cum: 58)
▲ +54.5% MoM
Pipeline Created
$2.05M
Feb: $2.14M (Q1 cum: $4.19M)
▼ −4.3% MoM
Sessions
309,507
Q1 to date
+~131K vs Feb snapshot
New Contacts
6,510
Q1 to date (mktg sourced)
▲ vs 1,451 in Feb snapshot
Bounce Rate
78.9%
Feb: 79.26%
−0.4pp · still well above 70%
Avg Deal Size
$95,284
Feb: $92,143
▲ +$3,141 MoM
1 — Executive snapshot
SQOs surged +54.5% MoM — the strongest leading indicator this quarter. 34 SQOs entered the pipeline in March vs. 22 in February, driven by Gartner Orlando (9 SQO-stage deals from one event) and product tour conversions. SQL→SQO held at 36.3%, well above the 25% floor — deals entering discovery are of sufficient quality that AEs are advancing them.
MQL and SAL volume grew strongly, but SAL→SQL is deteriorating. MQLs were up 18.9% and SALs up 33.5% MoM — healthy volume gains. But SQLs fell −15.1% despite more SALs. March SAL→SQL rate dropped to 12.7% (vs. 20.0% in February), compressing the Q1 cumulative rate to 15.9% — below the 20% floor. 574 SALs in a single month may have overwhelmed BDR bandwidth.
Events dominated the MQL mix at 64.7%, up +16.2pp. Gartner Orlando alone contributed 341 MQLs, 340 SALs, and 9 SQO-stage deals. This is a strength — but also a concentration risk. Organic/Direct fell from 21.2% to 12.1% of the MQL mix in absolute terms (208→150 contacts), a real decline that needs monitoring.
Pipeline momentum slightly softer: $2.05M vs. $2.14M in February (−4.3%). Q1 cumulative stands at $4.19M — 20.0% of the $21M quarterly target with two months booked. Average deal size improved to $95,284 (+$3,141 MoM). Bounce rate at 78.9% remains a structural drag on top-of-funnel conversion quality.
2 — Funnel health
March conversion waterfall (monthly)
MRL
~2,045
MRL→MQL ~35.9%
✅ Above 26.97% benchmark
MQL
735
MQL→SAL 78.1%
✅ Well above 49.57% benchmark
SAL
574
SAL→SQL 12.7% ⚠⚠
🔴 Down from 20.0% in Feb — below 20% floor
SQL
73
SQL→SQO 46.6%
✅ Strong — well above 25% floor
SQO
34
Q1 cumulative conversion — March vs. February
| Stage | Mar CVR | Feb CVR | MoM Δ | vs. Bench |
|---|---|---|---|---|
| MRL→MQL | ~35.9% | 44.9% | ▼ −9pp | ✅ Above |
| MQL→SAL | 78.1% | 74.4% | ▲ +3.7pp | ✅ +28pp |
| SAL→SQL | 12.7% | 20.0% | ▼ −7.3pp | ⚠ Below 20% |
| SQL→SQO | 46.6% | 25.3% | ▲ +21.3pp | ✅ Strong |
| Q1 SAL→SQL | 15.9% cumulative | ▼ Below floor | ⚠ Monitor | |
SAL→SQL: deteriorating month-over-month
February SAL→SQL was right at the 20% floor (20.0%). March dropped to 12.7% despite SAL volume growing 33.5%. 574 SALs in a single month likely exceeded BDR bandwidth. Gartner event contacts need dedicated, event-specific sequences — generic outreach will not convert this cohort. BDR capacity vs. volume must be audited before additional events or campaigns load the queue further.
3 — Channel & campaign drivers — MoM comparison
MQL source channel mix — March vs. February
| Channel | Mar Count | Mar % | Feb % | Δ pp |
|---|---|---|---|---|
| Events / Offline | 800 | 64.7% | 48.5% | +16.2pp |
| Paid Search | 151 | 12.2% | 17.2% | −5.0pp |
| Organic / Direct | 150 | 12.1% | 21.2% | −9.1pp |
| Organic Search | 78 | 6.3% | 8.7% | −2.4pp |
| Paid Social | 44 | 3.6% | 2.4% | +1.2pp |
| Social / Other | 14 | 1.1% | 1.6% | −0.5pp |
Source: hs_v2_date_entered_marketingqualifiedlead API. Dashboard Q1 gauge (1,360) is authoritative. MoM counts directional.
#1 — Gartner Orlando: Quarter's Highest-Impact Campaign
341 MQLs340 SALs9 SQO deals
Near-100% MQL→SAL conversion confirms highly qualified, enterprise-grade contacts. 9 SQO-stage opportunities from a single event represent a disproportionate share of Q1 deal creation. At a $95K avg deal size, even a 30% close rate produces ~$270K in revenue.
#2 — Product Tour: 392 Q1 MQLs, 14 SQO Deals
392 MQLs Q1147 SALs · 37.5% SAL rate14 SQO deals
Highest-volume MQL campaign in the quarter. Consistent, scalable inbound digital motion. Lower SAL rate vs. Gartner suggests more mixed lead quality but total deal impact is material.
#3 — Demo Request: Most Conversion-Efficient Channel
109 MQLs54 SQLs16 SQO deals — top deal count
Highest SQL rate of any campaign tracked. Every demo request maps directly to intent. 16 SQO opportunities make it the top deal-count contributor. This path must be protected and amplified in Q2.
Watch: Organic/Direct declining in absolute terms
Not just a mix shift from events dominance — absolute count fell from 208 to 150. This may reflect content or SEO gaps, reduced organic investment, or seasonal patterns. Warrants investigation before it becomes structural.
4 — Strengths
💪 SQO Surge: +54.5% MoM
34 Mar vs 22 FebSQL→SQO 36.3% vs 25% floor
SQO is the most predictive leading indicator of closed revenue. A 54.5% surge sustained by above-benchmark SQL→SQO conversion means deals entering discovery are being advanced by AEs, not disqualified. This is the pipeline building needed to close toward the $21M quarterly target.
💪 MQL→SAL at 74.2% — 24.6pp Above Benchmark
1,009 SALs of 1,360 MQLsSAL volume +33.5% MoM
BDRs aren't rejecting leads at scale. Marketing-sourced leads are genuinely sales-ready and ICP targeting is working. Volume growth and quality above benchmark simultaneously is rare and significant.
💪 Events Channel Driving Outsized Pipeline
64.7% of Mar MQL mixGartner: 341 MQLs + 9 SQOs
Enterprise field events consistently produce higher-intent, higher-ACV contacts. Gartner Orlando's near-100% MQL→SAL conversion confirms these contacts are high-fit. With 9 deals at SQO stage from one event, the Gartner cohort is a significant Q1 pipeline asset.
5 — Opportunities
🔧 SAL→SQL: Dropped to 12.7% in March — Below 20% Floor
574 SALs → 73 SQLs in MarchFeb was 86 SQLs from 430 SALsQ1 cum: 15.9%
Likely causes: (1) Sequences not optimized for campaign-sourced contacts — Gartner event leads need event-specific follow-up, not generic outreach; (2) Capacity constraints — 574 SALs in a single month may overwhelm BDR bandwidth; (3) Timing mismatch between SAL acceptance and follow-up.
Recommended fix: Audit BDR sequences by campaign source — create dedicated sequences for event contacts vs. organic digital leads. Review BDR capacity against March SAL volume. Implement 48-hour SLA for SAL→outreach with automated escalation. A/B test meeting booking links embedded in follow-up emails.
Metric to watch: SAL→SQL rate for April; target recovery to ≥20%.
Recommended fix: Audit BDR sequences by campaign source — create dedicated sequences for event contacts vs. organic digital leads. Review BDR capacity against March SAL volume. Implement 48-hour SLA for SAL→outreach with automated escalation. A/B test meeting booking links embedded in follow-up emails.
Metric to watch: SAL→SQL rate for April; target recovery to ≥20%.
🔧 Bounce Rate at 78.9% — 8.9pp Above Threshold
78.9% bounce · 65-sec avg session1.43 pages/session~244K single-page visits
Likely cause: Traffic quality or page relevance — paid and events traffic landing on pages that don't match ad/source intent; top landing pages not moving visitors toward conversion paths.
Recommended fix: Audit top 10 entry pages by session volume. Review paid search landing page relevance. Add exit-intent triggers on high-bounce pages. Test interactive tools (ROI calculators, product tours) on key pages.
Metric to watch: Bounce rate and avg session length for April; target <70%.
Recommended fix: Audit top 10 entry pages by session volume. Review paid search landing page relevance. Add exit-intent triggers on high-bounce pages. Test interactive tools (ROI calculators, product tours) on key pages.
Metric to watch: Bounce rate and avg session length for April; target <70%.
🔧 Organic/Direct & Paid Search Declining as Share of MQL Mix
Organic/Direct: 208→150 MQLs (−28%)Paid Search: 169→151 (−10.7%)Combined share: 38.4%→24.3%
Together these two lower-cost, high-intent channels fell from 41.6% to 24.3% of MQL mix. Events dominance masks the decline but organic/direct absolute count also fell — not just mix shift.
Recommended fix: Identify top organic queries driving MQL conversions and expand content coverage. Review paid search campaign performance for efficiency loss. Invest in BOFU content (comparison pages, ROI calculators, case studies). Track organic share of MQLs as a standing KPI.
Recommended fix: Identify top organic queries driving MQL conversions and expand content coverage. Review paid search campaign performance for efficiency loss. Invest in BOFU content (comparison pages, ROI calculators, case studies). Track organic share of MQLs as a standing KPI.
6 — Top 5 actions for April
1
Fix SAL→SQL Conversion — Rebuild BDR Sequences by Source
Audit and rebuild BDR sequences by campaign source (events vs. digital). Implement 48-hr SLA with automation. Prioritize Gartner event contacts with event-specific outreach — not generic sequences.
2
Bounce Rate Reduction Sprint
Identify top 10 high-traffic / high-bounce pages. Update CTAs, improve landing page relevance for paid traffic, test interactive tools on key pages. Target: <70% bounce rate by end of April.
3
Activate Gartner Event Pipeline — 9 SQO Deals to Discovery by Apr 7
All 9 SQO-stage opportunities from Gartner Orlando must be in active sequence or on-calendar for discovery by April 7. AE + BDR pairing review for this cohort.
4
Organic & Paid Search Recovery Plan
Pull paid search keyword performance for February vs. March. Commission 2 new BOFU content assets targeting highest-converting intent queries. Monitor organic MQL share as standing KPI.
5
LinkedIn UTM Attribution Setup
Configure LinkedIn UTM parameters to populate
last_mql_channel field. Without this, LinkedIn's true MQL contribution cannot be measured or reported to Sat.7 — Data quality & confidence
Overall confidence:
Medium
— Campaign costs, LinkedIn attribution, and MQL date field gaps persist
✅ High confidence: Contact counts (3,580 March / 2,930 February via API). Pipeline amounts ($4,192,500 Q1 / $2,050,000 March / $2,142,500 February — dashboard confirmed). MQL/SAL/SQL/SQO counts from Lifecycle Stage Pipeline dashboard are authoritative.
⚠ Medium confidence: MQL monthly counts. mql_date field is unpopulated for 2026 contacts (max date: Jan 30, 2026). Monthly figures sourced from "MQLs by Month by Source" chart (735 Mar / 618 Feb) and hs_v2 API (1,237 Mar / 983 Feb). Q1 dashboard gauge total (1,360) is authoritative. ~123-contact discrepancy noted between gauge and hs_v2 API totals.
⚠ Medium confidence: SAL/SQL/SQO monthly counts. Funnel chart SQO = 30 contacts vs. gauge shows 58 deals — different objects (contacts vs. deals). Both noted; goal gauge is authoritative for deal counts.
❌ Not available: Campaign costs. No campaign cost data found in HubSpot. Cost/MQL and cost/SQL metrics cannot be computed for any channel.
❌ Low confidence: LinkedIn attribution. last_mql_channel field is empty for all March and February MQL records. LinkedIn's true MQL contribution is unknown. UTM configuration required — this is the single highest-priority data fix for April.
Confidence reaches HIGH when: (1) mql_date is populated for 2026 contacts; (2) campaign costs are imported into HubSpot; (3) LinkedIn UTM parameters are configured; (4) SAL/SQL/SQO monthly counts are confirmed via reconciled Lifecycle Stage Pipeline export.