Outbound Performance Summary — Greg Swinhart
Scope: All campaigns (LinkedIn + Email)
Executive Summary
Over this period, outreach activity generated consistent top-of-funnel volume (540 connection requests and 1,373 emails), with strong engagement quality once prospects interacted. Connection acceptance landed within the “good” benchmark range, and both LinkedIn and email reply rates (calculated using your rule) performed above typical industry ranges.
What stands out:
The biggest leverage is conversion after acceptance/opens. Reply performance suggests messaging and targeting are resonating with warmed prospects.
Primary constraint:
With replies recorded as a single total across channels, positive reply rate and booked-call conversion cannot be validated in this export.
- Peaks in activity occurred primarily in November and early December, with lower sustained sending later in the date range (visible in the trend chart on page 1).
- Email deliverability indicators appear healthy in the export (bounce rate shown as 0% total; email verified count is present).
Key Performance Indicators
Reply rates are calculated as follows: LinkedIn reply rate = replies / accepted connections; Email reply rate = replies / opened emails.
LinkedIn connection accept rate
23.0%
124 accepted / 540 sent
LinkedIn reply rate (on accepted connections)
11.3%
14 replies / 124 accepted
Email open rate
23.0%
316 opens / 1,373 sent
Email reply rate (on opened emails)
4.4%
14 replies / 316 opens
Email click-through rate
1.9%
26 clicks / 1,373 sent
Bounce rate
0.0%
0 bounces reported in totals
In-Depth Performance Summary
Below is a more detailed interpretation of what the totals mean operationally and where to focus next.
- Targeting quality (LinkedIn acceptance): A 23% acceptance rate indicates the audiences being invited were well-matched and the connect prompt likely felt relevant. This is a strong foundation because acceptance determines how many prospects can be moved into message sequences.
- Message resonance (post-acceptance replies): The 11.3% reply rate on accepted connections suggests the first message is compelling once people opt in to connect. Even if some replies are neutral, this level of engagement typically indicates strong personalization, clear positioning, or high ICP alignment.
- Email engagement (opens + clicks): A 23% open rate shows subject lines and deliverability were solid. Click-through at 1.9% is within “good” range, implying the CTA is being noticed by a subset of engaged recipients.
- Where the report is limited: This export aggregates replies across channels, so we cannot confirm channel-specific reply counts, positive reply rate, or booked-call conversion without CRM/calendar attribution.
Activity Totals
| Channel / Activity | Total | Interpretation |
|---|---|---|
| Views | 123 | Brand/identity visibility created by outreach touchpoints. |
| Connections sent | 540 | Top-of-funnel LinkedIn acquisition volume. |
| Messages sent | 144 | Direct LinkedIn messaging volume (non-InMail). |
| InMails sent | 211 | InMail volume suggests additional reach beyond connections. |
| Emails sent | 1,373 | Primary outbound email volume for the period. |
| Emails opened | 316 | Used as denominator for email reply rate (per your rule). |
| Email clicks | 26 | Engagement with links/CTAs; supports “intent” segmentation. |
| Replies received (all channels) | 14 | Aggregated replies total; channel split not provided. |
Benchmark Comparison
Benchmarks below are the “good performance” ranges you provided. Status reflects how this campaign performed relative to those ranges.
LinkedIn Cold Outreach Benchmarks
| Metric | Result | Benchmark | Status |
|---|---|---|---|
| Connection request accept rate | 23.0% | 10–25% | Within / Strong |
| Reply rate (to 1st message) on accepted connections | 11.3% | 1–4% | Above benchmark |
| Lead conversion (to booked calls) | N/A | 1–4% of accepted | Not tracked here |
| InMail response rate | N/A | 1–4% | Not tracked here |
Cold Email Outreach Benchmarks
| Metric | Result | Benchmark | Status |
|---|---|---|---|
| Open rate | 23.0% | 8–20% | Above benchmark |
| Reply rate (based on opened emails) | 4.4% | 1–3% | Above benchmark |
| Positive reply rate | N/A | 1–3% | Not tracked here |
| Bounce rate | 0.0% | <3% | Strong |
| Click-through rate | 1.9% | 1–5% | Within range |
Recommendations
Based on the performance pattern in the export (high engagement post-open/accept, variable sending volume), the next gains are likely from scaling consistent activity and improving downstream attribution.
- Stabilize weekly sending cadence: The chart on page 1 shows early spikes and later tapering. A steadier cadence typically increases total accepted connections and total opens, which compounds replies over time.
- Split reply tracking by channel: Capture separate counts for LinkedIn replies vs email replies. This enables precise optimization (copy, sequencing, and targeting) and prevents over/under-crediting one channel.
- Add “positive intent” tagging: Classify replies into positive, neutral, and negative. This allows reporting positive reply rate against your benchmark and improves follow-up prioritization.
- Improve conversion measurement: Track booked calls (calendar), qualified opportunities (CRM), and close outcomes. This unlocks the “lead conversion to booked calls” benchmark and shows true ROI.
- Click-to-conversation workflow: Use clickers as a high-intent segment with a short, direct follow-up (e.g., “Saw you checked the link—should I send details or does next week work?”).
Next Reporting Enhancements
- Include weekly rollups (sent, accepted, opens, clicks, replies) to show trend, not just totals.
- Add campaign-level breakdowns (sequence A vs sequence B) to identify the best-performing messaging.
- Include booked calls and pipeline value to quantify conversion beyond replies.