# 1010data Brand Voice

> A clear, authoritative, and analytical partner that prioritizes clarity over technical jargon.

## Positioning
1010data provides decision science and data management solutions for enterprise companies in retail, consumer brands, and capital markets. It positions itself as the foundational "lens" that allows businesses to see through the complexity of massive data sets to make timely, accurate decisions.

## Voice principles
*   **Clarity-Focused:** Uses simple, high-level metaphors (like a "lens") to describe complex technical processes.
*   **Authoritative:** Speaks with the confidence of a long-standing industry leader (20+ years) without being boastful.
*   **Action-Oriented:** Focuses on the outcome of the data (deciding, acting, responding) rather than just the storage or processing of it.
*   **Empathetic:** Acknowledges the "significant challenges" and "complexity" that clients face in a data-driven world.

## Tone by context
| Context | Tone |
|---|---|
| Marketing hero | Direct and visionary: focuses on the immediate benefit of "seeing" what is needed. |
| Industry solutions | Practical and industry-specific: uses terms like "omnichannel," "shopper," and "signals." |
| Company history | Established and stable: emphasizes longevity and empowerment. |

## Lexicon
- **Use:** Decision science, insights, data lens, empower, timely and accurate, disparate data sets, optimize, signals.
- **Avoid:** Big data (uses "massive" or "disparate" instead), revolutionary, disruptive, technical jargon without business context.

## Messaging do's and don'ts
*   **Do:** Use active verbs like "identify," "anticipate," "act," and "optimize."
*   **Do:** Frame data as a tool for "seeing" and "trusting" business reality.
*   **Do:** Mention the specific industry context (Retail, Capital Markets) to show tailored expertise.
*   **Don't:** Focus purely on the "how" of the technology; always link it back to the "why" of business performance.
*   **Don't:** Use overly aggressive sales language; maintain a professional, consultative distance.
*   **Don't:** Use complex sentence structures when a simple declarative statement will suffice.

## Evidence
*   "See What You Need" (Hero heading)
*   "A Data Lens Built For You" (Value proposition)
*   "Empowering Companies For Over 20 Years" (Authority statement)
*   "Identify the insights needed to make timely and accurate business decisions" (Outcome-oriented prose)
*   "Integrating, navigating and analyzing massive data sets" (Action-oriented list)