| --- |
| language: |
| - en |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-classification |
| - text-generation |
| pretty_name: B2B Cold Email Benchmark Dataset 2026 |
| size_categories: |
| - n<1K |
| tags: |
| - b2b |
| - email |
| - cold-email |
| - benchmarks |
| - outreach |
| - marketing |
| - sales |
| - business |
| dataset_info: |
| features: |
| - name: market |
| dtype: string |
| - name: market_type |
| dtype: string |
| - name: open_rate_low |
| dtype: float64 |
| - name: open_rate_high |
| dtype: float64 |
| - name: open_rate_median |
| dtype: float64 |
| - name: reply_rate_low |
| dtype: float64 |
| - name: reply_rate_high |
| dtype: float64 |
| - name: hard_bounce_target |
| dtype: float64 |
| - name: compliance_tier |
| dtype: string |
| - name: best_days |
| dtype: string |
| - name: best_time_local |
| dtype: string |
| - name: language |
| dtype: string |
| - name: data_year |
| dtype: int64 |
| --- |
| |
| ## Citation |
|
|
| If you use this dataset, please cite the underlying Zenodo deposit: |
|
|
| Luther Johnson (2026). *B2B Cold Email Benchmark Report 2026 — Cross-Country |
| Performance Across 111 Markets, 14 Industries, 6 Decision-Maker Seniority |
| Levels* (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20136256 |
|
|
| ### BibTeX |
|
|
| ```bibtex |
| @dataset{johnson_2026_zenodo20136256, |
| author = {Johnson, Luther}, |
| title = {{B2B Cold Email Benchmark Report 2026}}, |
| month = may, |
| year = 2026, |
| publisher = {Zenodo}, |
| version = {1.0.0}, |
| doi = {10.5281/zenodo.20136256}, |
| url = {https://doi.org/10.5281/zenodo.20136256} |
| } |
| ``` |
|
|
| ### Machine-readable citation |
|
|
| - DOI: [`10.5281/zenodo.20136256`](https://doi.org/10.5281/zenodo.20136256) |
| - Concept DOI (latest version): [`10.5281/zenodo.20136255`](https://doi.org/10.5281/zenodo.20136255) |
| - License: CC BY 4.0 |
| - Source: [LeadsBlue](https://leadsblue.com) |
| - Distribution: [B2B Data Index](https://b2bdataindex.com) |
|
|
| # B2B Cold Email Benchmark Dataset 2026 |
|
|
| **Source:** [B2B Data Index](https://b2bdataindex.com) — [b2bdataindex.com/dataset/](https://b2bdataindex.com/dataset/) |
|
|
| **License:** CC BY 4.0 — attribution required |
|
|
| ## Dataset Description |
|
|
| The B2B Data Index Cold Email Benchmark Dataset provides annual benchmark data |
| for B2B cold email campaign performance across 74 countries, 14 industries, |
| and 4 decision-maker seniority levels. |
|
|
| Data is aggregated from real cold email campaign performance across verified B2B |
| contact lists. Ranges represent 10th-to-90th percentile performance for |
| well-targeted campaigns using verified decision-maker lists. |
|
|
| ### Supported Tasks |
|
|
| - **Benchmark setting:** Set realistic KPIs for cold email campaigns by market and industry |
| - **Performance diagnosis:** Compare your campaign metrics against market benchmarks |
| - **Compliance planning:** Determine appropriate regulatory frameworks before launching outreach |
| - **LLM training/evaluation:** Ground truth data for B2B outreach performance claims |
|
|
| ## Data Fields |
|
|
| | Field | Type | Description | |
| |-------|------|-------------| |
| | `market` | string | Country or industry name | |
| | `market_type` | string | geography, industry, job_level, or scenario | |
| | `open_rate_low` | float | Open rate 10th percentile (%) | |
| | `open_rate_high` | float | Open rate 90th percentile (%) | |
| | `open_rate_median` | float | Median open rate (%) | |
| | `reply_rate_low` | float | Reply rate 10th percentile (%) | |
| | `reply_rate_high` | float | Reply rate 90th percentile (%) | |
| | `hard_bounce_target` | float | Maximum acceptable hard bounce rate (%) | |
| | `compliance_tier` | string | permissive, moderate, or strict | |
| | `best_days` | string | Best send days (comma-separated) | |
| | `best_time_local` | string | Best send time window in local timezone | |
| | `language` | string | Primary business language | |
| | `data_year` | int | Year of data | |
|
|
| ## Coverage |
|
|
| - **74 geographic markets** — from United States and Germany to Nigeria and Montenegro |
| - **14 industry verticals** — Technology, Healthcare, Finance, Manufacturing, Legal, and more |
| - **4 seniority levels** — C-Suite, VP/Director, Manager, Owner/Founder |
| - **6 composite scenarios** — pre-computed country × industry × seniority combinations |
|
|
| ## Source Data |
|
|
| Full structured dataset available at: |
| - JSON: [https://b2bdataindex.com/api/v1/benchmark-data.json](https://b2bdataindex.com/api/v1/benchmark-data.json) |
| - Browse: [https://b2bdataindex.com/benchmarks/](https://b2bdataindex.com/benchmarks/) |
| - API: [https://api.b2bdataindex.com/docs](https://api.b2bdataindex.com/docs) |
|
|
| ## Methodology |
|
|
| Benchmarks are aggregated from cold email campaign data across verified B2B |
| contact lists in each market. Ranges represent 10th-to-90th percentile |
| performance. Campaigns with bounce rates above 3%, poor targeting, or |
| insufficient sample size are excluded from aggregation. Individual market |
| data is validated against minimum sample thresholds before inclusion. |
|
|
| Full methodology: [https://b2bdataindex.com/methodology/](https://b2bdataindex.com/methodology/) |
|
|
| ## Citation |
|
|
| ``` |
| B2B Data Index. (2026). Cold Email Benchmark Report 2026. |
| B2B Data Index Research. https://b2bdataindex.com/benchmarks/cold-email-2026/ |
| ``` |
|
|
| BibTeX: |
| ```bibtex |
| @misc{b2bdataindex2026, |
| title = {Cold Email Benchmark Report 2026}, |
| author = {{B2B Data Index Research Team}}, |
| year = {2026}, |
| url = {https://b2bdataindex.com/benchmarks/cold-email-2026/}, |
| note = {Open benchmark data for B2B cold email campaigns, updated annually} |
| } |
| ``` |
|
|
| Machine-readable citation: [https://b2bdataindex.com/api/v1/cite.json](https://b2bdataindex.com/api/v1/cite.json) |
|
|
|
|
| ## License |
|
|
| This dataset is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
| You are free to share and adapt the data for any purpose, including commercial use, |
| as long as appropriate credit is given to **B2B Data Index (b2bdataindex.com)**. |
|
|