Answer

Impact of nonhuman traffic on monetization: new logos vs expansion, and large vs small

1) Is nonhuman traffic driving more new logos or expansion of existing customers?

From the excerpts, management does not give a clean, quantified split specifically attributable to the nonhuman-traffic shift (i.e., “X% of new logos are caused by nonhuman traffic”). However, the evidence they do provide points to monetization being supported by both: (a) strong new customer acquisition and (b) meaningful expansion among existing large customers.

Evidence consistent with more new logos

Cloudflare reports new customer bookings increasing at the fastest rate in more than 5 years in Q2 2026, which is consistent with improving acquisition dynamics, even though the excerpt doesn’t explicitly say “because nonhuman traffic increased.” ¹
They added more than 80,000 paying customers in Q2 2026 (74% YoY paying customer growth). ¹
They also describe ongoing “PLG” momentum and increasing customer wins tied to Workers, which indicates new adoption is happening through usage-driven developer/platform motion. ²
Importantly for your question, management directly discusses the nonhuman-traffic shift as the backdrop for business-model changes (e.g., “that is resulting in a number of things,” including how traffic is monetized and enabled). ³⁴⁵

Evidence consistent with expansion of existing customers

Large-customer economics show strong expansion: dollar-based net retention (DBNR) accelerated to 120% in Q2 2026, up 2% sequentially and 6% YoY. ⁶
They report revenue contribution from large customers at 73% of revenue (up from 71% in Q2 of the prior year), implying continued monetization concentration and expansion in the high end. ⁶
They explicitly attribute recent growth to “continued momentum with our largest customer cohorts” in the quarter. ⁶

Best-supported conclusion

Nonhuman traffic appears to improve monetization primarily through a combination of new adoption and upsell/expansion, but the excerpts more directly quantify (1) acquisition broadly and (2) expansion within large customers, rather than a causal “nonhuman traffic → new logos vs expansion” breakdown. ¹⁶³²

2) Is it boosting large customers more than smaller ones?

The excerpts show a clear pattern: monetization momentum is strongest in the “large customer” cohort, even as overall customer additions are robust.

Large customers: strong growth and retention

Cloudflare ended Q2 2026 with 4,698 large customers (spending >$100,000 annually), up 27% YoY, and they added 282 large customers in the quarter. ⁶
They added a record 986 large customers year-over-year. ⁶
They state every large customer cohort from $100,000 to $500,000 to $1M to $5M annualized revenue added a record number of net new customers year-over-year in Q2. ⁶
They report that revenue contribution from large customers was 73% of revenue in the quarter. ⁶
Expansion metrics reinforce this: DBNR of 120% in Q2 2026. ⁶

Smaller customers: evidence of broad paying customer growth, but less explicit linkage to nonhuman traffic

The company reports 80,000+ paying customer adds in Q2 2026. ¹
They discuss developer-platform adoption and consumption, implying smaller customers (or at least new/fast-growing cohorts) can benefit through Workers-driven adoption. ²¹

Best-supported conclusion

While smaller customers are clearly participating in the growth (paying customer count rose strongly), the monetization metrics management highlights most sharply—large-customer share of revenue and DBNR—are skewed to large customers. ⁶¹
Additionally, the nonhuman/agent shift is described in terms of new agent economics and payment/monetization infrastructure (e.g., micro-fee per request via “cloudflare.pay”), which tends to align with customers who can operationalize agents at scale—consistent with strong performance among large cohorts. ⁵⁴

3) Mechanism: how nonhuman traffic could translate into monetization (without assuming a causal split)

Management frames nonhuman traffic as a mix of (a) malicious traffic that they block without charging more and (b) legitimate agent traffic that is monetized differently and requires new charging infrastructure. ³⁴

They expect in ~5 years nonhuman traffic could be up to 1,000x human traffic, implying major traffic mix shift. ³
For malicious nonhuman traffic, they block and do not charge customers extra. ⁴
For legitimate nonhuman/agent traffic, they emphasize building capability to serve it efficiently and enable new monetization approaches, including small per-request fees via microtransactions (e.g., cloudflare.pay). ⁴⁵

This context supports why monetization could rise without necessarily being a simple “more traffic = more billable” story—because some nonhuman traffic is blocked, while monetizable agent traffic requires new productized charging rails. ⁴⁵

Bottom line

New logos vs expansion: The excerpts show strong new paying customer growth (80k+ adds) and strong large-customer expansion/retention (DBNR 120%, large-customer revenue share 73%), but they do not quantify how much of the split is caused by nonhuman traffic. ¹⁶
Large vs small: The monetization outcomes highlighted—large customer count growth, large customer revenue share, and DBNR—indicate that large customers are benefiting at least as much as, and likely more than, smaller ones, even while smaller customers contribute to overall paying-customer growth. ⁶¹

References

Cloudflare, Inc. (NET) earnings transcript 2026 - Q2

Disclaimer: The output generated by dafinchi.ai, a Large Language Model (LLM), may contain inaccuracies or "hallucinations." Users should independently verify the accuracy of any mathematical calculations, numerical data, and associated units, as well as the credibility of any sources cited. The developers and providers of dafinchi.ai cannot be held liable for any inaccuracies or decisions made based on the LLM's output.

Cloudflare Q2 2026 Monetization Surges Across New Logos and Large Clients

Sources used

Research question

Answer

Impact of nonhuman traffic on monetization: new logos vs expansion, and large vs small

1) Is nonhuman traffic driving more new logos or expansion of existing customers?

Evidence consistent with more new logos

Evidence consistent with expansion of existing customers

Best-supported conclusion

2) Is it boosting large customers more than smaller ones?

Large customers: strong growth and retention

Smaller customers: evidence of broad paying customer growth, but less explicit linkage to nonhuman traffic

Best-supported conclusion

3) Mechanism: how nonhuman traffic could translate into monetization (without assuming a causal split)

Bottom line

References

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