How do Credits work across storage, syncing, and profile enrichment?

If you are used to buying static contact lists from traditional data brokers, seeing variable Credits used for profile enrichment might be a new concept.

However, this dynamic system is exactly what allows Bread & Butter to deliver live, real-time intelligence. Instead of querying a cached, six-year-old database for an email address and a job title, Bread & Butter acts as a digital analyst. Every time a new lead is captured, our AI utilizes Credits as "fuel" to scour the web in real-time and synthesize a comprehensive, actionable profile.

In short: Deep Profile Enrichment credits are variable, priced like a taxi meter, because the AI's search effort genuinely differs from lead to lead, easy matches cost little, hard-to-verify "ghosts" cost the most. Storing profiles and syncing to your CRM work differently: both run on a flat, fixed rate every time, no variability. When credits run low, they're always applied in the same order, storage first, syncing second, enrichment last, and your basic contact sync never stops even if the rest queues. Enrichment's per-lead cost isn't predictable, but your monthly total is, since your mix of easy and hard matches tends to stay consistent from month to month.

Beyond the Spreadsheet: What Our AI Actually Searches For

To understand why this research requires variable compute power, it helps to understand what the AI is actually looking for. Our Deep Profile Enrichment does not stop at finding a basic social media link. It aggressively scans the web to build a complete narrative designed specifically for your sales team, including:

Individual Context: Verifying their name, current role, recent promotions, publications, and even personal touchpoints like public skills, hobbies, and volunteer causes.
Company Intelligence: Identifying the organization's market positioning, core offerings, recent product launches, corporate donations, and key leadership for multi-threading.
Timely Sales Hooks: Scanning for recent press releases, news articles, and specific awards won by the individual or the organization to give your SDRs the perfect icebreaker.
Journey Synthesis: Connecting their external digital footprint directly with their on-site intent, merging their public profile with their specific page engagement scores and heatmap data.

How are Credits Calculated?

Because some prospects have highly public footprints while others require deep investigation across multiple sources, our compute usage is variable. It operates similarly to a taxi meter, the harder our AI has to work to find the data, the more Credits are used.

Rapid Matches: If a prospect has a highly public and easily accessible digital footprint, our AI synthesizes their profile instantly. Because this requires minimal time and effort, these rapid matches consume very few credits.
Deep Forensic Searches: If a prospect is hard to find, our AI does not simply give up. It aggressively queries alternate databases, local city data, news sites, and professional registries. The harder the AI works to find a match, the more credits are used.

Why verifying a "Ghost" uses the most credits

Occasionally, a lead will submit an email address that has absolutely zero digital footprint, or the data is so conflicting (e.g., thousands of people with the exact same name) that we cannot confidently link the email to a single identity. You might be surprised to see that these empty profiles often consume the highest number of credits.

Ironically, these "ghosts" require the maximum amount of compute power. To definitively prove that a lead does not exist online, or to verify that the data is too ambiguous to trust, our engine must exhaustively search every available vector, which can take up to 30 minutes of continuous processing.

Bread & Butter has a strict philosophy: we prioritize accuracy above all else, and our AI will never guess or hallucinate data just to fill a field. While it might seem counterintuitive that an empty profile costs the most credits, this is actually a highly valuable sales trigger. By spending the compute power to guarantee this lead has no footprint, we ensure your sales reps do not waste 30 minutes of their own day trying to hunt down a ghost.

Complete transparency with the Enrichment Audit Log

Because the cost per search is dynamic, we provide absolute transparency into how your credits are being spent.

When you view your captured leads, you will see the exact credit cost associated with that specific real-time search, alongside a status badge justifying the spend:

Profile Found (Low Credits): Rapid match successfully completed.
Profile Found (High Credits): Deep, exhaustive search required to locate the footprint and contextual sales hooks.
No Footprint Verified (Highest Credits): Exhaustive 30-minute search completed; zero digital footprint exists, or data was too ambiguous to confidently verify.

Credits Aren't All Metered the Same Way

Enrichment is not the only thing credits pay for, and it's the only one of the three that works like a taxi meter. Storing a captured profile and syncing a Brief or Stream update to your CRM both run on a flat, fixed cost instead, the same every time, regardless of the lead or how complex their journey has been. If you know how many new profiles you're capturing, you know exactly what storage and syncing will cost you, no variability involved. Enrichment stays usage-based specifically because the underlying work varies lead to lead in the way described above, a flat rate there would mean every easy match quietly subsidizes the hard ones.

Why Enrichment Still Feels Predictable Month to Month

Even though no single lead's enrichment cost is knowable in advance, most businesses see a fairly consistent mix of easy and hard matches every month, since their traffic and audience don't shift dramatically week to week. Once you have a billing cycle or two of history, that mix averages out into a stable number, so your total enrichment spend becomes a reliable line to plan around, even if the per-lead cost never is. Your first 30 days on the platform give you a real, observed baseline rather than a guess, by the end of your trial you'll know roughly how many profiles you're adding and what your enrichment mix looks like, so you can decide from real numbers whether to keep every feature running or scale back.

What Happens First When Credits Run Low

Credits are always applied in the same order, account to account: storing your captured profiles comes first, since nothing else, enrichment or syncing, is possible without them. Syncing your Brief to your CRM comes second. Deep Profile Enrichment comes last, funded with whatever's left over. If sync credits run out, your integration doesn't go dark, it automatically falls back to syncing your basic contact list (name and email), so lead capture never stops even when the richer data pauses.

The Ultimate Platform Advantage

By utilizing a real-time compute model instead of static databases, Bread & Butter completely transforms the quality of your pipeline. Your sales team can open their CRM knowing that the insights they are using to draft emails were generated seconds ago, not months ago. And as your inbound traffic grows, you can seamlessly scale your processing power by adding stackable blocks of credits, ensuring your AI never stops researching your next best buyers.

A Note on AI Accuracy and Limitations

Bread & Butter's real-time research engine is incredibly powerful, and we currently maintain a 95%+ accuracy rate across our Profile Enrichment and Intelligence Brief generation. However, because our engine synthesizes live, unstructured data from across the open web, it is not flawless. Occasionally, the AI may encounter outdated source information, misinterpret context, or make a mistake. We strongly recommend that your sales reps quickly review the generated insights before sending out communications. The context provided is designed to massively accelerate your research and sales velocity, but you ultimately utilize this information at your own risk.