Does Intent Data Improve Architect Prospecting Timing? New Research | InfoGlobalData

Intent data can help sales teams distinguish between architects who are simply potential prospects and firms showing evidence of active business or technology needs. That distinction is becoming more important as architecture firms navigate an uneven project market: the AIA/Deltek Architecture Billings Index stood at 47.2 in August 2026, indicating that most firms still reported declining billings, while inquiries for new projects showed modest growth.

For teams using an Architect Email List, this creates a timing problem. Contacting every firm with the same message ignores differences in project activity, technology adoption, hiring, and business conditions. Current B2B research suggests intent signals can help revenue teams identify where buying activity is occurring, but the value depends on signal quality, recency, and how quickly sales teams act. This article examines what the latest evidence reveals about using intent data to improve architect prospecting timing.

Why Timing Matters More in the Current Architecture Market

Architecture prospecting is taking place against a market that remains uneven rather than uniformly weak or strong.

The AIA/Deltek Architecture Billings Index was 47.2 in August 2026, below the 50-point threshold that indicates declining billings. At the same time, inquiries for new projects increased modestly, while newly signed design-contract values continued to decline. AIA also reported that only 25% of responding firm leaders expected billings to increase in the fourth quarter, down from 30% when they were asked about the third quarter.

This combination creates an important prospecting window.

A firm receiving more project inquiries may have emerging demand even if its current billings remain soft. Another firm with a long backlog may have little immediate capacity for a new vendor. A third firm investing in technology may be more receptive to software or data-related outreach.

A static Architect Mailing List cannot distinguish these situations by itself.

Intent data can add a behavioral layer that helps marketers decide which accounts to prioritize and when to engage them.

What Does Intent Data Actually Tell Sales Teams?

Intent data generally consists of behavioral signals suggesting that an organization is researching a topic, solution, problem, or category.

Examples can include:

• Repeated visits to relevant website pages
• Searches around a particular solution category
• Content downloads
• Engagement with product or technical material
• Topic-level research surges
• Increased activity across multiple people at the same company
• Hiring or organizational changes
• Project announcements or RFP activity
• Technology adoption signals

Forrester's 2025 research on B2B intent data emphasizes that intent analytics can help organizations understand where potential buyers are in their decision-making process. However, Forrester also notes that many organizations struggle to translate intent investments into measurable pipeline impact and often limit intent data to identifying accounts that appear to be actively buying.

That limitation is important.

Intent data should not be treated as a binary label of "ready to buy" versus "not ready." A signal is better understood as evidence that should influence prioritization.

New B2B Research Shows Why Earlier Signals Matter

6sense's 2025 B2B Buyer Experience Report provides some of the strongest recent evidence for the importance of timing.

Its global study included nearly 4,000 B2B buyers and found that the average buying cycle shortened from 11.3 months in 2024 to 10.1 months in 2025. The point of first contact with sellers moved from approximately 69% of the buying journey to 61%, meaning buyers were contacting vendors roughly six to seven weeks earlier.

Yet buyers were still making important decisions before talking to sales.

According to 6sense, 94% of buying groups ranked their preferred vendors before first contact, and the vendor ranked first during the selection phase ultimately won the deal 77% of the time.

The implication for an architect-focused sales campaign is significant.

If a firm begins researching a category today, waiting until it submits a form or directly requests a sales conversation may mean entering the process after preferences have already started forming.

Intent data is potentially valuable because it can provide an earlier indication that an account has moved from passive awareness toward active research.