You’ll start by pulling Bombora’s 14 k+ topics and LeadSift’s 1.6 k list into two columns, then use VLOOKUP or MATCH to flag overlaps. Filter those matches by role, location, and company size to keep only relevant prospects. Next, deduplicate exact or near‑duplicate entries, keeping the version with richer intent detail. This isolates pure purchase signals, cutting through chatter and letting you focus on high‑intent outreach. Keep going and you’ll discover the next steps for turning these signals into actionable campaigns.
Find Overlapping Buying‑Intent Topics

How do you pinpoint the exact buying‑intent topics that appear in both Bombora and LeadSift? First, download Bombora’s latest .xlsx Full Topic List from the Resources page. Open the file and copy the column of 14,000+ topics into a spreadsheet. Next, pull the 1,600+ LeadSift topics listed in Apollo’s article and paste them into a second column. Use a simple VLOOKUP or MATCH function to flag rows where the two columns intersect—those are your overlapping buying‑intent topics. Filter the results by the role, location, and company‑size criteria you’ve set in Apollo, then schedule a daily refresh every 24 hours. This routine keeps your list current, ensures you target companies actively researching your solutions, and prepares you for the next step of isolating pure purchase signals. Topic overlap can help you prioritize high-intent targets alongside the practical considerations of surge protector choices for gaming setups.
Remove Duplicate Entries to Isolate Pure Signals
After you’ve identified the overlapping buying‑intent topics, the next step is to strip away any exact or near‑duplicate entries so only pure signals remain.
Begin with a deduplication rule set: match identical topic names, duplicate descriptions, or the same intent categories.
Scan each post and flag entries that echo Bombora versus LeadSift themes or repeat the same buying intent language.
When you find a duplicate, remove it and keep the version that offers the most nuanced insight.
This pruning eliminates promotional noise and ensures every remaining item reflects a distinct signal.
The resulting list contains only unique, non‑overlapping buying intent cues, ready for deeper analysis without redundancy. Identified Signals
Why Isolate Pure Buying‑Intent Signals?

Why should you isolate pure buying‑intent signals? Because they cut through the chatter of likes, comments, and casual visits, delivering a clear, actionable cue that a prospect is ready to spend. When you focus on buying‑intent signals, you prioritize leads who’ve shown recent interest in specific products or services, so your outreach becomes personalized and timely. This reduction of noise lets you allocate time and resources to prospects with the highest conversion probability, boosting response rates and shortening sales cycles. By separating these signals from broader engagement data, you streamline follow‑ups, align messaging with actual purchase readiness, and ultimately drive more efficient, revenue‑focused results. Growth, Expansion, and Planning
Merge Overlapping Themes Into Unified Guidance
Merging overlapping themes into unified guidance means mapping each post to a single, clear theme—like buying‑intent data, social listening, or outreach ROI—so you eliminate duplicate definitions and actions. In practice, this includes aligning data collection with clearly defined intent signals and establishing a standardized taxonomy to track the effectiveness of responses and outcomes. High-intent signals help prioritize steps that directly support prospecting decisions: filter by intent data, rank high‑intent leads, and fine‑tune outreach ROI. The result is a concise, non‑redundant guide that walks you through data collection, categorization, value‑based responses, and closing the loop.
Provide Clear, Actionable Recommendations for Buying‑Intent Strategies

Identify the highest‑scoring buying‑intent posts from the daily‑updated Bombora and LeadSift feeds, then match each one to a concrete outreach step—case‑study for Pain Points, trial offer for Purchase Signals, or feature comparison for Comparison signals—to ensure every signal translates into a targeted, conversion‑focused action. You’ll then run Content Deduplication to strip overlapping topics, leaving only fresh Buy Signals that merit immediate follow‑up. This keeps your pipeline lean and your team focused on prospects who are ready to move. trial
- Pull posts with “trial” or “price” language from the last week.
- Tag each as Pain Point, Comparison, or Purchase Signal.
- Assign the matching outreach: case study, feature matrix, or trial link.
- Log the action in your CRM and schedule the next touchpoint.
Frequently Asked Questions
What Is Buying Intent in Apollo?
Buying intent in Apollo is when you detect prospects showing recent interest in specific products or services, using daily‑updated signals from sources like Bombora and LeadSift across platforms such as LinkedIn, TikTok, Yahoo, Twitter, and Google.
What Is Buying Intent?
Buying intent is when you show clear signals—like searching, content consumption, or social engagement—that indicate you’re ready to purchase a product or service, helping sellers prioritize and tailor outreach.
Does Apollo.Io Have Intent Data?
Yes, Apollo.io gives you intent data—multiple sources track footprints, and you can filter by role, location, and size, accessing Bombora and LeadSift topics, though higher‑tier plans unlock the full set.
How to Find Buying Intent?
You find buying intent by pulling Bombora and LeadSift topics into Apollo, filtering for recent signals, role, and company, then reviewing the updated list daily to spot prospects actively researching your solution.
In Summary
You’ve now pinpointed the core buying‑intent topics, stripped out duplicates, and isolated pure signals. By merging overlapping themes, you’ve created a concise roadmap that highlights exactly what prospects care about. Use this unified guidance to craft targeted content, prioritize high‑intent keywords, and align your sales outreach. The result is a sharper strategy that drives qualified leads and boosts conversion rates.





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