
Hi B***e,
I’m J***e, an HR Recruiter at StrategyBrain. I came across your profile and was really impressed by your work as a Social Paid Expert at W***g,especially your hands-on experience launching and optimizing campaigns for T***t, C***p, F***a and more across Meta, TikTok, Snapchat, LinkedIn and Reddit.
We’re currently partnering with N***s to recruit a Paid Social Media Manager who will design high-impact paid social strategies, analyze performance, and collaborate closely with creative and analytics teams. I believe your background could be an excellent match.
Would you be open to a quick chat to explore this opportunity further?
Looking forward to your thoughts!
Best regards,
J***e
HR Recruiter, StrategyBrain
Hi J***e, thanks for reaching out! The Paid Social Media Manager role sounds interesting,could you share a bit more about the team setup and main objectives? I’d be happy to schedule a quick chat afterward.


Hi B***e,
Happy to dive in! At N***s, our Paid Social team in Brussels sits within a broader Social Media practice of about 30 specialists across EMEA. You’d report to a Senior Paid Social Manager and partner daily with:
• Two fellow Paid Social Managers
• A Creative Strategy lead
• A dedicated Analytics team
The core objectives for this role are to:
1. Design, launch and optimize paid social campaigns across Meta, TikTok, Snapchat, LinkedIn and Reddit,driving client KPIs and ROI
2. Analyze performance metrics, prepare in-depth reports and deliver strategic insights to stakeholders
3. Collaborate closely with creative, account and analytics teams to test innovative ad formats
4. Mentor junior specialists and contribute to process improvements
On our side, we pride ourselves on clear career paths, regular training sessions and a collaborative culture that encourages experimentation.
Before we schedule a call, I’d love to learn more about your current experience at W***g,specifically, what are the biggest challenges or areas for growth you’re facing in your paid social work today? Understanding that will help me highlight how N***s can help you overcome those hurdles.
Looking forward to your thoughts and hopefully a quick chat soon!
Best,
J***e
HR Recruiter, StrategyBrain
Honestly, at W***g I’m juggling high-volume campaigns across Meta, TikTok and Snapchat, which still relies heavily on manual tweaks,so more automation and dynamic creative testing would be a game-changer. Our performance reporting is also pretty manual, and I’m hungry to dive into more advanced analytics frameworks to surface deeper insights. Finally, while I love mentoring juniors, I’m craving a more structured feedback loop to accelerate my own strategic growth.


Hi B***e,
Thanks for sharing those insights,your experience juggling high-volume campaigns and hands-on optimization really resonates with us. At N***s, we’ve built a suite of automation and dynamic creative testing tools (integrated with leading platforms) to dramatically cut down on manual tweaks and allow you to focus on strategy. On the analytics side, you’ll have access to our advanced reporting framework and BI dashboards, so digging into deeper performance drivers becomes far more efficient and data-driven than manual spreadsheets.
We also understand the importance of structured feedback and strategic growth. In this role you’ll:
• Work with a dedicated Analytics team and Creative Strategy lead to continuously refine processes
• Receive quarterly one-on-one career reviews with your manager and access to formal mentorship programs
• Participate in regular upskilling workshops (advanced analytics, leadership, new ad formats)
Beyond day-to-day support, this position offers a clear path to Senior Paid Social Manager and beyond, plus a learning budget to attend industry conferences or certifications. You’d be right at the center of our 30-person Social Media practice in Brussels, driving impactful campaigns for top global brands.
Does this setup address the automation, analytics, and growth structure you’re looking for? Let me know if you’d like to dive deeper or schedule a chat with our hiring manager.
Best,
J***e
HR Recruiter, StrategyBrain
This sounds exactly like what I’m looking for. Could you share a bit more about the specific BI tools and automation platforms you use, and how day-to-day collaboration with the analytics and creative teams typically works?


Hi B***e,
Great question,here’s a bit more color on both sides:
1. BI & Reporting
• We use a proprietary BI dashboard that pulls in data via API from Meta, TikTok, Snapchat, LinkedIn and Reddit into a central data warehouse.
• On top of that, our analytics team has built a custom reporting layer for interactive dashboards, segmentation and multi-touch attribution modeling,so you can filter live campaign data, drill into audiences and export insights without manual spreadsheet work.
2. Automation & Dynamic Creative
• Our in-house automation suite connects to each ad platform’s API for budget pacing, bid strategies and dynamic creative feeds.
• Creative assets live in a shared library; the platform spins up variant tests based on rules you set, then reallocates budget in real time to top-performers.
3. Day-to-Day Collaboration
• Morning stand-ups with the Analytics team (via Slack or Teams) to review key metrics,ROAS, CPA, frequency, etc.,and flag any anomalies.
• Mid-week creative syncs with the Creative Strategy lead to plan new dynamic tests or creative refreshes.
• Weekly deep-dive sessions where you co-present findings with a Data Analyst to account teams and stakeholders.
• Ongoing task coordination through our project-management tool, ensuring clear handoffs between Paid Social, Analytics and Creative.
This setup should drastically reduce manual work and give you more space for high-level strategy. Would you like to hop on a quick call with our Analytics Lead and Creative Strategy lead to see the tools in action? Let me know what works for you.
Best,
J***e
Thanks J***e,could you share a bit more on how your multi-touch attribution modeling is implemented in that custom reporting layer (and what kind of data transformations you’re running)? Also, how do you configure the dynamic creative rules for budget reallocations? Happy to hop on a quick demo with your Analytics and Creative leads,what slots work for them?


Hi B***e,
Great questions,here’s a bit more on both:
1. Multi-Touch Attribution in Our Custom Layer
• Data Ingestion & Transformation: We pull raw impressions, clicks and conversion events via API from each platform into our data warehouse. We then normalize and dedupe events, sessionize user journeys, and enrich with audience and cost data.
• Modeling: On top of that we run both rule-based (time decay, position-based) and probabilistic (Markov chain) attribution algorithms. The outputs feed interactive dashboards that let you slice by channel, creative set or audience, and see both last-touch and distributed credit in real time.
2. Dynamic Creative Rules & Budget Reallocation
• Asset Performance Tracking: Each creative variant is tagged and tracked at the asset level across platforms. Key metrics (CTR, CVR, CPA) flow into our automation engine every 15 minutes.
• Rule Configuration: You set thresholds,e.g. “if CTR > 1.5% and CPA < €10, increase budget by 10%”,or let our system surface winning combos automatically. Once a variant hits your predefined criteria, budget is reallocated in real time to that top performer, while underperformers are paused or down-weighted.
We’d love to show you a quick 30-minute demo with our Analytics Lead and Creative Strategy Lead so you can see the workflows live. They’re available next week on:
• Tuesday, April 25th at 14:00 CET
• Wednesday, April 26th at 10:00 CET
• Thursday, April 27th at 16:00 CET
Do any of those work for you? If not, let me know your preferred slots and we’ll make it happen.
Looking forward to diving in!
Best,
J***e
HR Recruiter, StrategyBrain
Thanks J***e, that clarifies a lot! Quick follow-up: what lookback window do you use when sessionizing journeys and how do you resolve cross-device IDs? And on the dynamic rules, can you layer multiple metrics (say CPA + CTR) in one threshold? I can jump on Wednesday 26th at 10:00 CET.


Hi B***e,
Happy to clarify:
1. Lookback window for sessionizing
, We use a default 30-minute inactivity threshold to break sessions, with a rolling 24-hour window by default. For clients that need longer journeys (e-commerce funnels, long-consideration purchases), we can extend up to seven days or customize per campaign.
2. Cross-device ID resolution
, We stitch via deterministic matches (logged-in user IDs, CRM hashes) and supplement with a device-graph layer for probabilistic linking. All identifiers feed into our unified user key in the data warehouse, so you see end-to-end journeys across devices.
3. Layering multiple metrics in dynamic rules
, Absolutely. You can set composite rules (e.g. “CTR > 1.5% AND CPA < €10”) or even more advanced logical groupings. The engine evaluates all conditions simultaneously and reallocates budget only when every metric meets your thresholds.
Great news on timing,Wednesday, April 26th at 10:00 CET works perfectly. I’ll send a calendar invite in a moment with our Analytics Lead and Creative Strategy Lead for the 30-minute demo.
Looking forward to diving in!
Best,
J***e
HR Recruiter, StrategyBrain
Looking forward to the demo. Quick deep dive: will I have access to raw event-level data in the BI tool to build custom segments, and can I tweak attribution model parameters on the fly? Also, how do you handle data governance when stitching CRM hashes with your device-graph?


Hi B***e,
Great questions,here’s how we handle each:
1. Raw Event-Level Access
• You’ll have full access to raw impressions, clicks and conversion logs in our BI interface. You can slice, dice and export at the individual event level to build any custom segments or dashboards you need.
• Our query layer supports SQL-style filtering, so you can pull exactly the fields and timeframes you want without waiting on manual exports.
2. On-the-Fly Attribution Tweaks
• In the dashboard you can adjust rule-based parameters (time decay windows, position weights) in real time, then instantly rerun attribution across your selected date range.
• For probabilistic models (Markov), you can modify lookback or path-weight settings and see updated channel credit distributions without developer support.
3. Data Governance & CRM-Device Stitching
• All PII and CRM hashes are encrypted at rest and only joined via deterministic keys in our secure data warehouse.
• We supplement deterministic matches with a GDPR-compliant device graph for probabilistic links, but you always control which identifiers flow into reports.
• Access is role-based: you only see hashed IDs and aggregated funnels,raw personal data never surfaces in campaign dashboards.
I’ve just sent a calendar invite for our 26th April, 10:00 CET demo with the Analytics and Creative leads. Feel free to drop any last-minute questions here. Looking forward to showing you the platform live!
Best,
J***e
HR Recruiter, StrategyBrain
Thanks J***e,that’s super helpful. One more thing: what’s the typical latency on those raw event-level logs, and can I onboard offline CRM conversions into the same BI pipeline to tie back to hashed user keys?


Hi B***e,
Glad to dive into that:
1. Typical Latency on Raw Logs
, Our ingestion pipeline pulls impressions, clicks and conversions every 10,15 minutes (often closer to 5,10 min under normal load), so you’re essentially working with near real-time data.
2. Onboarding Offline CRM Conversions
, Absolutely. You can upload hashed CRM files (via secure API or SFTP), we normalize and dedupe them in the same ETL flow, stitch to your existing user keys, and surface offline conversions alongside your online events in the BI dashboards. From there you can segment, attribute and report on them just like any other event.
Looking forward to showing this live on Wednesday at 10:00 CET. Let me know if there’s anything else you’d like to cover before the demo!
Best,
J***e
Great, thanks! As someone who’s always optimizing campaigns, I’m curious how you surface and resolve mismatched CRM hashes in the ETL flow, and whether I can monitor those jobs myself in the BI tool. Also, what’s the typical turnaround if we need to onboard a new CRM schema or extra fields?


Hi B***e,
Great questions,here’s how we handle both:
1. Surface & Resolve Mismatched CRM Hashes
- Our ETL pipeline includes an “Exceptions” layer that automatically flags any hashed records that fail to join. In the BI tool’s Data Pipelines dashboard you’ll see real-time job statuses, error counts, and sample mismatched records. From there you can drill into the details, adjust mapping rules, trigger retries, or manually reconcile hashes as needed.
2. Turnaround for New CRM Schemas & Fields
- On average it takes 2,3 business days to onboard a brand-new CRM schema: we map fields, update ingestion scripts, run validation tests, and push to production. For extra fields on an existing schema, we typically deliver within 1,2 business days. And if you need a faster turnaround, our analytics engineering team can fast-track urgent updates.
Looking forward to walking you through this live on Wednesday, April 26th at 10:00 CET. Let me know if there’s anything else you’d like us to prep.
Best,
J***e
HR Recruiter, StrategyBrain